Search Results for "lapack"
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Showing 24 open source projects for "lapack"
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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: http://arma.sourceforge.net/download.html * Documentation: http://arma.sourceforge.net/docs.html * Bug reports: http://arma.sourceforge.net/faq.html * Git repo: https://gitlab.com/conradsnicta/armadillo-code -
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octave-ocl
OpenCL support for GNU Octave
...The Package offers new numeric data types with many built-in operations (e.g., overloaded operators). It is flexibly extendible by user-written OpenCL C programs. The Package does not, by itself, provide parallelization of higher numerical methods (like BLAS or LAPACK). The Package is also available from the corresponding Octave Forge webpage https://octave.sourceforge.io/ocl/index.html. More information on GNU Octave can be found at https://www.octave.org. -
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MatrixC++
MatrixC++ is a lightweight matrix library developed in C++
...MatrixC++ is designed to help solve engineering and math problems requiring vectors and matrices. MatrixC++ is OS independent and is as portable as we can make it. MatrixC++ supports overloaded operators, links with Lapack, and includes functions to facilitate porting from Octave type matrix scripting languages to C++. -
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RAtom
solves nonlinear Kohn-Sham equation for the neutral atom.
...High order Gauss quadratures are applied in order to obtain the total energy of atom with absolut accuracy of 1E-6 hartree. Disctretization leads to generalized eigenvalue problem, which is solved by procedures from LAPACK libraries. The program is implemented in C++, it runs as a single thread. The implemented algorithm is described in the following papers: 1. Z. Romanowski, "Adaptive solver of a Kohn-Sham equation for an atom", Modelling Simul. Mater. Sci. Eng. vol. 17, 045001 (2009) 2. Z. Romanowski, "Application of h-adaptive, high order finite element method to solve radial Schrödinger equation", Molecular Physics, vol. 107, pp. 1339-1348 (2009). ... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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CPPLapack is a c++ class wrapper for BLAS, LAPACK and PARDISO. Its special features are the followings. [1]User-friendly interface [2]Hi-speed matrix calculations using BLAS and LAPACK [3]Minimized number of copy times using Smart Temporary system
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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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ivl
A C++ template library extending syntax towards mathematical notation
...ivl includes a rich set of functions and operators, including operations for image processing. Seperate modules are also included. The module ivl-lina implements a linear algebra LAPACK wrapper. The module ivl-cv integrates OpenCV into ivl. -
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Runge
Runge is an Interactive Solver for Systems of Differential Equations
Runge is an Interactive Solver for Systems of Ordinary Differential Equations. It solves initial value problem (aka Cauchy problem). Few advantages Runge provides: It's fast. It utilizes BLAS and LAPACK libraries optimized for modern multi-core processors. It's interactive. It allows you to start a solution by mouse click on a plane. It's precise. It uses Runge Rule to adjust step length to satisfy required precision on each step. It's effective. When it needs to compute derivatives (Jacobian matrix, for example) it does that analytically, i.e. without using numerical methods. ... -
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TifaMMy isn't the fastest Matrix Multiplication yet! A library for cache oblivious matrix operations using the space filling Peano curve. Aim is for BLAS / LAPACK functionality (but with an intuitive C++ API).
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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The MPACK project is providing a multiple precision arithmetic version of linear algebra package, similar to the BLAS and LAPACK.
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QVision: Computer Vision Library for Qt
Computer vision and image processing library for Qt.
This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library,... -
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Seldon is a C++ library for linear algebra. It provides vectors and matrices: full, sparse, triangular, hermitian, ... It includes interfaces to Blas, Lapack, Mumps, SuperLU and UmfPack. Seldon implements several solvers such as Gmres, BiCgSTAB, Qmr,
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FLENS (Flexible Library for Efficient Numerical Solutions) is a C++ library for scientific computing. It can be considered as a very convenient and --- at the same time --- extremely efficient interface for BLAS and LAPACK. But it is much more than this
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NTmatrix C++ Matrix Class
A C++ matrix class for easy matrix manipulation
A C++ matrix class for creating matrix objects and easily performing elementary operations between matrix objects including addition, subtraction, multiplication, transposition, and trace. -
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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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Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.
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The Mimas Toolkit is a C++ real-time computer vision library. Algorithms include edge/corner-detection, object recognition/tracking, LSI-filters, segmentation, array-operators, convolution etc. OO wrappers for LAPACK, libxine, V4L, FFTW are provided.
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Lpp provides an easy to use, low level C and C++ interface to the LAPACK FORTRAN library. It provides the complete C interface to all 1350 FORTRAN routines and 421 C++ interfaces to the same routines allowing transparent use of LAPACK workspaces.
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CPPScaLapack is a C++ class wrapper for PBLAS and ScaLAPACK with MPI. CPPScaLapack provides a user-friendly interface of high-speed parallel matrix calculation with BLAS and LAPACK techonologies for programers concerning with large-scale computing.
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Linear algebra C++ library built upon a tensor class template that can be used to represent tensors of ranks 0 - scalaras, 1 - vectors, 2 - matrices, 3 - tensors of rank 3, etc. It also includes an interface to BLAS and LAPACK subroutines.
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This is a C++ Matrix class optimized for memory before speed. It enables handling huge matrices, and can link with LAPACK.
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Boost.uBLASx
Extension to Boost-uBLAS
uBLASx is a C++ template class library built upon Boost.uBLAS which provides additional functionalities for linear algebra. Unlike Boost.uBLAS, it makes use of other third-party libraries, such as Boost.NumericBindings and LAPACK. Now hosted by GitHub: https://github.com/sguazt/boost-ublasx -
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golib
C++ collection mostly for image processing
libGo is a C++ class library containing all kinds of things that proved useful to me. Included are: - Linear algebra, using LAPACK and CBLAS - V4L(1) image grabber - Multithreading - Image containers (up to 3D) - Some simple optimisation code - Python embedding helper - Matlab interface - .. and other things, have a look at the HTML documentation! golib grew over many years, things I had use for have been added now and then. Some parts are better taken care of than others. ...
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