AlgART Java Libraries icon

AlgART Java Libraries

2 big stars
AlgART Java Libraries screenshot
Name: AlgART Java Libraries
Works on: windowsWindows 7 and above
Developer: AlgART Laboratory
Version: 1.2
Last Updated: 29 Mar 2017
Release: 12 Dec 2013
Category: Programming > Components Libraries
Rate this software:
281 downloads
commentsComments
downloadDownload
Liked it? Tell others:
details

AlgART Java Libraries Details

Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows 2012
SHA1 Hash: 98ca94e99ca785ac7023d3c00df6efdcd8c26375
Size: 2.97 MB
File Format: zip
Rating: 2.565217391 out of 5 based on 23 user ratings
Publisher Website: External Link
Downloads: 281
License: Free
AlgART Java Libraries is a free software by AlgART Laboratory and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows 2012.
You can download AlgART Java Libraries which is 2.97 MB in size and belongs to the software category Components Libraries.
AlgART Java Libraries was released on 2013-12-12 and last updated on our database on 2017-03-29 and is currently at version 1.2.
download button
Thank you for downloading from SoftPaz! Your download should start any moment now. It would be great if you could rate and share:
Rate this software:
Share in your network:
features

AlgART Java Libraries Description

AlgART Java Libraries is an efficient Java component designed to provide developers with a set of procedures that deal with matrices and smart arrays.
It is suited for programmers who want to build mathematics related application that require high speed for various matrix calculations. The package comprises Java sources, as well as a compiled library that is ready for use.
AlgART Java Libraries is characterized by a complex architecture that can create, process and manipulate very large matrices, with extensive support for both primitive and non-primitive data types.
The library was also designed for image processing with emphasis on FFT transformations, linear filtering and various rank related operations. Binary images can benefit from advanced measurement systems and skeletonization (or decomposition).
One of the most important aspects is that the library sports support for lazy evaluations; this reduces the runtime of various algorithms and procedures drastically, allowing for an enhanced performance in what the final application is concerned.
In addition, the library is optimized for multithreading architectures, meaning that it can work with multi-core processors and output results faster.
On an ending note, AlgART Java Libraries comes across as a decent set of programming procedures that can help Java developers to build steady math applications. The feature set it encases is sufficient for the average developer.
similarSimilar Software