Markus Grasmair

Computational Mechanics · 2008–2011

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 23 citations into it; #6,341 of 10,001 by trust here, #6,287 by citations
• Mathematical Physics — 13 citations into it; #4,667 of 8,562 by trust here, #1,130 by citations
• Computer Vision and Pattern Recognition — 10 citations into it; #14,286 of 21,575 by trust here, #18,266 by citations
• Computational Theory and Mathematics — 5 citations into it

Whom Markus Grasmair trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. E.J. Candes
2. David L. Donoho
3. Dirk A. Lorenz
4. Joel A. Tropp
5. Kristian Bredies
6. Ingrid Daubechies
7. Otmar Scherzer
8. Terence Tao
9. Justin K. Romberg
10. Elena Resmerita

Who trusts Markus Grasmair overall

1. Bangti Jin
2. Peter Maass
3. Otmar Scherzer
4. Kristian Bredies
5. Markus Haltmeier
6. Alexander V. Kiselev
7. Lars Ruthotto
8. Heikki Hakkarainen
9. Housen Li
10. Simon Robert Arridge

Papers from Markus Grasmair's perspective

Ordered by how strongly the researchers Markus Grasmair trusts endorse each paper. Same corpus, a different order for every researcher.

1. Decoding by linear programming
2. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
3. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
4. Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization
5. Stable recovery of sparse overcomplete representations in the presence of noise
6. Compressed sensing (IEEE Transactions on Information Theory)
7. Signal Recovery by Proximal Forward-Backward Splitting
8. Stable signal recovery from incomplete and inaccurate measurements
9. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
10. Regularization of ill-posed problems in Banach spaces: convergence rates

Their papers

• Variational Methods in Imaging (2008) — 602 citations
• Necessary and sufficient conditions for linear convergence of ℓ1‐regularization (2011) — 125 citations
• Weakly Differentiable Functions (2009) — 703 citations
• Sparse regularization with lq penalty term (2008) — 137 citations