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WebCab Optimization for Delphi 2.6

Add optimization & Linear Programming solver to your .NET and COM Applications.
Last updated: January 3, 2009
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WebCab Optimization for Delphi 2.6 Summary:

Publisher: WebCab Components
Rating:
Free Download WebCab Optimization for Delphi 2.6Download Now
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  • Windows,Mac - 2.71MB
  • Licence: Demo, $179.00 to buy
  • Date Added: October 4, 2004
  • Release status: Major Update

WebCab Optimization for Delphi 2.6 Description:

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 (i.e. Lagrangian) or direct approach.

Software OS: Win98,Windows2000,WinXP,Windows2003,Mac OS X
Setup Filename: WebCabOptimizationDemoDelphiService.Msi
System Requirements: .NET Framework v1.x

WebCab Optimization for Delphi 2.6 Tags:

delph,net,com,vb net,solve,sensitivity,analysis,uni,multi,dimensional,local,global,optimization,maximum,minimum,optimization algorithm

WebCab Optimization for Delphi 2.6 Full Description:

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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