Books on the topic 'Sparse data'

M, Erisman A., and Reid John Ker, eds. Direct methods for sparse matrices. Oxford [Oxfordshire]: Clarendon Press, 1986.

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

Naik, Vijay K. Data traffic reduction schemes for sparse Cholesky factorizations. Hampton, Va: ICASE, 1988.

Liegmann, Arno. Efficient solution of large sparse linear systems. Kontanz: Hartung-Gorre Verlag, 1995.

Research Institute for Advanced Computer Science (U.S.), ed. A class of designs for a sparse distributed memory. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.

Vanhonacker, Wilfried R. "Combining related and sparse data in linear regression models". Fontainbleau: INSEAD, 1986.

Vanhonacker, Wilfried R. "Combining related and sparse data in linear regression models". Fontainbleau: INSEAD, 1986.

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

Research Institute for Advanced Computer Science (U.S.), ed. An alternative design for a sparse distributed memory. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.

Gary, Kumfert, Pothen Alex, and Institute for Computer Applications in Science and Engineering., eds. Object-oriented design for sparse direct solvers. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.

Gary, Kumfert, Pothen Alex, and Institute for Computer Applications in Science and Engineering., eds. Object-oriented design for sparse direct solvers. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.

Gary, Kumfert, Pothen Alex, and Institute for Computer Applications in Science and Engineering., eds. Object-oriented design for sparse direct solvers. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.

Gary, Kumfert, Pothen Alex, and Institute for Computer Applications in Science and Engineering., eds. Object-oriented design for sparse direct solvers. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.

Rogers, David. Using data tagging to improve the performance of Kanerva's sparse distributed memory. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1988.

Mächler, Patrick. VLSI architectures for compressive sensing and sparse signal recovery. Konstanz: Hartung-Gorre Verlag, 2013.

Gary, Kumfert, Pothen Alex, and Langley Research Center, eds. The design of sparse direct solvers using object-oriented techniques. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.

Zhang, Wenfei. Regression based principal component analysis for sparse functional data with applications to screening pubertal growth paths. [New York, N.Y.?]: [publisher not identified], 2012.

J, Evans David, and Meeting on the Advanced Research Topic "Sparsity and Its Applications" (1983 : University of Technology, Loughborough, England), eds. Sparsity and its applications. Cambridge [Cambridgeshire]: Cambridge University Press, 1985.

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

Rothberg, Edward. Parallel ICCG on a hierarchical memory multiprocessor: Addressing the triangular solve bottleneck. Stanford, California: Dept. of Computer Science, Stanford University, 1990.

Curry, Edward, Simon Scerri, and Tuomo Tuikka, eds. Data Spaces. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98636-0.

Yilmaz, Koray K. New approaches to hydrological prediction in data-sparse regions: Proceedings of symposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH) held in Hyderabad, India, 6-12 September 2009. Oxfordshire, UK: IAHS Press, 2009.

Otto, Boris, Michael ten Hompel, and Stefan Wrobel, eds. Designing Data Spaces. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93975-5.

Hazeldine, Lee, Gary Hazeldine, and Christian Beighton. Analysing Multimodal Data in Complex Social Spaces. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526488282.

1968-, Snowdon David N., Churchill Elizabeth F. 1962-, and Frécon Emmanuel, eds. Inhabited information spaces: Living with your data. London: Springer, 2004.

service), SpringerLink (Online, ed. Understanding High-Dimensional Spaces. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Lyndon B. Johnson Space Center., ed. Space Station Freedom (SSF) data management system (DMS) performance model data base. Houston, Tex: The Center, 1993.

Abell, John B. Data and data processing issues in the estimation of requirements for aircraft recoverable spares and depot repair. Santa Monica, CA: Rand, 1993.

Pushkin, Aleksandr Sergeevich. Pikovaia dama =: The queen of spades. Oxford: Blackwell, 1985.

Pushkin, Aleksandr Sergeevich. Pikovaia dama =: The queen of spades. London: Bristol Classical Press, 1992.

Weiland, Claus. Aerodynamic data of space vehicles. Heidelberg: Springer, 2014.

United States. National Aeronautics and Space Administration., ed. GEOTAIL spacecraft historical data report. [Washington, DC: National Aeronautics and Space Administration, 1993.

Goddard Space Flight Center. Spacelab Data Processing Facility: Users' guide. Greenbelt, Md: Goddard Space Flight Center, 1985.

Goddard Space Flight Center. Spacelab Data Processing Facility: Users' guide. Greenbelt, Md: Goddard Space Flight Center, 1985.

Center, Goddard Space Flight, ed. Satellite Data Utilization Office. Greenbelt, MD: NASA Goddard Space Flight Center, 1993.

author, Varnelis Kazys, ed. Modulated cities: Networked spaces, reconstituted subjects. New York, NY: The Architectural League of New York, 2012.

Garcia-Arellano, Christian M. Quantization techniques for similarity search in high-dimensional data spaces. Ottawa: National Library of Canada, 2002.

1939-, King Joseph H., and World Data Center A for Rockets and Satellites., eds. NSSDC data listing. Greenbelt, Md: National Space Science Data Center, World Data Center A for Rockets and Satellites, National Aeronautics and Space Administration, Goddard Space Flight Center, 1993.

Uchūhō dēta bukku: Space law data book. 3rd ed. [Tōkyō-to Chōfu-shi]: Uchū Kōkū Kenkyū Kaihatsu Kikō Sōmubu Hōmuka, 2011.

Pissanetzky, Sergio. Sparse Matrix Technology. Elsevier Science & Technology Books, 2014.

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

Rish, Irina, Guillermo A. Cecchi, and Aurelie Lozano. Practical Applications of Sparse Modeling. MIT Press, 2014.

Rish, Irina, Guillermo A. Cecchi, and Aurelie Lozano. Practical Applications of Sparse Modeling. MIT Press, 2014.

Practical Applications of Sparse Modeling. MIT Press, 2014.

Rish, Irina, Guillermo A. Cecchi, and Aurelie Lozano. Practical Applications of Sparse Modeling. MIT Press, 2014.

Rish, Irina, and Genady Ya Grabarnik. Sparse Modeling. Taylor & Francis Group, 2020.

Rish, Irina, and Genady Grabarnik. Sparse Modeling. Taylor & Francis Group, 2014.

Direct Methods for Sparse Matrices (Monographs on Numerical Analysis). Oxford University Press, USA, 1989.

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

James, Gareth. Sparseness and functional data analysis. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.11.