A Mathematical/Statistical Control/Component by WebCab Components

WebCab Optimization (J2EE Edition) V2.6

Solve complex one and multi dimensional optimization problems efficiently with our powerful optimization component. This component offers advanced algorithms covering local and global unidimensional optimization, local multidimensional optimization with or without constraints. We also include a method for solving linear programming problems known as the simplex method.

This suite includes the following features:

• Local unidimensional optimization - finds global minima / maxima for continuous functions in one dimension


• Fast `low level' algorithms - use these algorithms when your primary concern is the speed and not the accuracy of the results. You will have to chose one bracketing algorithm and one locate algorithm (note, they are useful only in pairs). Also you will have to manually provide a lot of parameters (tolerance, maximum cycles etc) which can dramatically change the algorithm performance


• Bracketing algorithms - these methods find an interval where at least one extrema of a continuous function exists


• Acceleration bracketing - this method can be used with any continuous functions


• Parabolic extrapolation bracketing - gives better results than acceleration bracketing for a large class of functions (functions that are locally parabolic about the extrema)


• Acceleration bracketing for derivable functions - requires derivatives to be known; it's slower than the general acceleration algorithm but also safer


• Locate algorithms - these methods converge to the extrema if the extrema is bracketed and the function under consideration is continuous


• Parabolic interpolation locate - very fast algorithm but with moderate accuracy


• Linear locate - slow algorithm but exhibits stable convergence


• Brent locate - medium speed with good accuracy. With a good balance of speed and accuracy, this algorithm is very efficient to use


• Cubic interpolation locate - very fast algorithm with reasonable accuracy; requires the derivatives to be known}


• Brent method for derivable functions - medium speed and good accuracy but requires derivatives to be known

Technical Information

Component Type - Contains the following types of components...

• Enterprise Javabean

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