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. もっと見る
A math parser for programmers. uCalc FMP is a 32-bit DLL component which allows your program to evaluate expressions that are defined at runtime. uCalc FMP is a fast, reliable and flexible math engine that allows you to develop applications that allow end users to add their own set of formulas whenever they want instead of having to pre-determine them. It includes direct support for .NET compilers, Visual Basic, Visual Basic .NET, and Visual C++, Borland C++ Builder, Delphi and PowerBASIC (PB/DLL and PB/CC). もっと見る
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. もっと見る
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. もっと見る
数学、統計 / C++Builder
数学、統計 / C++Builder