Search Results for "java curve fitting library"

LMath, based on DMath, is a mathematical library for FreePascal (FPC) and Lazarus. It is entirely written in Pascal and does not depend on external libraries. LMath provides routines and demo programs for numerical analysis, including mathematical functions, probabilities, matrices, optimization, linear and nonlinear equations, integration, Fast Fourier Transform, random numbers, curve fitting, statistics and graphics. It is organized s set of lazarus packages which makes it easily...

jPicEdt is an extensible internationalized vector-based drawing editor for LaTeX and related packages (TikZ, PsTricks,...), written in Java. It is also a library of reusable high-level graphic primitives.

RE/flex is the fast lexical analyzer generator (faster than Flex) with full Unicode support, indent/nodent/dedent anchors, lazy quantifiers, and many other modern features. Accepts Flex lexer specification syntax and is compatible with Bison/Yacc parsers. Generates reusable source code that is easy to understand. Supports fast scanning of UTF-8/16/32 files, strings, and streams. The reflex scanner generator tool generates clean lexer class code that is thread-safe. Generates Graphviz files...

This project now hosts the third-generation of Java SSH API, Maverick Synergy. This API builds on the Maverick Legacy commercial APIs and delivers a new API in a unified client/server framework. This API is available to the community under the LGPL open source license. This update includes ed25519 support, support for the new OpenSSH private key file format and stronger key exchange algorithms. The project continues to host both the original API and legacy applications created around...

AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over matrices...

... are meant to be released by members of the community under the terms of their preference. Joblets guarantee productivity through reusability. The framework is engineered in a multi-layered architecture on top on some of the most recognized open source projects of the global java community; consequently a steep learning curve and an open architecture for binding with other projects are ensured.