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Universal Java Matrix Package

sparse and dense matrix, linear algebra, visualization, big data

5.0 Stars (6)
87 Downloads (This Week)
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Download ujmp-complete-0.2.5.jar
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Description

The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too.

The Universal Java Matrix Package provides various visualization methods, import and export filters for a large number of file formats, and even the possibility to link to JDBC databases. Multi-dimensional matrices as well as generic matrices with a specified object type are supported and very large matrices can be handled even when they do not fit into memory.

Universal Java Matrix Package Web Site

Features

  • matrix visualization
  • matrix import/export
  • linear algebra
  • matrix decomposition
  • matrix multiplication
  • sparse matrix
  • statistics

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ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
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User Reviews

  • disfunzione
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Thanks very good project! +

    Posted 06/08/2013
  • blaskrusik1978
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    very good project, thanks!

    Posted 04/06/2013
  • nolanromero
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Runs smoothly

    Posted 12/16/2012
  • jameshanson
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    ujmp, easy to use

    Posted 10/29/2012
  • sethjensen
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    great product

    Posted 09/16/2012
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Additional Project Details

Languages

English

Intended Audience

Developers, Engineering, Information Technology, Science/Research

User Interface

Java Swing

Programming Language

Java

Registered

2008-07-17
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