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The present collection of four lecture notes is the very first contribution of this type in the field of sparse recovery. Compressed sensing is one of the important facets of the broader concept presented in the book, which by now has made connections with other branches such as mathematical imaging, inverse problems, numerical analysis and simulation. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses.

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1. Ebooks list page : 20961
2. 2017-10-20[PDF] Theoretical Foundations and Numerical Methods for Sparse Recovery (Radon Series on Computational and Applied Mathematics)
3. 2011-05-27Theoretical Foundations and Numerical Methods for Sparse Recovery 1st Edition: Massimo Fornasier, Massimo Fornasier
4. 2020-03-22Tensor Numerical Methods in Scientific Computing (Radon Series on Computational and Applied Mathematics)
5. 2019-11-23Numerical Methods for Fractional Differentiation (Springer Series in Computational Mathematics)
6. 2011-12-20Computational Methods for Multiphase Flows in Porous Media (Computational Science and Engineering) by Zhangxin Chen
7. 2011-10-23Computational Methods for Multiphase Flows in Porous Media (Computational Science and Engineering)
8. 2011-10-06Inverse Problem Theory and Methods for Model Parameter Estimation
9. 2011-10-04Inverse Problem Theory and Methods for Model Parameter Estimation
10. 2011-08-13Direct Methods for Sparse Linear Systems (Fundamentals of Algorithms)
11. 2011-07-31Computational Methods for Multiphase Flows in Porous Media (Computational Science and Engineering)
12. 2012-08-07Numerical Methods in Scientific Computing: Volume 1
13. 2011-10-02Experimental Design for Formulation (ASA-SIAM Series on Statistics and Applied Probability)
14. 2012-09-24Numerical Methods for Ordinary Differential Equations: Initial Value Problems (Springer Undergraduate Mathematics Series)
15. 2012-09-01Numerical Methods for Ordinary Differential Equations: Initial Value Problems (Springer Undergraduate Mathematics Series)
16. 2012-01-27Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability) - Chaoqun Ma
17. 2012-01-24Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability) - Chaoqun Ma
18. 2011-12-26The Theory of Best Approximation and Functional Analysis (Regional Conference Series in Applied Mathematics - Vol 13)
19. 2011-12-18Perturbation Bounds for Matrix Eigenvalues (Classics in Applied Mathematics) by Rajendra Bhatia
20. 2011-12-04The Theory of Best Approximation and Functional Analysis (Regional Conference Series in Applied Mathematics - Vol 13)

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