Detailed Description of WebCab Optimization for .NET 2.6

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 and COM Applications. Specialized Simplex Linear programming algorithm, including sensitivity analysis with respect to object functions coefficients or linear boundaries using a duality or direct approach.

This suite includes the following features:

Local UniDimensional -18 Distinct Algorithms involving different Location and Bracketing Algorithms. Bracketing: Acceleration, Parabolic extrapolation; Locate: Parabolic interpolation,
Linear, Brent, Cubic interpolation.
Global UniDimensional - Accurate high level algorithms for continuous and derivable object functions.
Local MultiDimensional - General Functions: Downhill simplex method of Nelder and Mead, Powell's method, Derivable functions: Steepest descent, Fletcher-Reeves, Polak-Riviere, Fletcher-Powell, Broyden-Fletcher-Goldfarb-Shanno
Global Multidimensional - Simulated annealing technique applied to local algorithm.
Constrained optimization - Linear: Rosen's gradient projection algorithm
Linear programming - Simplex algorithm, Duality, Sensitivity Analysis

This product also has the following technology aspects:

2-in-1: .NET and COM - Two DLLs, Two API Docs, Two sets of Client Examples all in 1 product. Offering a 1st class .NET and COM product implementation.
Extensive Client Examples - Multiple client examples including C# , VB.NET and C++.NET examples
Compatible Containers - Visual Studio 6 (incl. Visual Basic 6, Visual C++ 6), Visual Studio .NET (incl. Visual Basic .NET, Visual C# .NET, and Visual C++.NET), Borland's C++ Builder (incl. C++Builder, C++BuilderX, C++ 2005), Borland Delphi 3 - 2005, Office 97/2000/XP/2003.

TAGS OF WEBCAB OPTIMIZATION FOR .NET

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