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pardiso-project.org

PARDISO 6.1.0 Solver Project (January 2018)

PARDISO, sparse linear solver, sparse direct solver, Optimization, High-Performance Computing

http://www.pardiso-project.org/

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PARDISO 6.1.0 Solver Project (January 2018) | pardiso-project.org Reviews
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PARDISO, sparse linear solver, sparse direct solver, Optimization, High-Performance Computing
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PARDISO 6.1.0 Solver Project (January 2018) | pardiso-project.org Reviews

https://pardiso-project.org

PARDISO, sparse linear solver, sparse direct solver, Optimization, High-Performance Computing

LINKS TO THIS WEBSITE

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More Links | CalculiX по-русски

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BConverged CalculiX for Windows. CalculiX 2.5 for Windows on SF.NET. Blog About CalculiXForWin and Calculix Launcher. Yahoo Group about CalculiX. Impact Finite Element Program. Building calculix ccx from source on windows. Building calculix to run native on 64 bit windows. Fatigue Analysis on the Web. Http:/ www.libremechanics.com/? Not completely correct better to use quadratic elements) CGX Post-Processing Tips:. Http:/ www.youtube.com/user/calculix09/videos. PARDISO 5.0.0 Solver Project. Smath Studio ...

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infex - Infinite Exemplar Unsupervised Learning

http://www.nowozin.net/sebastian/infex

A Decoupled Approach to Exemplar-based Unsupervised Learning. This page contains Matlab source code and data sets related to the International Conference on Machine Learning 2008. Publication A Decoupled Approach to Exemplar-based Unsupervised Learning. The materials are made available under an open-source license in order to foster the discussion and adoption of this and related approaches. The distributed source code can perform the following functions:. Mode finding: meanshift, annealed meanshift.

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Cloth Simulation - Potential Motion

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Cloth simulation with various methods such as implicit integration with stiff springs or continuum style approach (. Also I implemented constraint-based inextensible cloth based on this paper. The fast project method in that paper uses a direct solver (. But I implemented a new iterative approach for a better performance and convergence. I am currently working on writing it. Cloth simulation uses continuous collision detection using qubic equation solver and proximity based impulses based on this paper.

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株式会社アークブレイン:インテル MKL (Math Kernel Library)

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QPSOL – A Quadratic Programming Solver | WORHP

http://www.worhp.de/content/qpsol

Large-scale Sparse Nonlinear Optimization. QPSOL A Quadratic Programming Solver. QPSOL offers two different methods:. Primal-dual interior point solver with Mehrotra predictor corrector step based on the paper "Object-oriented software for quadratic programming", ACM Transactions on Mathematical Software (TOMS), Volume 29 (1), 2003, by E. M. Gertz and S. J. Wright. Globalized nonsmooth Newton method. For each method several user options exist:. A constraint regularization mode is available. The developme...

daetools.com daetools.com

1. Introduction — DAE Tools Project Official Website

http://www.daetools.com/docs/introduction.html

DAE Tools Project Official Website. 11 About DAE Tools. Is a cross-platform equation-based and object-oriented process modelling and optimization software. It is not a modelling language nor a collection of numerical libraries but rather a higher level structure an architectural design of interdependent software components providing an API for:. Activities on developed models, such as simulation, optimization, and parameter estimation. Code generation, co-simulation and model exchange. An Equation-Orient...

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4. Getting DAE Tools — DAE Tools Project Official Website

http://www.daetools.com/docs/getting_daetools.html

DAE Tools Project Official Website. 4 Getting DAE Tools. PyDAE module) is installed in. Folder under python. The structure of the folders is the following:. GNU/Linux (i686, x86 64, arm). Windows (32 bit and 32 bit version of DAE Tools on 64 bit). MacOS (x86, x86 64). The software works on both python 2 and 3. The binaries are provided for 2.7 and 3.4. Python (2.x, 3.x): http:/ www.python.org. Http:/ numpy.scipy.org. Http:/ www.scipy.org. Http:/ matplotlib.sourceforge.net. 42 Getting the packages. If the...

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Espreso CPU | IT4I Espreso

http://espreso.it4i.cz/espresosolver/espreso-h

Fast Solver for HPC users. The main focus of the CPU version is development of an MPI based communication layer designed particularly for FETI that enables the scalability of the solver. It is not just an MPI code but, as many modern parallel applications, it uses the hybrid parallelization. The three levels of parallelization are message passing, threading using Cilk and vectorization using Intel MKL and Cilk . The main advantage of Hybrid FETI is significant reduction of the preprocessing time for larg...

pspike-project.org pspike-project.org

PSPIKE

http://www.pspike-project.org/mnl

Libraries, Manual, and Examples. Manual and Examples 1.0.0. A draft of the PSPIKE User Guide 1.0.0. Is available. All feedback is welcome. These examples are for the latest PSPIKE version. You can request the latest PSPIKE Version 1.0.0 at the download form. Fortran example for unsymmetric linear systems: pspike unsym.f90. PetSc example for unsymmetric linear systems: petsc pspike.tar.gz. Download following software libraries and link them together with the PSPIKE library. Links for downloading fast BLAS.

matrixprogramming.com matrixprogramming.com

Class MUMPS and PARDISO | Matrix Programming

http://matrixprogramming.com/2011/07/class-mumps-and-pardiso

Mumps Solver for Visual Studio. Compiling MUMPS 4.10.0 Large Memory on Windows. A parallel version of run mums. Compiling MUMPS 4.10.0 with WinMumps using Visual Studio 2008 and Intel. Sample driver to run a sparse solver. Gluing all together: LinearSolver: create. Class MUMPS and PARDISO. Sample code in C to run MUMPS. Sample code in C to run TAUCS. Class MUMPS and PARDISO. July 13, 2011 by Evgenii Rudnyi. Middot; Comments Off on Class MUMPS and PARDISO. Filed under: Sparse Matrices. But such a solution...

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PARDISO 6.1.0 Solver Project (January 2018)

PARDISO 6.1.0 Solver Project (January 2018). Is a thread-safe, high-performance, robust, memory efficient and easy to use software for solving large sparse symmetric and unsymmetric linear systems of equations on shared-memory and distributed-memory multiprocessors. On SMPs and Cluster of SMPs. Automatic combination of iterative and direct solver algorithms. Cosmin G. Petra, Olaf Schenk, and Mihai Anitescu. Real-time stochastic optimization of complex energy systems on high-performance computers. Advance...

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