Functions for .NET v2.0
  We offer 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. The interpolation procedures provided include 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.
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   Optimization for .NET v2.6
  Refined procedures for solving and performing sensitivity analysis on uni and multi dimensional, local or global optimization problems which may or may not have linear constraints. Specialized Linear programming algorithms based on the Simplex Algorithm and duality are included along with a framework for sensitivity analysis w.r.t. boundaries (duality, or direct approach), or object function coefficients.
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   ODE and Differential Calculus for .NET
  We provide a range of fnuctionality to solve Calculus based problems, including the evaluation of the differential at a point and the Definite Integral. We also include procedures by which the solution of a system of ODE's can be found.    The ODE Module implements methods for finding solutions to systems of ordinary differential equations (ODE's) using Runge Kutta, modified mid-point, Bulirsh-Stoer, Rosenbrock, semi-implicit extrapolation methods and the second-order conservative equations.    The Integration and Differentiation Modules provide precise numerical techniques by which the integral and derivative of a function at a point can be evaluated. Ridders' algorithm, Newton polynomial and Chebyshev polynomial methods are used in the approximation of a functions derivative. Newton-Crule, Extended Trapezoidal rule, Extended Simpson's formula, Quadratic Gauss formula, Gaussian Quadrature (using the orthogonal functions of the Gauss-Legendre, Gauss-Laguerre, Gauss-Hermite and Gauss-Jacobi type), Romberg integration and Chebyshev-approximation procedures are implemented for the evaluation of the definite integral.
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   Probability and Statistics for .NET v3.6
  This suite consists of six packages: Statistics, Discrete Probability, Standard Probability Distributions, Curve Fitting, Hypothesis Testing, and Correlation & Regression which offer the following functionality.  (More...)
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