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LAPACK++ (Linear Algebra PACKage in C++) is a software library for numerical linear algebra that solves systems of linear equations and eigenvalue problems on high performance computer architectures. Computational support is provided for supports various matrix classes for vectors, non-symmetric matrices, SPD matrices, symmetric matrices, banded, triangular, and tridiagonal matrices; however, it does not include all of the capabilities of original f77 LAPACK. Emphasis is given to routines for solving linear systems consisting of non-symmetric matrices, symmetric positive definite systems, and solving linear least-square systems.

moo is a simple calculator that accepts C-like syntax as input. Calculations are done on expr, if given. Otherwise, the standard input is used. Numbers can be entered in hexadecimal (0xbeef), decimal (1984), octal (007), and binary (0b1001). All numerical operators (+, -, *, /, %), bit operators (|, ^, &, ~, <<, >>), and logical operators (==, !=, <, >, <=, >=, !, &&, ||) are supported.

Library and cli utility for reading data from OriginLab OPJ project files. Supported OPJ versions: 6.0 - 8.1 Usage: opj2dat <project.opj>

MathMod is a mathematical modeling software that visualize and animate implicit and parametric surfaces. MathMod supports: 3D and 4D plotting and animation, OBJ output file format, Texture and pigmentation support, Noise and Turbulence effects support, Large set of scripted examples.

matio is an ISO C library for reading and writing Matlab MAT files.

This is a Qt4 version of QwtPlot3d - a feature-rich Qt/OpenGL-based C++ programming library, providing essentially a bunch of 3D-widgets.

Gnuplot.py is a Python package that interfaces to gnuplot, the popular plotting program. It allows you to use gnuplot from within Python to plot arrays of data from memory, data files, or mathematical functions. If you use Python to perform computations or as `glue' for numerical programs, you can use this package to plot data on the fly as they are computed. And the combination with Python makes it is easy to automate things, including to create crude `animations' by plotting different datasets one after another. Commands are communicated to gnuplot through a pipe and data either through the same pipe (as "inline" data) or through temporary files. It has been written and tested on a Unix computer. This package has an object-oriented design that allows the user flexibility to set plot options and to run multiple gnuplot sessions simultaneously. If you are more ambitious, it is not difficult to add entirely new types of plottable items by deriving from the `PlotItem' class. For a demonstration, run the python file by typing `python demo.py'.

Python interface to GNU Scientific Library

Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy.

Viper is a minimalistic scientific plotter and run-time visualization module. Viper has support for visualizing meshes and solutions in DOLFIN.