Search Results for "decomposition"
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Showing 20 open source projects for "decomposition"
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CUTLASS
CUDA Templates for Linear Algebra Subroutines
CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and cuDNN. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes. These thread-wide, warp-wide, block-wide, and device-wide primitives can be specialized and tuned via custom tiling sizes, data types, and other algorithmic policy. ... -
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Armadillo
fast C++ library for linear algebra & scientific computing
* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:... -
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zkcm
A C++ library for multiprecision complex-number matrix calculations.
zkcm library is a C++ library for multi-precision complex-number matrix calculations. It provides a number of functionalities including the LU decomposition, the singular value decomposition, tensor product calculation, tracing-out operations, etc. -
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LaNet-vi provides images of large scale networks on a two-dimensional layout. The algorithm is based on the k-core and k-dense (m-core) decomposition. For more details see http://lanet-vi.fi.uba.ar.
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SL2
SL2 (= SLSL) - A Simple Linear Systems Library
SL2 is a C++ template library for solving systems of linear equations, providing the most common algorithms for dense and sparse systems. It uses OpenMP for parallelization and has no other dependencies. As the name suggests, SL2's implementation is staightforward with a focus on clear concepts, easy usage and understandable code. -
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Lsie
General purpose Lindenmayer system written in C++
Lsie (Elsie) is a Lindenmayer system implementation written in C++. It supports bracketed, stochastic, context sensitive, parametric, conditional grammars with parameter signature matching, homomorphism and decomposition. Expression evaluation and signature matching is based on an internal bytecode compiler and interpreter, types are statically checked at compile time. It may seem a bit overkill, but it is fun to write and it has some practical advantages. :) The project is work in progress. Basically it is a toy, it is not optimized nor thoroughly tested, and it supports only few built-in types. ... -
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CVM C++ Class Library encapsulates concepts of vector and square, band, symmetric and hermitian matrices in Euclidean space of real and complex numbers. It utilizes BLAS and LAPACK Fortran libraries. See http://cvmlib.com for binaries and more details.
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galprop_skymap_convert
Convert galprop skymaps to standard healpix
...This program performs this conversion, outputs both the original energy bins and energy-integrated spectra, and in addition convolves with a user-defined Gaussian both in energy bins and energy-integrated. Also outputs the spherical harmonic decomposition as HealPix, per energy bin. There is also an option to divide by a second HealPix file, for example to give intensity if file 1 is counts and file 2 is exposure, to give intensity. Now also converts back. -
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FreDec
Parallelized FREquency DEComposer algorithm
This is a parallelized algorithm performing a decomposition of the time-series data into a number of sinusoidal components, disentangling them from the white Gaussian noise. The algorithm analyses all suspicious frequencies, including the ones that look like an alias at a glance, but may become preferable later. After selection of the initial frequency candidates, the algorithm passes through all their possible combinations and estimates their multi-frequency statistical significance. ... -
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analyzematrix
Command line tool for reporting details on a given matrix
analyzematrix is a command line tool for learning detailed information about a matrix including its inverse, determinant, eigenvalues, eigenvectors, and singular value decomposition. -
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math toolkit
A C++ and Python library for finance, statistics and linear algebra.
...Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... And some auxiliary features like random number generators, equation solution, numerical integration, permutation/combination and gcd/lcm etc. It is aimed to be a convenient and handy toolkit to check out your ideas. -
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BADGr
Toolbox for Box Approximation, Decomposition, and Grasping
BADGr, the BoxGrasping toolbox, is a package for Box Approximation, Decomposition, and Grasping. The toolbox was developed in the Computer Vision & Active Perception Lab, at the Royal Institute of Technology, as a participant of the EU research project PACO-PLUS, and published at the project's end in Summer 2010. BADGr provides modules to approximate the shape of a point cloud (possibly from sensor data) by box primitives. -
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GiNaCRA is a C++ library providing data structures and algorithms for Real Algebraic computations. GiNaCRA is based on the efficient C++ library GiNaC including support for symbolic manipulations on polynomials.
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HASEM
Matrix c++ library solving any linear algebra problems
HASEM is a c++ template library, it can be easily configure as a expression template. HASEM solves any linear equation of any kind, it might be homogenous/none homogenous, compute the inverse of square/none square matrices, find LU decomposition, find determinant and rank of matrices, calculate the characteristic polynomial of matrices, find the eigenvalues and eigen vectors and so on. HASEM uses many methods, therefore, you are not limited to just one method, you have the choice to define your desire method as default one. With over 200 member functions and over 40 none member functions HASEM is almost able to solve any linear algebra problems. ... -
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matrixclass
A small and simple cpp template class for manage matrix.
...Support the calculus of the determinant with the Lagrange's algorithm and the Gauss' method. From the revision 11 are avaiable new functions, like crop and cat of matrixes, and the LU decomposition algorithm. -
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LAPACK++ is a library for high performance linear algebra computations. This version includes support for solving linear systems using LU, Cholesky, QR matrix factorizations, for real and complex matrices.
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It is a six d.o.f. path planner for free-flying robots. It is based on hierarchical cell CSpace decomposition, sampling and Harmonic functions. Path Planning and Haptic rendering are integrated to find a free path and to provide haptic feedback.
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Epsilon decomposition creates block diagonal matrix by permuting matrix rows and columns and by removing matrix elements that are less than epsilon. Epsd can be used in decentralized control in order to find what parts of the system are weakly coupled.
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In many parallel scientific applications the process of grid generation, decomposition, message passing, and performance measurements are of similar stucture. The projects intention is to develop a generic function library that will contain all these.
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Integer Singular Value Decomposition Genetic Algorithm Function Fitter. This is an optimization algorithm that performs a similar role to a neural network.
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