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WebCab Optimization for Delphi: Delphi Component containing refined procedures for solving uni and multi dimensional, local or global optimization problems. Specialized Linear programming algorithms based on the Simplex Algorithm and duality, are included.
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Buy WebCab Optimization for Delphi 2.6 Full Version

  

WebCab Optimization for Delphi

 by 

WebCab Components


Supported languages: English
Supported OS: Win98 / Windows2000 / WinXP / Windows2003 / Mac OS X
Downloaded: 439 times
Free download (2.71 Mb) Buy full version for only $179.00!
Refined procedures for solving and performing sensitivity analysis on uni and multi dimensional, local or global optimization problems which may or may not have linear constraints. Specialized Linear programming algorithms based on the Simplex Algorithm and duality are included along with a framework for sensitivity analysis w.r.t. boundaries (duality, or direct approach), or object function coefficients.

This suite includes the following features: local unidimensional optimization; fast 'low level ' algorithms where the weight is on speed and not the accuracy of the results; bracketing algorithms - these methods find an interval where at least one extrema of a continuous function exists; locate algorithms - these methods converge to the extrema if the extrema is bracketed and the function under consideration is continuous; accurate `high level' algorithms; global unidimensional optimization - finds global minima / maxima; unconstrained local multidimensional optimization; unconstrained global multidimensional optimization; constrained optimization for derivable functions with linear constraints; linear programming - here the functions are linear and the constraints are linear; sensitivity Analysis - Stability of the value and location of the extremum

Keywords: Delphi .NET C# COM VB.NET solve sensitivity analysis uni multi dimensional local global optimization maximum minimum optimization algorithm
Free download (2.71 Mb) Buy full version for only $179.00!
Rated 0/10 (3384 votes)
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