.NET Web Service / C++Builder

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  • WebCab Functions for .NET by WebCab

    Add refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable; to your .NET, COM, and XML Web service Applications. WebCab Functions for .NET includes interpolation procedures covering Newton polynomials, Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free), Bicubic interpolation and procedures for find the interpolation functions coefficients. In order to solve an equation we provide the Van Wijngaarden-Dekker-Brent algorithm, interval bisection method, secant and false position, Newton-Raphson method and Ridders' method. 

  • WebCab Probability and Statistics for .NET by WebCab

    Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications. WebCab Probability and Statistics for .NET consists of 5 main modules. The Statistics module incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets. The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. The Standard Probability Distributions Module assists in the development of server-side applications that incorporate the Binomial, Poisson, Normal, Lognormal and Pareto probability distributions. The Confidence Intervals and Hypothesis Testing Module presents two aspects of inferential statistics known as confidence intervals and hypothesis testing. 

  • WebCab Bonds for .NET by WebCab

    Model the pricing and risk analytics of interest rate cash and derivative products. Bonds for .NET covers the fundamental theory of bonds including: Treasury bonds, Yield/Pricing, Zero Curve, Forward rates/FRAs, Duration and Convexity. Also covered are the topics of Fixed-Interest bonds and interest based calculations. 3-in-1: COM, .NET and XML Web service Interest derivatives pricing framework: set contract, set vol/price/interest models and run MC. Also covers: Treasury bonds, Price/Yield, Zero Curve, Fixed-Interest bonds, Forward rates/FRAs, Duration and Convexity. 

  • WebCab Optimization for .NET by WebCab

    Add refined procedures for solving and performing sensitivity analysis on uni and multi dimensional, local or global optimization problems which may or may not have constraints; to your .NET, COM and XML Web service Applications. WebCab Optimization for .NET includes Specialized Simplex Linear programming algorithm, including sensitivity analysis with respect to object functions coefficients or linear boundaries using a duality or direct approach. 

  • WebCab Portfolio for .NET by WebCab

    3-in-1: .NET, COM and XML Web service implementation of Markowitz Theory and Capital Asset Pricing Model (CAPM) to analyze and construct the optimal portfolio with/without asset weight constraints with respect to Markowitz Theory by giving the risk, return or investors utility function; or with respect to CAPM by given the risk, return or Market Portfolio weighting. WebCab Portfolio for .NET also includes Performance Evaluation, extensive auxiliary classes/methods including equation solve and interpolation procedures, analysis of Efficient Frontier, Market Portfolio and CML. 

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Best Sellers

  • WebCab Probability and Statistics for .NET by WebCab

    Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications. WebCab Probability and Statistics for .NET consists of 5 main modules. The Statistics module incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets. The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. The Standard Probability Distributions Module assists in the development of server-side applications that incorporate the Binomial, Poisson, Normal, Lognormal and Pareto probability distributions. The Confidence Intervals and Hypothesis Testing Module presents two aspects of inferential statistics known as confidence intervals and hypothesis testing. 

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