Numerical linear algebra

Results: 2469



#Item
31Mathematical Optimization at BASF - A Quarter Century and More... Josef Kallrath BASF SE Scientific Computing GMC/MS-B009, 67056 Ludwigshafen, Germany e-mail:

Mathematical Optimization at BASF - A Quarter Century and More... Josef Kallrath BASF SE Scientific Computing GMC/MS-B009, 67056 Ludwigshafen, Germany e-mail:

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Source URL: or2015.univie.ac.at

Language: English - Date: 2015-07-09 02:41:35
32THE BETA-JACOBI MATRIX MODEL, THE CS DECOMPOSITION, AND GENERALIZED SINGULAR VALUE PROBLEMS ALAN EDELMAN AND BRIAN D. SUTTON  Abstract. We provide a solution to the β-Jacobi matrix model problem

THE BETA-JACOBI MATRIX MODEL, THE CS DECOMPOSITION, AND GENERALIZED SINGULAR VALUE PROBLEMS ALAN EDELMAN AND BRIAN D. SUTTON Abstract. We provide a solution to the β-Jacobi matrix model problem

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Source URL: faculty.rmc.edu

Language: English - Date: 2007-08-01 16:16:47
33Sparse Matrix-Matrix Multiplication: Applications, Algorithms, and Implementations Organizers: Grey Ballard and Alex Druinsky SIAM Conference on Applied Linear Algebra  October 26, 2015

Sparse Matrix-Matrix Multiplication: Applications, Algorithms, and Implementations Organizers: Grey Ballard and Alex Druinsky SIAM Conference on Applied Linear Algebra October 26, 2015

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Source URL: www.sandia.gov

Language: English - Date: 2015-12-15 18:34:11
34Seven at One Stroke: Results from a Cache-Oblivious ∗ Paradigm for Scalable Matrix Algorithms Michael D. Adams  David S. Wise

Seven at One Stroke: Results from a Cache-Oblivious ∗ Paradigm for Scalable Matrix Algorithms Michael D. Adams David S. Wise

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Source URL: michaeldadams.org

Language: English - Date: 2012-07-27 19:30:16
35Verified solutions of sparse linear systems Takeshi Ogita Division of Mathematical Sciences, Tokyo Woman’s Christian University 2–6–1 Zempukuji, Suginami-ku, Tokyo 167–8585, Japan

Verified solutions of sparse linear systems Takeshi Ogita Division of Mathematical Sciences, Tokyo Woman’s Christian University 2–6–1 Zempukuji, Suginami-ku, Tokyo 167–8585, Japan

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Source URL: conf.nsc.ru

Language: English - Date: 2012-05-30 00:24:49
36Curriculum Vitae Jose E. Roman D. Sistemes Inform` atics i Computaci´ o Universitat Polit`ecnica de Val`encia

Curriculum Vitae Jose E. Roman D. Sistemes Inform` atics i Computaci´ o Universitat Polit`ecnica de Val`encia

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Source URL: users.dsic.upv.es

Language: English - Date: 2016-07-09 06:46:12
37I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio

I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
38PSBLAS 2.4 & MLD2P4 1.2: Sparse Computations and Iterative Solvers on Parallel Computers  PSBLAS 2.4 &

PSBLAS 2.4 & MLD2P4 1.2: Sparse Computations and Iterative Solvers on Parallel Computers PSBLAS 2.4 &

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Source URL: people.uniroma2.it

Language: English - Date: 2014-10-09 08:41:31
39EE103/CME103: Introduction to Matrix Methods OctoberS. Boyd  Midterm Exam

EE103/CME103: Introduction to Matrix Methods OctoberS. Boyd Midterm Exam

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Source URL: stanford.edu

Language: English - Date: 2015-10-22 14:39:52
40Assignment 4 Randomization in Numerical Linear Algebra (PCMI) 1. We will prove a structural inequality that can be used as a starting point in many RandNLA algorithms. More specifically, we will prove the following lemma

Assignment 4 Randomization in Numerical Linear Algebra (PCMI) 1. We will prove a structural inequality that can be used as a starting point in many RandNLA algorithms. More specifically, we will prove the following lemma

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Source URL: www.drineas.org

Language: English - Date: 2016-07-02 06:19:59