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ESBPDF Analysis
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ESBPDF Analysis provides everything needed for using Discrete and Continuous Probability Distributions in a single Windows application, handling all the Probability Combinations for you. Features include Binomial, Poisson, Normal, Exponential, Student t, Chi Squared, F, Beta and Lognormal Distributions; Inverses of Normal, Student t, Chi Squared, F, Beta and Lognormal Distributions; Lists of Binomial Coefficients and Permutations plus more more details...
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3D Grapher
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3D Grapher is a feature-rich yet easy-to-use graph plotting and data visualization software suitable for students, engineers and everybody who needs to work with 2D and 3D graphs. With 3D Grapher you can easily plot the equation and table-based graphs, zoom them, rotate, view at any angle and even animate. You can draw the unlimited number of graphs in one coordinate system to visualize and analyze the domains of functions and their intercepts. more details...
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WebCab Functions (J2EE Edition)
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EJB Suite 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: Newton poly., Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free), Bicubic interpolation and procedures for find the interpolation functions coefficients. Solve using Newton-Raphson, Bisection,... more details...
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WebCab Functions for Delphi
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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 more details...
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WebCab Optimization (J2EE Edition)
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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. more details...
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WebCab Probability and Stat for .NET
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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) more details...
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WebCab Probability and Stat (J2SE Ed.)
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Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression more details...
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WebCab Probability and Stat (J2EE Ed.)
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.jpg)
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EJB Suite offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression more details...
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WebCab Probability and Stat for Delphi
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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) more details...
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WebCab Optimization for .NET
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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. more details...
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