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| Formula |
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| Formula is a library for evaluating various mathematical expressions. User can evaluate instantly a string setting variables, adding its own functions or operators |
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| JBoss Rules |
v 3.0.1 |
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| Drools has implementations for both Rete and Leaps; Leaps is considered experimental, as it is quite new. The Drools Rete implementation is called ReteOO signifying that Drools has an enhanced and optimised implementation of the Rete algorithm for Object Oriented systems. Other Rete based engines also have marketing terms for their proprietary enhancements to Rete, like RetePlus and Rete III. It is important to understand that names like Rete III are purely marketing where, unlike the original published Rete Algorithm, no details of implementation are published; thus asking a question like "Does Drools implement Rete III?" is nonsensical. The most common enhancements are covered in "Production Matching for Large Learning Systems (Rete/UL)" (1995) by Robert B. Doorenbos. |
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| Jena |
v 2.4 |
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| Jena is a Java framework for building Semantic Web applications. It provides a programmatic environment for RDF, RDFS and OWL, SPARQL and includes a rule-based inference engine. |
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| JEOPS |
v 2.1 |
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| JEOPS is a Java based forward chaining RULE ENGINE. This Rule Engine is used to power up the business process by rules in Java Application Servers, client applications, and Servlets. |
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| Jess |
v 7.0 |
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| Jess is a rule engine and scripting environment written entirely in Sun's JavaTM language by Ernest Friedman-Hill at Sandia National Laboratories in Livermore, CA. Using Jess, you can build Java software that has the capacity to "reason" using knowledge you supply in the form of declarative rules. Jess is small, light, and one of the fastest rule engines available. Its powerful scripting language gives you access to all of Java's APIs. |
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| JMathTools |
v N/A |
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| JMathTools is a collection of independent packages designed to fit common engineering/scientific computing needs. For now, JMathTools contains support for simple linear algebra for double[][] arrays using static methods (JMathArray), b) interactive plotting (JMathPlot) and c) input/output for double arrays (JMathIO). |
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| JMatLink |
v 1.3.0 |
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JMatLink connects Java and MATLAB.
Native methods make it possible to use MATLAB's com(edited)tional engine inside your own java applications, applets and servlets. |
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| JOpt |
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| JOpt.SDK is a route optimization Java library that uses specialized genetic algorithms to calculate an optimized allocation of orders and stops to mobile resources. The algorithm not only provides tours at minimum costs but also considers an arbitrary set of constraints for each tour. You may define your own constraints and optimization goals in order to customize JOpt.SDK to your specific planning needs or you decide to use one of our best practices addons in order to achieve a fast application of our optimization algorithms to selected industries. |
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| JRules |
v 6 |
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| ILOG JRules is a complete business rule management system (BRMS) for Java. ILOG JRules gives you the power to control your business policy changes—with confidence and without compromise. |
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| JScience |
v 3.2 |
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| JScience provides the most comprehensive JavaTM library for the scientific community. It creates synergy between all sciences (e.g. math, physics, sociology, biology, astronomy, economics, etc.) by integrating them into a single architecture. Also, it provides the best on-line services (webstart) for scientific calculations and visualizations. |
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| RngPack |
v 1.1a |
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| RngPack is a pseudorandom number generator package for Java. Pseudorandom means that the "random" numbers are generated by a deterministic mathematical process, not by a fundamentally random physical process such as radioactive decay or Johnson noise. RngPack contains base classes that add value to random number generators, four research grade generators, as well as a wrapper for Java's built in random number generator and a demonstration application. |
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| Webcab JavaBeans |
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| We offer 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. |
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| Webcab Optimizations |
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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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| Webcab Probability and Statistics |
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| This suite consists of six packages: Statistics, Discrete Probability, Standard Probability Distributions, Curve Fitting, Hypothesis Testing, and Correlation & Regression which offer the following functionality. |
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