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Dense and sparse linear algebra library for Ruby via SciRuby
C++ Ruby C

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README.rdoc

NMatrix

sciruby.com

Description

NMatrix is an experimental linear algebra library for Ruby, written mostly in C and C++. It can be used with or without SciRuby, but is part of the SciRuby project.

NMatrix was inspired by and based heavily upon NArray, by Masahiro Tanaka.

WARNING:

Please be aware that SciRuby and NMatrix are ALPHA status. If you're thinking of using SciRuby/NMatrix to write mission-critical code, such as for driving a car or flying a space shuttle, you may wish to choose other software (for now).

You should also be aware that NMatrix and NArray are incompatible with one another; you should not try to require both at the same time. Unfortunately, that causes problems with Ruby/GSL, which currently depends upon NArray. As such, we are working on a patch for Ruby/GSL.

Features

The following features exist in the current version of NMatrix (0.0.2):

  • Matrix storage containers: dense, yale, list (more to come)

  • Data types: uint8, int8, int16, int32, int64, float32, float64, complex64, complex128, rational64, rational128 (incomplete)

  • Conversion between storage and data types (except from-complex, and from-float-to-rational)

  • Element-wise operations and comparisons

  • Matrix-matrix multiplication for dense (using ATLAS) and yale

  • Matrix-vector multiplication for dense (using ATLAS)

  • Dense and list matrix slicing and referencing

  • Matlab .MAT v5 file input

  • C and C++ API

  • Level 3 BLAS internal implementations (no library) and ATLAS (with library) access:

    • xGEMM

    • xTRSM

  • LAPACK ATLAS access:

    • xGETRF (experimental)

  • LAPACK internal implementations (no library needed):

    • xGETRF

  • LU decomposition

Planned Features (Short-to-Medium Term)

These are features planned for NMatrix 0.1.0, our first beta.

  • calculation of determinant, trace, and eigenvalues (characteristic polynomial) (0.1.0)

  • Gaussian elimination

  • exponentials and square roots

  • matrix inversions

  • matrix decomposition/factorization

  • calculation of norms

  • tensor products

  • principal component analysis (PCA)

  • improved file I/O

  • operation scheduling

  • parallelization of some types of operations

  • optimization of non-BLAS data types on BLAS-like operations (e.g., matrix multiplication for rational numbers)

  • Ruby/GSL interoperability

SYNOPSIS:

For full instructions, please see sciruby.com/nmatrix. Generally, you should be able to do

gem install nmatrix

However, you will need to install ATLAS with CBLAS first. Those directions can be found at our website.

NOTE: The above command will not give you 0.0.2, which is not yet complete. To obtain 0.0.2, you should use the following sequence of commands:

git clone https://github.com/SciRuby/nmatrix.git
cd nmatrix/
rake compile
rake repackage
gem install pkg/nmatrix-0.0.2.gem

If you get errors about clapack.h or cblas.h, figure out where your ATLAS headers are using:

locate clapack.h

Then, tell your system:

export C_INCLUDE_PATH=/usr/local/atlas/include
export CPLUS_INCLUDE_PATH=/usr/local/atlas/include

Finally, try compiling again.

REQUIREMENTS:

  • ATLAS and LAPACK, probably

  • GCC 4.3

  • Ruby 1.9

INSTALLATION:

See Synopsis (above) for now. Gem coming later.

More detailed installation instructions are available at here

DEVELOPERS:

Code in the master branch of SciRuby/nmatrix on github should compile and link, but is not necessarily stable. You might also check out the dev branch if master hasn't been updated in some time.

git clone https://github.com/mohawkjohn/nmatrix.git

Before commiting any code, you MUST read our Contributor Agreement.

LICENSE:

Copyright © 2012, The Ruby Science Foundation.

All rights reserved.

NMatrix, along with SciRuby, is licensed under the BSD 2-clause license. See LICENSE.txt for details.

DONATIONS:

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