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WebCab Optimization for Delphi 2.6
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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 Delphi, C# and VB.NET examples
Compatible Containers - Delphi 3 - 8, Delphi 2005, Borland's C++ Builder (incl. C++Builder, C++BuilderX, C++ 2005), Office 97/2000/XP/2003.
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Download link |
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Size |
2770KB |
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License |
Demo |
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Price |
179 |
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Category |
Home & Education / Mathematics |
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Operating System |
Win98,Windows2000,WinXP,Windows2003,Mac OS X |
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Developer |
WebCab Components |
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Buy this soft |
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Related keywords: Delph, i .NET, COM, VB.NET, solve, sensitivity, analysis, uni, multi, dimensional, local, global, optimization, maximum, minimum, optimization algorithm, |
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