Explore Books on
sparse matrices

Sparse image and signal processing

By Jean-Luc Starck,Fionn Murtagh,Jalal M. Fadili

Iterative solution of large sparse systems of equations

By Wolfgang Hackbusch

Sparse Modeling

By Irina Rish,Genady Grabarnik

Computational methods for large sparse power systems analysis

By S. A. Soman,S.A. Soman,S.A. Khaparde,Shubha Pandit

Rank-deficient and discrete ill-posed problems

By Per Christian Hansen

Statistical Learning with Sparsity

By Trevor Hastie,Robert Tibshirani,Martin Wainwright

Graph theory and sparse matrix computation

By Alan George,J. R. Gilbert

Practical Applications of Sparse Modeling

By Irina Rish

Theoretical foundations and numerical methods for sparse recovery

By Massimo Fornasier

NIST sparse BLAS user's guide

By Roldan Pozo

Algorithms for large scale linear algebraic systems

By E. Spedicato

Modern algorithms for large sparse eigenvalue problems

By Arnd Meyer

Sparse matrix technology

By Sergio Pissanetzky

Oracle inequalities in empirical risk minimization and sparse recovery problems

By Vladimir Koltchinskii

Sparsity

By A. Brameller

Iterative methods for sparse linear systems

By Y. Saad

Sparse matrices and their uses

By IMA Numerical Analysis Group. Conference

Parallel processing for scientific computing

By Makoto Natori,T. Nodera,Keiō Gijuku Daigaku

Effects of partitioning and scheduling sparse matrix factorization on communication and load balance

By Sesh Venugopal

Sparse matrix methods research using the CSM Testbed software system

By Eleanor Chu

Highly parallel sparse Cholesky factorization

By J. R. Gilbert

Sparse matrices of high order

By Nexhat Mersini

Sparsity and its applications

By Evans, David J.

Large sparse numerical optimization

By Thomas F. Coleman