WebCab Functions for Delphi 2.0

Add 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; to your .NET, COM, and XML Web service Apps. Interpolate using Newton poly., Lagrange's formula, Burlisch-Stoer algorithm, Cubic/Bicubic splines (natural and free); Solve using Newton-Raphson, Bisection, Brent, secant and false position, Ridders' Method, Delphi 3-8 & 2005 support

File size: 2929 Kb

WebCab Optimization (J2EE Edition) 2.6

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.

File size: 6201 Kb

WebCab Optimization (J2SE Edition) 2.6

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.

File size: 5428 Kb

WebCab Optimization for .NET 2.6

Add refined procedures for solving and performing sensitivity analysis on uni and multi dimensional, local or global optimization problems which may or may not have constraints; to your .NET, COM and XML Web service Applications. Specialized Simplex Linear programming algorithm, including sensitivity analysis with respect to object functions coefficients or linear boundaries using a duality (i.e. Lagrangian) or direct approach.

File size: 3759 Kb

WebCab Optimization for Delphi 2.6

Add refined procedures for solving and performing sensitivity analysis on uni and multi dimensional, local or global optimization problems which may or may not have constraints; to your .NET, and COM Applications. Specialized Simplex Linear programming algorithm, including sensitivity analysis with respect to object functions coefficients or linear boundaries using a duality (i.e. Lagrangian) or direct approach.

File size: 2770 Kb

WebCab Probability and Stat (J2EE Ed.) 3.3

EJB Suite offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression

File size: 20129 Kb

WebCab Probability and Stat (J2SE Ed.) 3.3

Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression

File size: 7617 Kb

WebCab Probability and Stat for .NET 3.3

Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications. This product also has the following technology aspects: 3-in-1: .NET, COM, and XML Web services - 3 DLLs, 3 API Docs,... Extensive Client Examples (C#, VB, C++,...) ADO Mediator Compatible Containers (VS, VS.NET, Office, C++Builder, Delphi)

File size: 6010 Kb

WebCab Probability and Stat for Delphi 3.3

Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications. This product also has the following technology aspects: 3-in-1: .NET, COM, and XML Web services - 3 DLLs, 3 API Docs,... Extensive Client Examples (Delphi, C#, VB.NET) ADO Mediator Compatible Containers (Delphi 3-8 & 2005, C++Builder, Office)

File size: 5859 Kb

Regression Analysis and Forecasting 1.0

The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in text for ease of use. Once relationships have been identified, forecasting can be accomplished based on a range of available methodologies.

File size: 162 Kb