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WebCab Optimization for Delphi 2.6

Add refined procedures for solving uni and multi dimensional, local or global optimization problems to your .NET and COM Applications. Specialized

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

Similar software:
  • WebCab Optimization (J2EE Edition) 2.6 — EJB collection containing refined procedures for solving sensitivity analysis on uni and multi dimensional, local or global optimization problems. Specialized Linear programming algorithms based on the Simplex Algorithm and duality, are included.
  • WebCab Optimization for .NET 2.6 — Add refined procedures for solving uni and multi dimensional, local or global optimization problems to your .NET, COM, and XML Web service Applications. Specialized Linear programming algorithm based on the Simplex Algorithm and duality, included.
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