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Books on the topic 'Sparse computation'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

George, Alan, John R. Gilbert, and Joseph W. H. Liu, eds. Graph Theory and Sparse Matrix Computation. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4613-8369-7.

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2

Alan, George, Gilbert J. R. 1953-, and Liu Joseph W. H, eds. Graph theory and sparse matrix computation. Springer-Verlag, 1993.

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3

Chang, Lijun, and Lu Qin. Cohesive Subgraph Computation over Large Sparse Graphs. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03599-0.

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4

Coleman, Thomas F. The efficient computation of sparse Jacobian matrices using automatic differentiation. Cornell Theory Center, Cornell University, 1995.

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5

Zlatev, Zahari. Computational Methods for General Sparse Matrices. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-017-1116-6.

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6

Zlatev, Zahari. Computational methods for general sparse matrices. Kluwer Academic, 1991.

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7

Zlatev, Zahari. Computational Methods for General Sparse Matrices. Springer Netherlands, 1991.

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8

Research Institute for Advanced Computer Science (U.S.), ed. SPARSKIT: A basic toolkit for sparse matrix computations. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1990.

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9

Soman, S. A., S. A. Khaparde, and Shubha Pandit. Computational Methods for Large Sparse Power Systems Analysis. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0823-6.

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10

Jenkin, Michael. Visual stereoscopic computation. University of Toronto, Dept. of Computer Science, 1988.

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11

Kandasamy, W. B. Vasantha. Fuzzy linguistic topological spaces. Zip Pub., 2012.

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12

Soman, S. A. Computational methods for large sparse power systems analysis: An object oriented approach. Kluwer Academic Publishers, 2002.

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13

Hackbusch, Wolfgang. Tensor Spaces and Numerical Tensor Calculus. Springer Berlin Heidelberg, 2012.

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14

Center, Ames Research, ed. Computation of viscous incompressible flows. National Aeronautics and Space Administration, Ames Research Center, 1989.

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15

Center, Langley Research, ed. A High angle of attack inviscid shuttle orbiter computation. National Aeronautics and Space Administration, Langley Research Center, 1992.

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16

Davis, Sanford S. Computation of the unsteady facilitated transport of oxygen in hemoglobin. National Aeronautics and Space Administration, Ames Research Center, 1990.

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17

United States. National Aeronautics and Space Administration., ed. Computation of H2/air reacting flowfields in drag-reduction external combustion. National Aeronautics and Space Administration, 1992.

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18

service), SpringerLink (Online, ed. Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance. Springer-Verlag Berlin Heidelberg, 2011.

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19

1955-, LeVeque Randall J., Steiner O. 1955-, Gautschy A. 1962-, and Schweizerische Gesellschaft für Astrophysik und Astronomie., eds. Computational methods for astrophysical fluid flow. Springer, 1998.

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20

Szuch, John R. Application of advanced computational technology to propulsion CFD. National Aeronautics and Space Administration, 1988.

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21

United States. National Aeronautics and Space Administration., ed. Final report for FNAS computational fluid dynamics. Consortium for Computational Fluid Dynamics, 1990.

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22

United States. National Aeronautics and Space Administration., ed. Final report for FNAS computational fluid dynamics. Consortium for Computational Fluid Dynamics, 1990.

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23

Chamis, C. C. Computational simulation for concurrent engineering of aerospace propulsion systems. National Aeronautics and Space Administration, 1992.

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24

N, Singhal Surendra, and United States. National Aeronautics and Space Administration., eds. Computational simulation for concurrent engineering of aerospace propulsion systems. National Aeronautics and Space Administration, 1992.

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25

D, Goodson Troy, Ledsinger Laura A, and United States. National Aeronautics and Space Administration., eds. Theory and computation of optimal low-and medium-thrust transfers. National Aeronautics and Space Administration, 1995.

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26

United States. National Aeronautics and Space Administration., ed. Theory and computation of optimal low- and medium-thrust transfers. National Aeronautics and Space Administration, 1994.

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27

D, Goodson Troy, Ledsinger Laura A, and United States. National Aeronautics and Space Administration., eds. Theory and computation of optimal low-and medium-thrust transfers. National Aeronautics and Space Administration, 1995.

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28

Gilbert, John R., Alan George, and Joseph W. H. Liu. Graph Theory and Sparse Matrix Computation. Springer, 2012.

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29

Gilbert, John R., and Joseph W. H. Liu. Graph Theory and Sparse Matrix Computation. Island Press, 1993.

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30

Graph Theory and Sparse Matrix Computation. Springer, 2011.

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31

Chang, Lijun, and Lu Qin. Cohesive Subgraph Computation over Large Sparse Graphs: Algorithms, Data Structures, and Programming Techniques. Springer, 2018.

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32

Bisseling, Rob H. Parallel Scientific Computation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198788348.001.0001.

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This book explains how to use the bulk synchronous parallel (BSP) model to design and implement parallel algorithms in the areas of scientific computing and big data. Furthermore, it presents a hybrid BSP approach towards new hardware developments such as hierarchical architectures with both shared and distributed memory. The book provides a full treatment of core problems in scientific computing and big data, starting from a high-level problem description, via a sequential solution algorithm to a parallel solution algorithm and an actual parallel program written in the communication library B

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33

Hansen, Per Christian. Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion (Monographs on Mathematical Modeling and Computation). Society for Industrial Mathematics, 1987.

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34

Bunch, James R., and Donald J. Rose. Sparse Matrix Computations. Elsevier Science & Technology Books, 2014.

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35

Arno C. N. van Duin. Parallel sparse matrix computations. Duin, 1998.

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36

Ellis, Graham. An Invitation to Computational Homotopy. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198832973.001.0001.

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This book is an introduction to elementary algebraic topology for students with an interest in computers and computer programming. Its aim is to illustrate how the basics of the subject can be implemented on a computer. The transition from basic theory to practical computation raises a range of non-trivial algorithmic issues and it is hoped that the treatment of these will also appeal to readers already familiar with basic theory who are interested in developing computational aspects. The book covers a subset of standard introductory material on fundamental groups, covering spaces, homology, c

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37

Zlatev, Zahari. Computational Methods for General Sparse Matrices. Springer, 2014.

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38

Alvanos, Paraskevas. Riemann-Roch Spaces and Computation. De Gruyter, Inc., 2015.

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39

Alvanos, Paraskevas. Riemann-Roch Spaces and Computation. de Gruyter GmbH, Walter, 2015.

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40

Alvanos, Paraskevas. Riemann-Roch Spaces and Computation. de Gruyter GmbH, Walter, 2016.

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41

Griebel, Michael, and Jochen Garcke. Sparse Grids and Applications. Springer, 2014.

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42

Computational Methods for Large Sparse Power Systems Analysis. Island Press, 2001.

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43

Shawe-Taylor, John, and Zakria Hussain. Computational Statistics and Machine Learning: A Sparse Approach. Wiley & Sons, Limited, John, 2015.

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44

Garcke, Jochen, Dirk Pflüger, and Dirk Pfluger. Sparse Grids and Applications - Munich 2012. Springer, 2016.

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45

Garcke, Jochen, and Dirk Pflüger. Sparse Grids and Applications - Munich 2012. Springer London, Limited, 2014.

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46

Sparse Grids and Applications - Munich 2012. Springer, 2014.

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47

Bevan, Andrew, and Mark Lake, eds. Computational Approaches to Archaeological Spaces. Routledge, 2016. http://dx.doi.org/10.4324/9781315431932.

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48

Computational Approaches to Archaeological Spaces. Taylor & Francis Group, 2013.

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49

Bevan, Andrew, and Mark Lake. Computational Approaches to Archaeological Spaces. Taylor & Francis Group, 2016.

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50

Bevan, Andrew, and Mark Lake. Computational Approaches to Archaeological Spaces. Taylor & Francis Group, 2016.

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