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WebCab Optimization for .NET 2.6

.NET class library for solving local or global optimization problems.


Last Week downloads: 0
Total downloads: 98
  • Last Updated: Oct 27, 2004
  • License: Commercial $179
  • OS: Windows 98/NT 4.x/2000/XP
  • Requirements: .NET Framework v1.x

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For WebCab Optimization for .NET 2.6Publisher's description


WebCab Optimization for .NET is a Home & Education software developed by WebCab Components. After our trial and test, the software is proved to be official, secure and free. Here is the official description for WebCab Optimization for .NET:

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.

Product Details

This suite includes the following features:

Local uni dimensional optimization: Fast `low level' algorithms (Bracketing and Locate algorithms), Accurate `high level' algorithms, Global uni dimensional optimization.

Unconstrained global multidimensional optimization

Simulated annealing - a technique that has attracted significant attention as suitable for optimizing problems of large scale, especially ones where a desired global extremum is hidden among many poorer, local extrema

Constrained optimization for derivable functions with linear constraints

Rosen's gradient projection algorithm - uses the Kuhn-Tucker conditions as a termination criteria.

Linear programming - here the functions are linear and the constraints are linear

Simplex algorithm - Kuenzi, Tszchach and Zehnder implementation of the simplex algorithm for linear programming
Duality - Construct and solve the dual problem for a given primal linear programming problem.
Sensitivity Analysis - Study how the location and value of the extremum varies under perturbations of the object function and parallel shifts of the linear constraints. Sensitivity analysis of the boundaries can very efficient be carried out with the application a duality techniques.

Sensitivity Analysis - Stability of the value and location of the extremum

General Framework - Perform sensitivity analysis on any optimization problem/algorithm Combination.
Flexibility - Perform sensitivity analysis on the object function, constraints and/or algorithm.
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