Suchergebnisse - Key words. sparse matrix algorithms

Sparse Matrix Sparse Vector Multiplication - A Novel Approach von Shah, Monika

“… This raises need of designing an efficient SpMV. Researchers are putting their continuous effort to optimize SpMV that deal with wide class of sparse matrix patterns using various compressed storage formats, and algorithm for high performance …”
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Algorithms of parallel computations for linear algebra problems with irregularly structured matrices von Khimich, A. N., Popov, A. V., Polyankoa, V. V.

“… Parallel algorithms for direct methods of analysis and solution of linear algebra problems with sparse symmetric irregularly structured matrices are considered …”
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Solving Linear Systems of Equations with Block Skyscraper Structure von Sydoruk, Volodymyr, Chystiakov, Oleksii, Benner, Peter, Nikolaievska, Olena

“… This paper proposes an efficient parallel algorithm for solving systems of linear algebraic equations (SLAE …”
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GRiNCH: simultaneous smoothing and detection of topological units of genome organization from sparse chromatin contact count matrices with matrix factorization von Lee, Da-Inn, Roy, Sushmita

“… We present GRiNCH, a constrained matrix-factorization-based approach for simultaneous smoothing and discovery of TADs from sparse contact count matrices …”
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Methods of Sparse Measurement Matrix Optimization for Compressed Sensing von Yi, Renjie, Han, Shunan, Liu, Peng, Zhang, Bo, Liu, Hang

“… In compressed sensing (CS), a sparse measurement matrix with few nonzero entries is more competitive than a dense matrix in reducing the number of multiplication units …”
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Sparse data embedding and prediction by tropical matrix factorization von Omanović, Amra, Kazan, Hilal, Oblak, Polona, Curk, Tomaž

“… We propose a method called Sparse Tropical Matrix Factorization ( STMF ) for the estimation of missing (unknown …”
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CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structures von Sherman, Thomas D., Gao, Tiger, Fertig, Elana J.

“… Results We developed a new software framework for parallel matrix factorization in Version 3 of the CoGAPS R/Bioconductor package to overcome …”
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Exact Solution of Sparse Linear Systems via Left-Looking Roundoff-Error-Free LU Factorization in Time Proportional to Arithmetic Work von Lourenco, Christopher, Escobedo, Adolfo R., Moreno-Centeno, Erick, Davis, Timothy A.

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High-Dimensional Adaptive Sparse Polynomial Interpolation and Applications to Parametric PDEs von Chkifa, Abdellah, Cohen, Albert, Schwab, Christoph

“… In such applications there is a substantial advantage in considering polynomial spaces that are sparse and anisotropic with respect to the different parametric variables …”
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Dense versus Sparse Approaches for Estimating the Fundamental Matrix von Valgaerts, Levi, Bruhn, Andrés, Mainberger, Markus, Weickert, Joachim

“… : sparse local feature based approaches and dense global energy based methods. While sparse feature based methods are often used for estimating the fundamental matrix …”
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Stability and Instance Optimality for Gaussian Measurements in Compressed Sensing von Wojtaszczyk, P.

“… ). We also show that this numerically friendly algorithm (see Candes et al., Commun. Pure Appl. Math. 59:1207–1223, 2006 ) with overwhelming probability recovers …”
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Analysis of Sentiment on Movie Reviews Using Word Embedding Self-Attentive LSTM von Sivakumar, Soubraylu, Rajalakshmi, Ratnavel

“… Even though automated machine learning algorithms and techniques are available, and extraction of semantic and relevant key terms from a sparse representation of the review is difficult …”
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Determination of a Configuration for Sparse Matrix Phased Array Using Simulated Annealing for Imaging in Ultrasonic NDT von Dolmatov, D. O.

“… The use of sparse matrix phased arrays can increase the speed of 3D-imaging of the internal structure of objects in ultrasonic nondestructive testing using the Total Focusing Method …”
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Array optimization of sparse regularization equivalent source acoustic holography algorithm von Xia, Jing, Chen, Hantao, Guo, Wenyong, Han, Jianggui

“… In order to improve the accuracy of the sparse regularization equivalent source acoustic holography algorithm, based on the analysis of the holographic algorithm theory, an optimized array arrangement is proposed …”
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A new computational method for sparse optimal control of cyber-physical systems with varying delay von Lin, Sida, Yang, Dongyao, Yuan, Jinlong, Wu, Changzhi, Zhou, Tao, Li, An, Gu, Chuanye, Xie, Jun, Gao, Kuikui

“… Our goal was to obtain the optimal sparse feedback control matrix $ K $. For this, we proposed a sparse optimal control (SOC …”
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The application of sparse estimation of covariance matrix to quadratic discriminant analysis von Sun, Jiehuan, Zhao, Hongyu

“… Different versions of sparse LDA have been proposed to address this significant challenge …”
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Hybrid Algorithms for Solving the Algebraic Eigenvalue Problem with Sparse Matrices von Khimich, A. N., Popov, A. V., Chistyakov, O. V.

“… Hybrid algorithms for solving the partial generalized eigenvalue problem for symmetric positive definite sparse matrices of different structures by hybrid computers with graphic processors …”
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On Computing Inverse Entries of a Sparse Matrix in an Out-of-Core Environment von Amestoy, Patrick R., Duff, Iain S., L'Excellent, Jean-Yves, Robert, Yves, Rouet, François-Henry, Uçar, Bora

“… The inverse of an irreducible sparse matrix is structurally full, so that it is impractical to think of computing or storing …”
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A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios von Hutchinson, Brian, Ostendorf, Mari, Fazel, Maryam

“… matrices that learn exceptions (e.g., keywords). The low-rank matrices induce continuous-space representations of words and histories …”
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PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data von Lemsara, Amina, Ouadfel, Salima, Fröhlich, Holger

“… Results We propose a multi-modal sparse denoising autoencoder framework coupled with sparse non-negative matrix factorization to robustly cluster patients based on multi-omics data …”
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