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WebCab Components  Home Page
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| Latest version: |
2.0 |
| Description: |
Java API components offering 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:
- Interpolation Module: polynomial interpolation and extrapolation, coefficients of an interpolating polynomial, interpolation and extrapolation in two or more dimensions.
- Equation Solver Module: Interval Method, Secant Method, Brent's Algorithm, Ridders' Method, Method of Regular Falsi, Method of Regula Falsi, Newton-Raphson Method, Fail-Safe Newton-Raphson Method. |
| Added: |
2005-03-10 |
| Attributes: |
 [BuiltForJava]  [Library] |
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| Latest version: |
3.6 |
| Description: |
Offers functionality for Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression.
Includes:
- Statistics Module: Incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets. This module incorporates weighted averages, geometric mean, Inter-Quartile range, mean and standard deviation, sample variance and the coefficient of variation.
- Discrete Probability Module: Encapsulates the foundations of discrete probability and discrete probability distributions. This component includes the addition law, conditional probability, cumulative distribution function, mean and variance of a distribution, expected values, covariance and simplification of expressions involving random variables.
- Correlation and Regression Module: Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. It covers linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means.
- Standard Probability Distributions Module: Assists in the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric and Exponential probability distributions. The probability density function, cumulative distribution function and inverse, mean, variance, Skewness and Kurtosis are implemented where appropriate and/or their approximations for each distribution. It also offers methods that randomly generate numbers from a given distribution.
- Confidence Intervals and Hypothesis Testing Module: Presents two aspects of inferential statistics known as confidence intervals and hypothesis testing. |
| Added: |
2005-03-14 |
| Updated: |
2006-12-05 |
| Attributes: |
[BuiltForJava] [Library] |
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