Math - Logic - AI - Rules - Science
Mathematics, Logic, Artificial Intelligence, Neural Networks, Constraint programming, Rule-based Engines, Science

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Built for Java
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Free or free version available
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Discontinued
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Library
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Source code provided
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Sold as a service
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Plug-in
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| Author: |
Object Connections |
| Latest version: |
3.0 |
| Description: |
Cross-platform business rules engine and management system that supports the capture, representation, documentation, maintenance, testing and deployment of an organization's business rules and application logic.
Features include: - Common Knowledge Studio: a visual business rules authoring environment that provides support for the capture, representation, maintenance, validation, evaluation, debugging and documentation of business rules - Common Knowledge Rules Engine: business rules authoring and execution API - Support for Java, Delphi, .NET, ActiveX - Supported rule formats include: Workflows, Rete rules, Decision grids, State maps, Flow charts, Decision tables, Decision trees, Scripts, Active scripts |
| Added: |
2007-01-30 |
| Attributes: |
[BuiltForJava] |
Home Page
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Catalyst Development Corporation |
| Latest version: |
3.0 |
| Description: |
For programmers and analysts, LogicGem proves logic and processes by finding missing rules, ambiguities, contradictions and redundancies. They're displayed visually and include tools to automatically correct errors. LogicGem provides the means to prototype a procedural concept, work it through analysis and design phases, then generates documentation and programming source code for various programming languages (Basic, C, C++, Fortran, FoxPro, Java, Pascal, PowerBuilder, SAS, Visual Basic, VB.NET, C#, or Xbase). |
| Added: |
2007-01-03 |
| Attributes: |
[BuiltForJava] [Library] |
Home Page
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| Latest version: |
3.0.0 |
| Description: |
Library for the scientific community.
Features include: - Units and quantities modules proposed as basis for the JSR-275 reference implementation. - A coordinates module compliant with OGC/ISO specifications for the development and deployment of geographic applications. - A mapping of mathematical structures (e.g. Group, Ring, Field, VectorSpace ) to Java interfaces. - A linear algebra module, which includes a parameterized matrix class capable of resolving linear system of equations involving any kind of elements (e.g. Complex, ModuloInteger, RationalFunctions). - A functions module for symbolic calculations and analysis. - Different types of numbers such as real numbers of arbitrary and guaranteed precision, or the always exact rational numbers. - Support for exact or arbitrary precision measurements (also strongly typed). - Support for Standard, Relativistic, High-Energy, Quantum and Natural physical models. - A monetary module for precision-guaranteed calculations and currencies conversions. |
| Added: |
2006-03-02 |
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[BuiltForJava] [Library] [FreeVersionAvailable] [SourceCodeProvided] |
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WebCab Components |
| 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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WebCab Components |
| 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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| Author: |
EsperTech |
| Latest version: |
1.10 |
| Description: |
Component for developing Complex Event Processing (CEP) and Event Streaming Processing (ESP) applications. NEsper enables development of applications that process large volumes of incoming messages or events. It filters and analyzes events in various ways, and respond to conditions of interest in real-time.
Features include: - Event Stream Processing: Time-based, interval-based, length-based and sorted windows; Grouping, aggregation, sorting, filtering and merging of event streams; Tailored SQL-like query language using insert into, select, from, where, group-by, having and order-by clauses - Event Pattern Matching - Event Representations includes vanilla objects, XML documents and dictionaries, querying of deep object graphs and XML structures
Also available for .NET as Nesper. |
| Added: |
2007-09-11 |
| Attributes: |
[BuiltForJava] [Library] [FreeVersionAvailable] [SourceCodeProvided] |
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