Search Results - "Sparse matrix software"

Towards sparse matrix operations: graph database approach for power grid computation.

Authors: Daoxing Li Kai Xiao Xiaohui Wang et al.

Source: Global Energy Interconnection. Feb2023, Vol. 6 Issue 1, p50-63. 14p.

Solving Large Sparse Nonlinear Programs Using GRG.

Authors: Smith, Stuart Lasdon, Leon

Source: ORSA Journal on Computing. Winter92, Vol. 4 Issue 1, p2. 14p.

Textile fabric defect detection based on low-rank representation.

Authors: Shen, Xubang Li, Peng Zhao, Minghua et al.

Source: Multimedia Tools & Applications. Jan2019, Vol. 78 Issue 1, p99-124. 26p.

Subjects: Eigenvalues, Sparse matrix software, Singular value decomposition, Composite materials, Integrated circuits

Explicit Fourth-Order Runge-Kutta Method on Intel Xeon Phi Coprocessor.

Authors: Bylina, Beata Potiopa, Joanna

Source: International Journal of Parallel Programming. Oct2017, Vol. 45 Issue 5, p1073-1090. 18p.

Subjects: Sparse matrices, Sparse matrix software, Multiprocessors, Markovian jump linear systems, Euler method, Vector algebra

Sparsity estimation based adaptive matching pursuit algorithm.

Authors: Yao, Shihong Wang, Tao Chong, Yanwen et al.

Source: Multimedia Tools & Applications. Feb2018, Vol. 77 Issue 4, p4095-4112. 18p.

Subjects: Image reconstruction algorithms, Sparse matrix software, Signal reconstruction, Restricted isometry property, Robust convex optimization

Ternary Sparse Matrix Representation for Volumetric Mesh Subdivision and Processing on GPUs.

Authors: Mueller‐Roemer, J. S. Altenhofen, C. Stork, A.

Source: Computer Graphics Forum. Aug2017, Vol. 36 Issue 5, p59-69. 11p.

Subjects: Sparse matrix software, Volumetric analysis, Graphics processing units, Mesh networks, Ternary system

BANDWIDTH REDUCTION ON SPARSE MATRICES BY INTRODUCING NEW VARIABLES.

Alternate Title: REDUCCIÓN DEL ANCHO DE BANDA DE MATRICES DISPERSAS MEDIANTE LA INTRODUCCIÓN DE NUEVAS VARIABLES.

Authors: Glüge, Rainer¹ gluege@ovgu.de

Source: INGENIARE - Revista Chilena de Ingeniería. 2010, Vol. 18 Issue 3, p395-400. 6p. 1 Diagram, 1 Chart.

Subjects: Sparse matrix software, Finite element method, Mathematical optimization, Linear systems, Asymptotic homogenization

Sparse conjugate directions pursuit with application to fixed-size kernel models.

Authors: Karsmakers, Peter Pelckmans, Kristiaan Brabanter, Kris et al.

Source: Machine Learning. Oct2011, Vol. 85 Issue 1-2, p109-148. 40p.

Subjects: Sparse matrix software, Machine learning, Linear systems, Algorithms, Support vector machines

A Library for Pattern-based Sparse Matrix Vector Multiply.

Authors: Belgin, Mehmet Back, Godmar Ribbens, Calvin J.

Source: International Journal of Parallel Programming. Feb2011, Vol. 39 Issue 1, p62-87. 26p. 7 Diagrams, 8 Charts, 5 Graphs.

Subjects: Sparse matrix software, Kernel functions, Bandwidths, Data transmission systems, Central processing units, Computer storage devices

Factorized Sparse Approximate Inverses for Preconditioning.

Authors: Huckle, Thomas¹ huckle@in.tum.de

Source: Journal of Supercomputing. Jun2003, Vol. 25 Issue 2, p109-117. 9p.

Subjects: Sparse matrix software, Sparse matrices, Matrices (Mathematics), Algorithms

Computing non-negative tensor factorizations.

Authors: Friedlander, MichaelP. Hatz, Kathrin

Source: Optimization Methods & Software. Aug2008, Vol. 23 Issue 4, p631-647. 17p. 1 Black and White Photograph, 1 Chart.

Subjects: Least squares software, Sparse matrix software, Factorization, Mathematical optimization, Mathematical analysis

Covariance selection for nonchordal graphs via chordal embedding.

Authors: Dahl, Joachim Vandenberghe, Lieven Roychowdhury, Vwani

Source: Optimization Methods & Software. Aug2008, Vol. 23 Issue 4, p501-520. 20p. 5 Diagrams, 3 Charts.

Subjects: Sparse matrix software, Mathematical optimization, Mathematical analysis, Embeddings (Mathematics), Analysis of covariance

Computing and analyzing recoverable supports for sparse reconstruction.

Authors: Kruschel, Christian Lorenz, Dirk

Source: Advances in Computational Mathematics. Dec2015, Vol. 41 Issue 6, p1119-1144. 26p.

A block active set algorithm for large-scale quadratic programming with box constraints.

Authors: Fernandes, L. Fischer, A. Júdice, J. et al.

Source: Annals of Operations Research. 1998, Vol. 81 Issue 1-4, p75-95. 21p. 4 Charts.

Subjects: Computer software, Sparse matrix software, Quadratic programming, Nonlinear programming, Algorithms, Mathematical programming, Mathematical analysis, Operations research

AN OBJECT-ORIENTED APPROACH TO THE DESIGN OF A USER INTERFACE FOR A SPARSE MATRIX PACKAGE.

Authors: George, Alan Liu, Joseph

Source: SIAM Journal on Matrix Analysis & Applications. 1999, Vol. 20 Issue 4, p953-969. 17p.

Subjects: Sparse matrix software, Computer software, Object-oriented programming, User interfaces, Systems design, Mathematical programming

Storing a Sparse Table.

Authors: Tarjan, Robert Endre Yao, Andrew Chi-Chih Graham, S.L.

Source: Communications of the ACM. Nov79, Vol. 22 Issue 11, p606-611. 6p. 4 Diagrams.

Subjects: Sparse matrix software, Computer systems

Geographic Terms: United States

Algorithm 408 A Sparse Matrix Package (Part I) [F4].

Authors: McNamee, John Michael

Source: Communications of the ACM. Apr1971, Vol. 14 Issue 4, p265-273. 9p.

Subjects: Sparse matrix software, Programming languages

HYBRID-PARALLEL SPARSE MATRIX-VECTOR MULTIPLICATION WITH EXPLICIT COMMUNICATION OVERLAP ON CURRENT MULTICORE-BASED SYSTEMS.

Authors: SCHUBERT, GERALD FEHSKE, HOLGER HAGER, GEORG et al.

Source: Parallel Processing Letters. Sep2011, Vol. 21 Issue 3, p339-358. 20p. 2 Diagrams, 8 Graphs.

Robust synchronization in SO(3) and SE(3) via low-rank and sparse matrix decomposition.

Authors: Arrigoni, Federica Rossi, Beatrice Fragneto, Pasqualina et al.

Source: Computer Vision & Image Understanding. Sep2018, Vol. 174, p95-113. 19p.

Subjects: Sparse matrix software, Synchronization software, Algorithms, Outlier detection, Decomposition method

Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection.

Authors: Yuan, Haoliang Li, Junyu Lai, Loi Lei et al.

Source: Pattern Recognition. May2019, Vol. 89, p119-133. 15p.

Subjects: Sparse matrix software, Spectrum analysis, Matrix analytic methods, Labels, Classification