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WebCab Functions (J2SE Edition)

WebCab Functions (J2SE Edition)
Publisher: WebCab Components Limited
Date added:11-Oct-2004
Rating:
File size: 5.41 M
Language: English
License: Shareware - Time Limit
Price :$119.00
OS : Windows 98/NT/2000/ME/XP/VISTA
UpdateDate : 01-Nov-2007
Requirements : 128MB RAM,10 MB of hard-disk space for program installion.

WebCab Functions (J2SE Edition) Information

Java API Components offering refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable. The interpolation procedures provided include Newton polynomials, Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free), Bicubic interpolation and procedures for find the interpolation functions coefficients. In order to solve an equation we provide the Van Wijngaarden-Dekker-Brent algorithm, interval bisection method, secant and false position, Newton-Raphson method and Ridders' method. This suite includes the following features: 1) Interpolation Module: polynomial interpolation and extrapolation, coefficients of an interpolating polynomial, interpolation and extrapolation in two or more dimensions. 2) Equation Solver Module: Interval Method, Secant Method, Brent's Algorithm, Ridders' Method, Method of Regula Falsi, Method of Regula Falsi, Newton-Raphson Method, Fail-Safe Newton-Raphson Method.
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GLOBALSHAREWARE 5 Gold Disc Awards
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1.  WebCab Optimization for Delphi
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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.

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Java API Components offering refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable. The interpolation procedures provided include Newton polynomials, Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free), Bicubic interpolation and procedures for find the interpolation functions coefficients.

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Apply the Markowitz Theory and Capital Asset Pricing Model (CAPM) to analyze and construct the optimal portfolio with/without asset weight constraints with respect to Markowitz Theory by giving the risk, return or investors utility function; or with respect to CAPM by given the risk, return or Market Portfolio weighting.
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