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24 - Dense Kernel Matrices

from Part V - Applications, Developments, and Open Problems

Published online by Cambridge University Press:  10 October 2019

Houman Owhadi
Affiliation:
California Institute of Technology
Clint Scovel
Affiliation:
California Institute of Technology
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Summary

This chapter reviews and summarizesapplications of gamblets to the compression, inversion, and approximate PCA of dense kernel matrices.

Type
Chapter
Information
Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization
From a Game Theoretic Approach to Numerical Approximation and Algorithm Design
, pp. 421 - 426
Publisher: Cambridge University Press
Print publication year: 2019

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  • Dense Kernel Matrices
  • Houman Owhadi, California Institute of Technology, Clint Scovel, California Institute of Technology
  • Book: Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization
  • Online publication: 10 October 2019
  • Chapter DOI: https://doi.org/10.1017/9781108594967.031
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  • Dense Kernel Matrices
  • Houman Owhadi, California Institute of Technology, Clint Scovel, California Institute of Technology
  • Book: Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization
  • Online publication: 10 October 2019
  • Chapter DOI: https://doi.org/10.1017/9781108594967.031
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Dense Kernel Matrices
  • Houman Owhadi, California Institute of Technology, Clint Scovel, California Institute of Technology
  • Book: Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization
  • Online publication: 10 October 2019
  • Chapter DOI: https://doi.org/10.1017/9781108594967.031
Available formats
×