WebCab Optimization for .NET 2.6

Your rating
(0) 0 Votes
Date added
February 1, 2009
Developer
WebCab Components Limited | (more products)
All time downloads
448
License / Price
Free Trial / $179
Platform
Windows

Description of WebCab Optimization for .NET 2.6

Add optimization & L.P. solver to .NET, COM and Web service Applications.
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. Specialized Simplex Linear programming algorithm, including sensitivity analysis with respect to object functions coefficients or linear boundaries using a duality or direct approach.

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.

Key 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

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