ComponentSource Topic | Maths and Stats

NMath adds data visualization capabilities

Wed, 05 Oct 2011 14:03:51 GMT

Random number generation in NMath.

Version 5.1 provides static methods for plotting NMath types using the Microsoft Chart Controls for .NET.

NMath provides numerical components for math, financial, engineering, and scientific applications on the .NET platform. NMath includes: NMath Core (The foundational library includes general vector and matrix classes, complex number classes, random number generators, and numerical integration and differentiation mathematical methods), NMath Matrix (an advanced matrix manipulation library that extends the general matrix classes of NMath Core to include structured sparse matrix classes and factorizations, general matrix decompositions, and advanced least squares solutions), NMath Analysis (NMath Analysis is an advanced function manipulation library that extends the general analysis classes of NMath Core to include function minimization, root-finding, and linear programming). The following editions are available:

Updates in V5.1

Added assembly NMathChartMicrosoft.dll containing class NMathChart, which provides static methods for plotting NMath types using the Microsoft Chart Controls for .NET.
Upgraded to Intel MKL 10.3 Update 6 with resulting performance increases.
Added classes for solving first order initial value differential equations by the Runge-Kutta method. Class FirstOrderInitialValueProblem encapsulates a first order initial value differential equation, and class RungeKuttaSolver solves them.
Added static method NMathFunctions.NaNSort() for sorting vectors containing NaN's. NMathFunctions.Sort() no longer supports vectors containing NaN's.
NMathFunctions.Sort() now does a much faster in-place sort for compact vectors and an out-of-place sort for strided vectors. Previously all sorting was done out-of-place.
Added method NMathFunctions.Sign() that applies the signum function over real vectors.
Redesigned method NMathFunctions.Median(), which is now approximately 25X faster.
Added new Fill() method to vectorized random number generators for filling a DoubleVector.
Added NMathFunctions.CumulativeProduct() methods.
Improved performance of NMathFunctions.OuterProduct().
Added exponential moving average filter weights to class MovingWindowFilter.
Added MatrixFunctions.Solve() methods for factoring and solving general sparse matrices.
Added class LevenbergMarquardtMinimizer and deprecated LevenburgMarquardtMinimizer.
Added static method NMathKernel.Init() for explicitly loading the kernel assembly (for example, on application start-up).

About CenterSpace Software

CenterSpace Software was founded in December, 2002. Its mission is to develop enterprise class numerical component libraries for the .NET platform. The team has extensive experience developing high-performance, analytic software tools. The NMath Suite from CenterSpace Software provides building blocks for mathematical, financial, engineering, and scientific applications on the .NET platform. CenterSpace has satisfied customers in 48 countries around the world, primarily in financial, engineering, scientific, and academic markets.

Math Expression Editor Light updated to 1.2

Mon, 26 Sep 2011 16:01:00 GMT

An expression built using Math Expression Editor Light.

Math Expression Editor Light is a .NET WinForm component for mathematical expression operation for use in your .NET project. You can create, add and edit any mathematical expression. The Math Expression Editor Light component contains an object-mathematical computing environment. The design-time metadata editor allows you to easily remove standard functions and add your own mathematical functions.

Updates in 1.2

Improved import and export of mathematical expressions
Added the mathematical palette. You can customize the appearance of the palette, add your own functions and commands
Added support for Drag & Drop with the other components

About OtherControls

OtherControls specializes in the development of business components for the .NET platform. They develop software components including an exclusive development of components to order. Their key areas are: graphic components, mathematical systems, neural networks, etc. OtherControls headquarters are based in Minsk, Belarus.

Math Expression Editor Light updated

Mon, 01 Aug 2011 11:05:26 GMT

An expression built using Math Expression Editor Light.

Updates in 1.1

Added integral functions
Added exponential functions
The display of mathematical expressions has improved

About OtherControls

SQLDistributions released

Tue, 26 Jul 2011 14:40:12 GMT

Functions included with SQLDistributions.

Evaluation of PDF, CDF and their inverses; summary statistics; parameter estimation; random variate generation and more.

SQLDistributions extends and enhances your T-SQL programming environment by adding full-featured and highly accurate SQL implementations of 28 probability distributions. For each of these distributions the following functions are available: probability density function (pdf) and its inverse; cumulative density function (cdf) & its complement; quantile (inverse cdf) and its complement; hazard function; cumulative hazard function (chf), mean; median; mode; variance; standard deviation; skewness; kurtosis; percentile; percentilerank, flags: symmetric; unimodal; discontinuous (on left or right); strictly increasing / decreasing; inverted, minimum & maximum defined values for x; minimum & maximum supported values for x; minimum & maximum values of pdf, high-performance scalar and table-valued random variate generators (to generate random numbers that are distributed as per the distribution).

Features

Easy to Use
All TotallySQL Transact-SQL extensions are implemented using familiar programming objects within SQL (scalar and table-valued functions, aggregate functions, user-defined types, stored procedures) , keeping the syntax clean and making them as fast and easy to use as the built-in native statistics functions. The distributions in SQLDistributions are all implemented as Types within SQL, so distributions can be instantiated and stored as single objects in tables and local variables.

Outstanding Performance and Numerical Accuracy
The algorithms behind the SQLDistributions use industry-proven, best-in-class techniques devised by some of the world's leading numerical computing experts to maximise performance and accuracy even for fairly extreme input values. Careful heuristics and edge-case checks through the code ensure that problems caused by the limitations of floating-point arithmetic on digital computers (such as cancellation errors) are kept to an absolute minimum, and a broad range of special-purpose, high-performance numerical computing approaches are used in place of the slow, expensive computations that would result from 'naive' implementations of the underlying mathematics. The random variate generators are blisteringly fast.

Supported Distributions

Continuous:

Beta
Cauchy
Chi-squared
Exponential
F
Gamma
Gumbel
Inverse chi-squared
Inverse gamma
Laplace
Logistic
Log-normal
Non-central beta
Non-central chi-squared
Non-central F
Non-central T
Normal
Pareto
Rayleigh
T
Triangular
Uniform
Weibull

Discrete

Bernouilli
Binomial
Hypergeometric
Negative binomial
Poisson

Functions Available (for all distributions)

Probability density function pdf(x)
Inverse probability density function - finds possible values of x for a given value of pdf(x)
Cumulative density function cdf(x) & its complement (for greater precision when cdf(x) is near 1)
Quantile (inverse of cdf) & its complement (for greater precision when input value p is near 1)
Hazard function & cumulative hazard function
Mean, mode, median, variance, standard deviation, skewness, kurtosis & kurtosis excess
Percentile & percentile rank
Flags: symmetric, unimodal, discontinuous (left & right), strictly increasing / decreasing, inverted
Minimum & maximum defined & supported values of x
Minimum & maximum values of pdf(x)
Scalar & table-valued random variate generator functions
Parameter accessors (allows distribution parameters to be read for stored distributions)
Distributions are implemented as types within SQL - they can be instantiated & stored in tables etc.
Constructor functions are provided for each distribution
Distributions can also be initialized / reset by assigning comma-separated parameter strings.
All functions exist as instance methods (object.method() syntax) and as static methods (type::method() syntax)

About TotallySQL

TotallySQL are specialists in application development centered around Microsoft SQL Server, and in particular in creating CLR-based function libraries that enable advanced processing to be carried out within the database itself. They provide a range of off-the-shelf function libraries and can also build bespoke libraries to your specification. They also provide a range of database and data management services - including database design, ETL services, data cleansing and data migration.

SQLEngineering launched

Tue, 26 Jul 2011 14:38:40 GMT

Functions included in SQLEngineering.

Over 100 specialized functions & features for technical & engineering use.

SQLEngineering extends and enhances your T-SQL programming environment by adding a suite of 110+ advanced mathematical functions for scientific and engineering use, including: complex numbers with full math library; unit & number base conversions; Bessel functions; elliptical integrals; Legendre, Laguerre & Hermite polynomials; spherical harmonics; error functions and more.

Features

SQLEngineering includes:

Cylindrical and Spherical Bessel / Neumann functions
Laguerre, Legendre, Hermite polynomials and Spherical Harmonics
Elliptical integrals
Error functions
Exponential integrals
Complex numbers implemented as a new SQL type including 53 different arithmetic, trigonometric and hyperbolic functions
Number base conversions between decimal, hexadecimal, binary, octal and base64
Unit conversions for 190+ different units of measure (including distance, velocity, acceleration, area, volume, mass, density, pressure, flow, energy, power, time, temperature, flux, angle etc)

Beyond Excel
A few of the functions available in SQLEngineering (e.g. some of the base and unit conversions) are numerically faithful equivalents of similar functions found in Microsoft Excel, but offer a much broader range of functionality. These - and the many additional functions that have no analogue in Excel - use the innate power and ability of SQL Server to rapidly crunch through huge volumes of data - giving you an analytical capability that completely blows away anything you could do with spreadsheets.

Native Look and Feel
All TotallySQL Transact-SQL extensions are implemented using familiar programming objects within SQL (scalar and table-valued functions, aggregate functions, user-defined types, stored procedures) , keeping the syntax clean and making them as fast and easy to use as the built-in native functions such as SUM, AVG etc.

Outstanding Performance and Numerical Accuracy
The algorithms behind the SQLEngineering functions use industry-proven, best-in-class techniques devised by some of the world's leading numerical computing experts to maximise performance and accuracy even for fairly extreme input values. Careful heuristics and edge-case checks through the code ensure that problems caused by the limitations of floating-point arithmetic on digital computers (such as cancellation errors) are kept to an absolute minimum, and a broad range of special-purpose, high-performance numerical computing approaches are used in place of the slow, expensive computations that would result from 'naive' implementations of the underlying mathematics.

SQLEngineering Features

Cylindrical & spherical Bessel / Neumann functions
Elliptical integrals in Carlson symmetric and Legendre forms
Legendre, Laguerre & Hermite polynomials & spherical harmonics
Error function, its complement and their inverses
Exponential integrals Number base conversions between decimal, hexadecimal, octal, binary and base64
Unit conversions to / from 196 different units with support for metric prefixes kilo, mega etc
Complex number type that can be stored in tables & local variables
Complex number constructors for Cartesian (real, imaginary) & polar (magnitude, phase) inputs
Cartesian (real, imaginary) & polar (magnitude, phase) component accessor functions
Full set of trigonometric functions & inverses for complex numbers, returning complex results
Full set of hyperbolic functions & inverses for complex numbers, returning complex results
Addition, subtraction, multiplication & division for both complex / complex & complex / real
Logs of complex numbers to base e, base 10 & to any complex, real or imaginary base Exponents of complex numbers & powers to any complex, real or imaginary power
Conjugate, negation & comparison of complex numbers

About TotallySQL

SQLMath launched

Tue, 26 Jul 2011 14:39:00 GMT

Functions included in SQLMath.

A complete toolkit of over 80 functions & features for mathematical computing.

SQLMath extends and enhances your T-SQL programming environment by adding sequence generators; matrices; matrix arithmetic; trigonometric & hyperbolic functions; prime numbers; factorials; GCD/LCM; logs, powers exponents & roots; rounding, truncation & modular arithmetic and more.

Features

Number sequences: arithmetic, geometric, harmonic, alternating harmonic, p-series & Fibonacci
Modular multiplication and modular powers of very large integers, quotients
Rounding to specified multiples, decimal places & significant figures
Factorial, double factorial, rising & falling factorials, log of factorial, binomial / multinomial coefficients
Return nth prime, next prime, nth next prime, table of prime numbers, test of primeness
Summations: sum (x.y), sum(x2), sum (x2-y2), sum((x-y)2), sum(x2+y2), sum(aix(n+im))
Greatest common divisor & least common multiple of 2 numbers or of an entire dataset
Cube root & hypotenuse (suitable for difficult values of x)
Accurate computation of ex-1, ln(x+1) & sqrt(x+1) for small x, and of xy-1 for x near 1 or small y
Trigonometric functions SEC & CSC and inverse functions ACOT, ACSC, ASEC
Hyperbolic functions COSH, SINH, TANH, SECH, CSCH, COTH and inverses ACOSH, ASINH etc
Conversion of numbers up to 9,999,999 into Roman numerals
Matrix type: n x m matrices that can be stored in tables & local variables
Aggregate constructor (table to matrix) & table-valued serializer (matrix to table) for matrices
Add, subtract, multiply & compare matrices.Swap rows & columns, scale matrix, scale row, scale column, transpose, clone matrix
Read and set individual matrix elements, return row & column counts
Find determinant, inverse and reduced-row echelon form for matrices

About TotallySQL

SQLRollingStats released

Tue, 26 Jul 2011 14:39:24 GMT

Functions included in SQLRollingStats.

Compute running totals, moving averages, and many other statistics that need relative row references, within T-SQL.

SQLRollingStats is a solution for SQL Server that extends and enhances your T-SQL programming environment by adding 30+ statistical window functions - allowing the computation of results per row that depend on values in other rows. All functions are capable of taking into account all rows so far processed, or just the last n rows where n is the specified window size. Functions include: sum, product, maximum, minimum, range, mid-range, first (in sequence), nth previous, average (mean), variance (sample & population), standard deviation (sample & population), geometric mean, harmonic mean, quadratic mean, median, quartile, inter-quartile range, tri-mean, percentile, percentile rank, exponential average (mean), exponential variance, exponential standard deviation, weighted average, weighted variance (sample & population), weighted standard deviation (sample & population), weighted power mean.

Features

30+ scalar functions that return results based on data from current row and prior rows in the same query.All functions support a rolling window that discards older values, or can be cumulative (no window)
All functions support tiling (accumulation of data restarts when input row number restarts from 1)
All functions provide checking & enforcement of row-processing order using row number inputs
Sum and product
Maximum, minimum, range and mid-range
First (for a window size of n will return input from n rows ago) and Previous (value from prior row)
Average (mean), sample & population variance, sample & population standard deviation
Geometric mean, harmonic mean, quadratic mean
Weighted average, sample & population variance, sample & population standard deviations.
Exponentially weighted average, variance and standard deviations
Weighted power mean (generalized mean)
Median, quartile, inter-quartile range, tri-mean
Percentile & percentile rank

About TotallySQL

Math Expression Editor Light released

Mon, 11 Jul 2011 13:09:00 GMT

A mathematical expression.

A math expressions editor and computing environment in one component.

Features

Math Expression Editor Light (MEEL) allows:

to perform mathematical operations (substitution, computation, etc)
to enable/disable access to some functions
to add custom functions
to set colors to math expressions/Background/selected expressions/NullText/ etc.
to set fonts
to add custom menu items/buttons/lists/text fields/etc to the component panel
to work with the mathematical attributes of Data-object
to use object-mathematicalcomputing environment
to import math expressions to XML/data stream
to draw into a streem/image file.

Math Expression Editor Light consists of two separate assemblies MathTree and MathEditor. The first assembly provides a mathematical presentation, computation and data storage. The second is a WinForm component that allows you to display and edit mathematical formulas (equation editor). MathTree assembling is not associated with the GUI and product licence, so it can be used on the server side of your application. Math Expression Editor Library is a very easy solution, it does not make your applications heavier. Assemblies are small, and the GUI is constructed without the use of "hard" technologies such as WPF. The component has a designtime metadata editor that allows you to add / delete / modify mathematical functions without writing a single line of code. MEEL.MathTree has everything required to extend its potential. You can realize your solvers, converters, parsers. You can realize the tree traversal and so on , etc.

About OtherControls

NMath adds new random number generators

Thu, 17 Feb 2011 17:15:00 GMT

Random number generation in NMath.

Version 5.0 also features classes for solving quadratic programming (QP) and nonlinear programming (NLP) problems.

NMath Stats contains probability distributions, combinatorial functions, descriptive statistics, multi-type data table, multiple linear regression, hypothesis tests, analysis of variance (ANOVA), partial least squares (PLS), non-negative matrix factorization (NNMF) and multivariate statistics for the .NET platform.

Updates in NMath V5.0

A new set of random number generator classes based on MKL vectorized random number generators
Classes for creating independent streams of random numbers using the leapfrop and skip-ahead methods
Classes for generating quasirandom sequences using Niederreiter and Sobal methods
Classes for solving quadratic programming (QP) and nonlinear programming (NLP) problems

Updates in NMath Stats V3.3

Added a class for performing a Pearson's chi-square hypothesis test.

For more information visit:
http://www.centerspace.net/content/centerspace-software-releases-new-versions-nmath-net-numerical-libraries-0

About CenterSpace Software

Design and analyze various mechanisms

Wed, 09 Feb 2011 15:16:00 GMT

Crank-slider animations in Ch Mechanism Toolkit.

Ch Mechanism Toolkit analyzes fourbar linkages, crank-slider mechanisms, sixbar linkages, cam-follower systems and more.

Ch Mechanism Toolkit was developed in Ch Professional Edition with user friendly high-level numerical and graphical plotting capabilities, as well as easy-to-use QuickAnimation for quick animation.

Features

Variety of Mechanisms
Contain classes for design and analysis of four-bar, crank-slider, five-bar, six-bar linkages including fourbar, crank-slider, Watt six-bar, Stephenson six-bar, and cam-follower mechanisms. Following the examples of the source code for these mechanisms, users can develop their own software for analysis and design of other mechanisms.
Kinematic Analysis
Perform position, velocity, acceleration analysis for joint angles and coupler points.
Synthesis
Perform synthesis of mechanisms.
Dynamic Analysis
Perform dynamic analysis based on equations of motion.
Animation
Perform animation of mechanisms either in a local machine or through the Internet. Easily build animation for other mechanisms usingQuickAnimation™ in Ch.
Web-Based
Using the Web-based mechanism design and analysis system and Ch Mechanism Toolkit, design and analysis of four-bar, five-bar, six-bar linkages including fourbar/crank-slider, Watt six-bar, Stephenson six-bar, and cam-follower mechanism can be performed through the Web using a Web browser over the Internet without any programming. The user can develop other web-based applications easily using this mechanism toolkit.
Plotting Utilities
Provide many plotting functions to allow output visually displayed or exported as external files with a variety of different file formats including JPEG, PNG, GIF, Postscript, LaTeX, etc. They can also readily be copied and pasted in other applications such as Word in Windows.
C/C++ Compatible
Different from other software packages, programs written in Ch Mechanism Toolkit can work with existing C/C++ programs and libraries seamlessly.
Object-Oriented
Implemented as classes for commonly used mechanisms, Ch Mechanism Toolkit is object-oriented.
Cross Platform
Developed in Ch, applications using Ch Mechanism Toolkit can run across different platforms.
Embeddable
With Embedded Ch, Ch programs using Mechanism Toolkit can be embedded in other C/C++ application programs.

About SoftIntegration

SoftIntegration, Inc. is a leader of scripting technology for ubiquitous computing. SoftIntegration provides infrastructure software and services for rapid application development and deployment, scientific numerical computing, embedded scripting, and Web-based software integration. Ch, the company's flagship product, is an embeddable C/C++ interpreter that provides a comprehensive solution for engineers, scientists, Web programmers, software developers, C/C++ beginners and experts, system administrators, real-time programmers, quality analysts, and instructors and professors.

Syncfusion patches Essential Calculate

Wed, 09 Feb 2011 15:16:00 GMT

Calculation samples with Syncfusion Essential Calculate.

Syncfusion Essential Calculate allows you to add extensive calculation support to your business objects. Syncfusion Essential Calculate lets you easily setup forms that have calculation dependencies among various controls. Syncfusion Essential Calculate comes with a functions library of more than 150 entries, and it supports cross-sheet references. Syncfusion Essential Calculate includes Windows Forms, ASP.NET and WPF components.

Syncfusion Essential Calculate is also available as part of Syncfusion Essential Studio Reporting Edition and Syncfusion Essential Studio Enterprise.

Updates in 2011 Vol 1

ROUNDUP library function computation with decimal/negative value in second argument now performs correctly.
IF library function with AllowShortCircuitIFs property being set to true now behaves consistently.
A "KeyNotFound" exception is no longer raised when calling the CalculateAll method.
Evaluating a referenced formula in the same cell more than once now performs correctly.
A custom exception can now be re-thrown during a library function computation with the RethrowLibraryComputationExceptions property.
The text parsing issue involving semicolons, which occurred during an OR library function computation, has been fixed.
The trailing zero computation issue has been fixed with the FIXED library function, which occurred when handling an interior IF library function.

About Syncfusion

Syncfusion, Inc. is a leading provider of enterprise-class software components and tools for the Microsoft .NET platform. With Syncfusion, developers can move beyond simply coding applications to delivering business innovation - the elegant user interfaces, business intelligence dashboards, and sophisticated reporting that today's business users need, in the formats they demand. Syncfusion's award-winning .NET components and controls are designed to grow with you, whether you're using Windows Forms, WPF, ASP.NET, ASP.NET MVC or Silverlight.

Ch Control System Toolkit now available

Mon, 07 Feb 2011 17:25:00 GMT

Step response chart in Ch Control System Toolbox.

Modeling, design and analysis of continuous-time or discrete-time linear time invariant control systems.

Ch Control System Toolkit allows control systems to be modeled in the form of transfer functions as shown in a block diagram below, zero-pole-gain, or state-space. Ch Control System Toolkit supports most classical and modern control techniques through object-oriented programming based on a control class. It can seamlessly interface existing C/C++ code in either source code or binary static/dynamical libraries without re-compilation. It can even be embedded in other application programs. The software comes with sample code for each member function of the control class.

Features

C/C++ Compatible
Different from other similar control software packages, programs written in Ch Control System Toolkit can work with existing C/C++ programs and libraries seamlessly.
Object-Oriented
Implemented as a C++ class, Ch Control System Toolkit is object-oriented.
Cross-Platform
Developed in Ch, applications using Ch Control System Toolkit can run across different platforms.
Embeddable
With Embedded Ch, Ch programs using Control System Toolkit can be embedded in other C/C++ application programs.
Web-Based
Using the Web-based control design and analysis system in the Ch Control System Toolkit, design and analysis of control systems can be performed through the Web using a Web browser over the Internet without any software installation, system configuration and programming.
Model Building
Support multiple model representations such as state-space models, transfer function, and zero-pole-gain models both for continuous-time and discrete-time linear time invariant (LTI) systems. When a system is created using one of these three models, the Ch Control System Toolkit automatically converts it to other two models internally and keeps the information of these three models for user to retrieve.
Continuous/Discrete Systems Conversions
Provide the capability of converting from continuous to discrete, discrete to continuous, and discrete to discrete system.
System Interconnecting and Reduction
Construct arbitrary complex system models given in a block diagram form by using interconnecting member functions.
Time Domain Analysis
Compute the time responses to arbitrary inputs and initial conditions for both SISO and MIMO systems. The typical inputs are step and impulse inputs. The output responses can be displayed by either a plot or a data set.
Frequency Domain Analysis
Generate commonly used frequency response plots of Bode, Nyquist and Nichols plots. Calculates the bandwidth, DC gain, gain and phase margins of a SISO system for system dynamics and stability analysis.
Root Locus Design
Calculate and plots the root locus of a SISO system.
Controllability and Observability
Construct the controllability and observability matrices. Determines the controllability and observability of systems. Calculates the controllability and observability grammians of a state-space model.
State-Space Design
Find the control-law and estimator that will allow the user to select a set of pole locations for a satisfactory system dynamic response.
Optimal Control System Design and Equation Solvers
Calculate LQ-optimal gain for both continuous and discrete systems. Solves continuous and discrete-time Lyapunov equations.
Plotting Utilities
Provide many plotting functions to allow output visually displayed or exported as external files with a variety of different file formats including postscript file, PNG, LaTeX, etc. They can also readily be copied and pasted in other applications such as Word in Windows.

About SoftIntegration

SoftIntegration joins ComponentSource

Tue, 01 Feb 2011 17:39:00 GMT

The Ch IDE in Ch Professional.

SoftIntegration Graphical Library (SIGL) and Ch Professional now available to purchase from ComponentSource.

Ch Professional is an embeddable C/C++ Interpreter for cross-platform scripting, 2D/3D plotting, numerical computing, shell programming, quick animation, and embedded scripting. Ch Professional Edition is a C/C++ compatible interactive platform for scientific computing and scripting. Ch Professional is especially effective for teaching and learning Introduction to Computing, Algorithms, Computer-Aided Problem Solving, and Computer Programming. Ch can execute C/C++ code directly without compilation and without intermediate code.

SoftIntegration Graphical Library (SIGL) is a cross-platform C++ graphical library. It provides one of the simplest possible solutions for two- (2D) and three-dimensional (3D) graphical plotting within the framework of C/C++ for rapid application development and deployment. SIGL is for applications where the convenience of use, speed, performance, and cost matter. SIGL can save you from significant development and maintenance cost. With SIGL, you can design and deploy your engineering and science applications with visualization across different platforms.

About SoftIntegration

Syncfusion Essential Calculate patched

Thu, 04 Nov 2010 16:57:00 GMT

Calculation samples with Syncfusion Essential Calculate.

Syncfusion Essential Calculate allows you to add extensive calculation support to your business objects. Syncfusion Essential Calculate lets you easily setup forms that have calculation dependencies among various controls. Syncfusion Essential Calculate comes with a functions library of more than 150 entries, and it supports cross-sheet references. Please note: Syncfusion Essential Calculate includes WPF, ASP.NET and Windows Forms components.

Syncfusion Essential Calculate is also available as part of Syncfusion Essential Studio Reporting Edition and Syncfusion Essential Studio Enterprise.

Updates in 2010 Vol 4

ASP.NET and WPF Fixes

Parsing function arguments now work when the first character in a literal string argument is a comma
The Concatenate function will now strip interior quotes for string arguments containing embedded quotes

Windows Forms Fixes

The calculate functions NORMSINV and NORMSDIST no longer return incorrect results.
Formulas with NamedRanges now return correct values.
ROUND function no longer return incorrect result.

About Syncfusion

NMath improves performance

Mon, 02 Aug 2010 17:12:00 GMT

Random number generation in NMath.

NMath V4.1 and NMath Stats V3.2 increase performance with upgrade to Intel Math Kernel Library 10.2 Update 5.

Updates in NMath V4.1

Upgraded to Intel MKL 10.2 Update 5 with resulting performance increases
Replaced CLI C++ kernel with a pure C# kernel that invokes MKL using PInvoke() to improve .NET 4.0 experience
Added class FirstOrderInitialValueProblem to encapsulate a first order initial value differential equation
Added class RungeKuttaSolver for solving first order initial value differential equations by the Runge-Kutta method
Added SavitzkyGolay class to generate filtering coefficients for data smoothing or for computing smooth Nth-derivatives in noisy data
Added a SavitzkyGolayFilter class to both smooth data or compute the smoothed n-derivative of the the data. New boundary handling options for smooth transitions to the data boundaries
Added INonlinearLeastSqMinimizer and IBoundedNonlinearLeastSqMinimizer interfaces. Class TrustRegionMinimizer now implements IBoundedNonlinearLeastSqMinimizer. Class LevenburgMarquardtMinimizer now implements INonlinearLeastSqMinimizer
Added classes BoundedOneVariableFunctionFitter and BoundedMultiVariableFunctionFitter which derive from OneVariableFunctionFitter and MultiVariableFunctionFitter, respectively, and accept linear bounds on the solution
Class OneVariableFunctionFitter is now templatized on INonlinearLeastSqMinimizer, and BoundedOneVariableFunctionFitter is templatized on IBoundedNonlinearLeastSqMinimizer
Class MultiVariableFunctionFitter is now templatized on INonlinearLeastSqMinimizer, and class BoundedMultiVariableFunction is templatized on IBoundedNonlinearLeastSqMinimizer
Added <Type>GSVDecomp and <Type>GSVDecompServer classes to compute the generalized singular value decomposition (GSVD) of a pair of general rectangular matrices
Added class BoxCoxTransformation which performs a Box-Cox power transformation to make non-normal data resemble normally-distributed data
Added accessor for the Hessian in class VariableMetricMinimizer
Added "force through origin" option to class PolynomialLeastSquares
Fixed several minor issues with CLS compliance

Updates in NMath Stats V3.2

Upgraded to Intel MKL 10.2 Update 5 with resulting performance increases
Added classes InputVariableCorrelator and ReducedVarianceInputCorrelator to induce a desired rank correlation among a set of random input variables
Added class KruskalWallisTest for performing a Kruskal-Wallis rank sum test
Added class JohnsonDistribution to encapsulate the Johnson system of distributions
Added classes GoodnessOfFit and GoodnessOfFitParameter for testing the goodness of fit of least squares model-fitting classes, such as LinearRegression, PolynomialLeastSquares, and OneVariableFunctionFitter
Added class BoxCox for computing the Box-Cox power transformations
Added StatsFunction.Median() for float types
Fixed issue where StatsFunctions.SumOfSquares() could occasionally return a negative value
Improved support for missing values in DataFrame.Load()

For more information visit:
http://www.centerspace.net/content/centerspace-software-releases-new-versions-nmath-net-numerical-libraries

About CenterSpace Software

Syncfusion Essential Calculate patched

Wed, 21 Jul 2010 17:08:00 GMT

Syncfusion Essential Calculate samples including AutoCalc and formulas.

Syncfusion Essential Calculate Essential Calculate is a full-fledged stand-alone formula engine. Its features include a library of over 150 commonly used formulas. It is very extensible and provides for the easy addition of custom formulas. When used in conjunction with Essential ExcelRW, you can fully load, manipulate and compute Excel spreadsheets without any dependence upon Excel. Essential Calculate is UI-independent and can be used in both ASP.NET and Windows Forms applications.

Syncfusion Essential Calculate is also available as part of Syncfusion Essential Studio Business Intelligence Edition and Syncfusion Essential Studio Enterprise Edition.

Updates in Syncfusion Essential Calculate ASP.NET 2010 Vol 3

Fixes:

Parsing function arguments now work when the first character in a literal string argument is a comma
The Concatenate function will now strip interior quotes for string arguments containing embedded quotes

Updates in Syncfusion Essential Calculate Windows Forms 2010 Vol 3

Fixes:

DecimalSeperator parsing error in CalcEngine

Updates in Syncfusion Essential Calculate WPF 2010 Vol 3

Fixes:

Parsing function arguments now work when the first character in a literal string argument is a comma
The Concatenate function will now strip interior quotes for string arguments containing embedded quotes

For more information visit:
http://www.syncfusion.com/company/news/press-releases/2010/ncjulessintell2010-07-19/syncfusion releases essential studio 2010 volume 3

About Syncfusion

Syncfusion site licenses now available

Fri, 09 Jul 2010 13:22:00 GMT

Syncfusion business intelligence and reporting controls.

Site licenses for up to 500 developers are now available from ComponentSource for all Syncfusion products.

ComponentSource Enterprise Partner Syncfusion offers a broad range of enterprise-quality UI, reporting and business intelligence controls for .NET platforms.

Site licenses are now available for all Syncfusion products, which allow up to 500 developers at a single address.

About Syncfusion

USPExpress supports common math rounding

Tue, 11 May 2010 22:02:00 GMT

Evaluating an expression in the USPExpress sample.

USPExpress .NET Pro SL V2.3 also adds the option to add user-defined operators, plus new properties.

USPExpress .NET Pro SL is a component aimed to parse and evaluate scientific, engineering and mathematical expressions. It is easy-to-use, fast and lightweight, yet enterprise-level expression parsing tool and you can use it in your .NET Silverlight applications. USPExpress Math Parser has an extensive set of built-in functions such as trigonometrical, logarithmical and exponential, Logical functions and more. Source code is available.

Updates in V2.3

New SeparatorType, ListSeparator, NumberDecimalSeparator properties
Common math rounding introduced as an option. E.g.: Round(2.5, 0, MathRounding) yields 3.0. (By default, bankers' rounding is still used.)
An option to add user-defined operators
"Inf" constant. Stands for "positive infinity".
A sample has been added to show the usage of custom "+" and "-" operators in conjunction with dates, Excel-like. Example: #12/05/2008# - (365*10/2)
Function context passed inside IIF calls

About UNISOFT Plus

UNISOFT Plus is an independent software development and research company. It offers development of software in two broad categories: diverse business applications including e-business and technical/scientific applications. The company provides also re-engineering and porting of existing legacy software to new platforms/environments. UNISOFT Plus consistently pursues its technology strategy: employing of proven industry-standard component-based technologies and implementation of multi-tier architecture of applications.

Essential Calculate adds VS2010 support

Mon, 26 Apr 2010 21:42:00 GMT

Syncfusion Essential Calculate samples including AutoCalc and formulas.

2010 Volume 2 release adds full Visual Studio 2010 integration and support for Silverlight 4 and ASP.NET MVC 2.0.

Syncfusion Essential Calculate is a full-fledged stand-alone formula engine. Its features include a library of over 150 commonly used formulas. It is very extensible and provides for the easy addition of custom formulas. When used in conjunction with Essential ExcelRW, you can fully load, manipulate and compute Excel spreadsheets without any dependence upon Excel. Essential Calculate is UI-independent and can be used in both ASP.NET and Windows Forms applications. Also available as part of Syncfusion's Essential Studio.

Syncfusion Essential Calculate is also available as part of Syncfusion Essential Studio.

Updates in 2010 Volume 2

Complete integration with the Visual Studio 2010 designer surface and support for Silverlight 4 and ASP.NET MVC 2.0.

About Syncfusion

Syncfusion has a mission to produce world-class Windows Forms, ASP.NET and WPF components that enable developers to produce quality software for the most demanding of environments. With Syncfusion components, developers can quickly and easily add cutting-edge functionality, high performance and the very latest look and feel to their .NET applications. Syncfusion's innovative libraries are designed to be extensible to ensure maximum benefit to customers. The company provides full source code to enable seamless integration of its libraries with its customers' projects. Syncfusion firmly believes that its success is closely tied to that of its customers, and to help its customers succeed, the company strives to offer technical support that is accessible, accurate and fast.

USPExpress adds common math rounding

Wed, 07 Apr 2010 09:06:00 GMT

Evaluating an expression with USPExpress.

Version 2.3 also features the option to add user-defined operators.

USPExpress .NET Pro is a component designed to parse and evaluate scientific, engineering and mathematical expressions. It is an easy-to-use, fast and lightweight, yet enterprise-level expression parsing tool and you can use it in your .NET, C#, Visual Basic, C++, Delphi or Fortran applications. USPExpress Math Parser has an extensive set of built-in functions such as Trigonometrical, Logarithmical and exponential, Logical functions and more. Source code is available.

Updates in V2.3

New SeparatorType, ListSeparator, NumberDecimalSeparator properties
Common math rounding introduced as an option. E.g.: Round(2.5, 0, MathRounding) yields 3.0. (By default, bankers' rounding is still used.)
An option to add user-defined operators
"Inf" constant. Stands for "positive infinity".
A sample has been added to show the usage of custom "+" and "-" operators in conjunction with dates, Excel-like. Example: #12/05/2008# - (365*10/2)
Function context passed inside IIF calls

About UNISOFT Plus

UNISOFT Plus is an independent software development and research company. It offers development of software in two broad categories: diverse business applications including e-business and technical/scientific applications. The company provides also reengineering and porting of existing legacy software to new platforms/environments. Unisoft Plus consistently pursues its technology strategy: employing of proven industry-standard component-based technologies and implementation of multi-tier architecture of applications.

ComponentSource partners with Sofist

Tue, 19 Jan 2010 17:12:00 GMT

Calculating a median from XValues and FrequencyValues.

StatMax statistical analysis component now available.

StatMax is a stats component that contains over 70 computational tools. The mathematical computations that are provided categorized as: Permutations Combinations, Factorials, Mean, Median, Weighted Average, Standard Deviation Quartile Deviation, Covariance, Inter-quartile Deviation, Kurtosis, Linear Correlation Population Variance, Rank Correlation, Regression, Skewness for both grouped and ungrouped data, Tailed test sampling, T Distribution, F Distribution Chi Square, Probability, Binomial Distribution, Geometric Distribution, Poisson Distribution, Normal/Gaussian Distribution. StatMax quickly performs complex calculations, and can be programmed to perform composite calculations very easily.

Features

Arithmetic Mean
The Arithmetic mean is the average of the scores in the population
Arithmetic Mean Ungrouped Data
The sum of a set of data divided by the number of data. The method Arithmetic Mean Ungrouped Data computes the arithmetic mean of the given set of numbers.
Bernoulli Distribution Function
Bernoulli Distribution Function the outcome a trial can only be either a success or failure, then the trial is a Bernoulli trial. The method Bernoulli Distribution Function finds the distribution function for the given Bernoulli Distribution.
Bernoulli Distribution Mean
The Mean of the Bernoulli Distribution. The method Bernoulli Distribution Mean finds the mean of the given Bernoulli Distribution.
Bernoulli Distribution Variance
The Variance of the Bernoulli Distribution. The method Bernoulli Distribution Variance finds the variance of the given Bernoulli distribution.
Binomial Distribution Function
The distribution of a discrete random variable taking two values, usually 0 and 1. An experiment or trial that has exactly two possible results, often classified as 'success' or 'failure', is called a Bernoulli trial. If the probability of a success is p and the number of successes in a single experiment is the random variable X, then X is a Bernoulli variable (also called a binary variable) and is said to have a Bernoulli distribution with parameter p. The method Binomial Distribution Function finds the distribution function for the given binomial distribution.
Binomial Distribution Mean
The Mean of the Binomial Distribution. The method Binomial Distribution Mean finds the mean of a binomial distribution.
Binomial Distribution Variance
The Variance of the Binomial Distribution. The method Binomial Distribution Variance finds the variance of a binomial distribution.
Circular Permutations
Circular Permutations is an arrangement of objects around a circle. The method Circular Permutations computes the circular permutation of the given number of objects.
Coefficient Of Quartile Deviation Discrete Distribution
The Coefficient of quartile deviation discrete distribution is the discrete distribution of the Coefficient Of Quartile Deviation Ungrouped Data . The method Coefficient Of Quartile Deviation Discrete Dist computes the coefficient of quartile deviation of the given discrete frequency distribution.
Coefficient Of Quartile Deviation Ungrouped Data
Coefficient Of Quartile Deviation is a measure of comparison of the dispersion between two or more data. The method Coefficient Of Quartile Deviation Ungrouped Data computes the coefficient of quartile deviation of the given set of numbers.
Coefficient Of Variation
Coefficient of Variation is an attribute of a distribution: its standard deviation divided by its mean. The method Coefficient Of Variation computes the coefficient of variation of the given set of values.
Combined Standard Deviation
Is a measure of the dispersion of a set of data from its mean. The more spread apart the data, the higher the deviation. Standard Deviation is calculated as the square root of variance. The method CombinedStandardDeviation computes the combined standard deviation of the two given sets of values.
Correlation
A measure of linear association between two (ordered) lists.Two variables can be strongly correlated without having any causal relationship, and two variables can have a causal relationship and yet be uncorrelated.
Correlation coefficient
Denoted as "r", a measure of the linear relationship between two variables. The absolute value of "r" rovides an indication of the strength of the relationship.The value of "r" varies between positive 1 and negative 1, with -1 or 1 indicating a perfect linear relationship, and r = 0 indicating no relationship. The sign of the correlation coefficient indicates whether the slope of the line is positive or negative when the two variables are plotted in a scatterplot.
Covariance
Covariance measures the strength of the correlation between two or more sets of random variables. The covariance for two random variables x and y. The method Covariance computes the covariance between two random variables.
Critical Region
The critical region CR, or rejection region RR, is a set of values of the test statistic for which the null hypothesis is rejected in a hypothesis test; that is, the sample space for the test statistic is partitioned into two regions; one region (the critical region) will lead us to reject the null hypothesis H0', the other not. So, if the observed value of the test statistic is a member of the critical region, we conclude 'reject H0'; if it is not a member of the critical region then we conclude 'do not reject H0.
Critical Value(s)
The critical value(s) for a hypothesis test is a threshold to which the value of the test statistic in a sample is compared to determine whether or not the null hypothesis is rejected. The critical value for any hypothesis test depends on the significance level at which the test is carried out, and whether the test is one-sided or two-sided.
Exponential Distribution Mean
The Mean of the Exponential Distribution. The method Exponential Distribution Mean finds the mean of the given Exponential Distribution.
Exponential Distribution Variance
The Mean of the Exponential Distribution. The method Exponential Distribution Variance finds the variance of the given Exponential Distribution.
Factorial
The product of a given positive integer multiplied by all lesser positive integers. The method Factorial computes the factorial of the given number.
Geometric Distribution
Geometric distributions model (some) discrete random variables. Typically, a Geometric random variable is the number of trials required to obtain the first failure, for example, the number of tosses of a coin untill the first 'tail' is obtained, or a process where components from a production line are tested, in turn, until the first defective item is found.
Geometric Mean
Geometric mean is the 'n'th positive root of the product of 'n' positive given values. The method GeometricMean computes the geometric mean of the given set of numbers.
Linear Correlation Coefficient
The Linear Correlation Coefficient measures the strength and the direction of a linear relationship between two variables. The method Linear Correlation Coefficient computes the linear correlation coefficient between two attributes.
Lower quartile
The 25th percentile, calculated by ordering the data from smallest to largest and finding the value which lies 25% of the way up through the data.
Median - The median of a population is the point that divides the distribution of scores in half.
Mean Deviation Ungrouped Data
Is obtained by adding the raw scores and dividing the sum by the number of items. The method MeanDeviationUngroupedData computes the mean deviation of the given set of numbers.
Negative Binomial Distribution Function -Negative Binomial Distribution is a discrete probability distribution. It arises as the probability distribution of the number of failures in a sequence of Bernoulli trials needed to get a specified (non-random) number of successes. The method Negative Binomial Distribution Function finds the distribution function for the given Negative Binomial Distribution.
Permutations
Permutations is an arrangement of objects in different orders. The method Permutations computes the number of permutations for the given event.
Poisson distribution
A distribution often used to express probabilities concerning the number of events per unit. For example, the number of computer malfunctions per year, or the number of bubbles per square yard in a sheet of glass, might follow a Poisson distribution. The distribution is fully characterized by its mean, usually expressed in terms of a rate.
Probability
A probability provides a quantatative description of the likely occurrence of a particular event. Probability is conventionally expressed on a scale from 0 to 1; a rare event has a probability close to 0, a very common event has a probability close to 1.
Rank Correlation Coefficient
Rank correlation is the study of relationships between different rankings on the same set of items. A rank correlation coefficient measures the correspondence between two rankings and assesses its significance. The method Rank Correlation Coefficient computes the rank correlation coefficient between two independent attributes.
Standard Deviation
The standard deviation is one of several indices of variability that statisticians use to characterize the dispersion among the measures in a given population. To calculate the standard deviation of a population it is first necessary to calculate that population's variance. Numerically, the standard deviation is the square root of the variance.
T-Distribution Single Mean
The method T-Distribution Single Mean tests the null hypothesis H0, that is, whether the sample mean does not deviate significantly from the population mean for small samples.
Weighted Average
Weighted Average multiplies each data point by an arbitrary 'weight' and divides it by the sum of the weights (arithmetic mean). The method WeightedAverage computes the weighted average of the given data.

About Sofist

Sofist, established in 1994, is a software resource group involved with application design and development, systems study and analysis, software support and consultancy services. Its current areas of expertise include development of commercial, Web-based and client-server based applications using Visual Basic/ASP/ASP.NET/VB.NET/Visual FoxPro frontends and SQL Server/Oracle back-ends.

Essential Calculate patched

Thu, 26 Nov 2009 00:00:00 GMT

A selection of manual and automatic sample calculations.

Updates in 2009 Volume 4

Changes for the IF function
A new property has been added, AllowShortCircuitIFs, that indicates whether additional work should be done to guarantee the non-used alternative is not computed in an IF function call. Currently, if an IF function call involves nested Functions in its arguments, all the arguments are evaluated. Setting this new property avoids the unnecessary calculation. Also, support for calculating an IF function with two arguments has been added.
Complete Visual Studio 2008 support

About Syncfusion

CenterSpace Software updates NMath Suite

Mon, 16 Nov 2009 17:25:00 GMT

C# samples showing estimation and random number generation.

New release adds C# kernel, multi-core aware FFT classes and K-Means Clustering.

NMath lets you add math, financial, engineering and scientific functionality to your .NET applications. It contains the following components:

NMath Core
The foundational library includes general vector and matrix classes, complex number classes, random number generators, and numerical integration and differentiation mathematical methods.
NMath Matrix
An advanced matrix manipulation library that extends the general matrix classes of NMath Core to include structured sparse matrix classes and factorizations, general matrix decompositions, and advanced least squares solutions.
NMath Analysis
An advanced function manipulation library that extends the general analysis classes of NMath Core to include function minimization, root-finding, and linear programming.

NMath Suite is also available, and contains the three components listed above, plus:

NMath Stats
Provides math functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, and multivariate statistics.

Updates in NMath V4.0

C# Kernel
In addition to the CLI C++ kernel, the latest NMath 4.0 version includes a C# kernel. NMath is written primarily in C#, but includes a managed C++ (CLI C++) kernel, which provides an immutable and very fast interface to MKL. CLI C++ methods "pin" pointers to memory allocated on the managed heap before calling MKL. The managed memory referenced by a pinned pointer will not be touched by the .NET garbage collector as long as it is pinned. (Note that memory is passed by reference to native code, without any copying.) While the CLI C++ kernel is ideal for most cases, there are some applications that currently don't support it. For those cases, a C# kernel has been included.
Mono
The open source Mono Project provides a UNIX version of the .NET development platform, including a C# compiler and a Common Language Runtime. Its objective is to enable UNIX developers to build and deploy cross-platform .NET applications. However, because the Mono Project does not currently include a CLI C++ compiler, a C# kernel is required.
SQL Server CLR
It prohibits loading an assembly that contains both managed and unmanaged code. However, through the new C# kernel, you can open a managed assembly that makes Platform Invoke (P/Invoke) calls to native unmanaged methods. For most computations, NMath uses the Intel Math Kernel Library (MKL), which contains highly-optimized, extensively-threaded versions of the C and FORTRAN public domain computing packages known as the BLAS (Basic Linear Algebra Subroutines) and LAPACK (Linear Algebra PACKage). This gives the NMath class libraries performance levels comparable to C, and often results in performance an order of magnitude faster than non-platform-optimized implementations.
Fast Fourier Transforms (FFTs)
NMath 4.0 contains high performance, multi-core aware FFT classes. This set of classes will support all common 1D and 2D FFT computations in a robust easy-to-use object-oriented interface. All classes will efficiently support FFT's of arbitrary length, with a simple interface for both in-place and out-of-place computations. Additionally, there is a parallel set of classes for single precision computation.
Levenberg-Marquardt Nonlinear Least Squares
NMath 4.0 includes class LevenbergMarquardtMinimizer for minimizing the L2 norm of a function using the Levenberg-Marquardt algorithm (LMA). LMA is a standard in non-linear optimization, and is widely used for solving generic curve-fitting problems. LMA significantly outperforms gradient descent and conjugate gradient methods for medium sized problems, and complements the Trust Region minimizer already in NMath.
Linear Spline Interpolation
NMath 4.0 includes a class LinearSpline for representing a function whose values are determined by linear interpolation between tabulated values.
MKL Version 10.2
NMath 4.0 now leverages Intel's MKL Version 10.2. This provides many performance improvements for faster execution and taking advantage of more cores. It now also can take advantage of threading on more cores and more CPUs. These speed improvements generally range from 10% to 25%, and if you have a 24 core machine, the improvement can be as high as 130 times as great.

Updates in NMath Stats V3.1

K-Means Clustering
Includes a class for k-means clustering, to complement the hierarchical cluster analysis already in the library. The k-means clustering method assigns data points into k groups such that the sum of squares from points to the computed cluster centers is minimized. In general, k-means clustering uses far less memory that constructing a full hierarchical cluster tree.
Cronbach's Alpha
Includes a method for computing Cronbach's alpha, a measure of reliability (or consistency) in the framework of the domain sampling model. Cronbach's alpha measures how well a set of items (or variables) measures a single unidimensional latent construct.
Smoothing Filters
Includes classes for smoothing data by replacing each data point with a linear combination of the data points immediately to the left and right of the data point. You can provide the coefficients to use in the linear combination, or use provided methods to generate coefficients that implement a moving average filter and a Savitzky-Golay filter. A Savitzky-Golay filter performs a local polynomial regression on the data to determine the smoothed value for each point. This tends to preserve features of the data which are flattened by moving averages, for example, peak finding.

For more information visit:
http://www.centerspace.net/company/press-releases/centerspace-software-releases-new-versions-nmath-numerical-libraries