Jakob Heide Jørgensen

Computational Mechanics · 2011

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jakob Heide Jørgensen trusts overall

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

  1. Patrick L. Combettes
  2. Amir Beck
  3. Tony F. Chan
  4. Stephen Becker
  5. E.J. Candes
  6. Junguo Bian

Who trusts Jakob Heide Jørgensen overall

  1. Jonas Adler

Papers from Jakob Heide Jørgensen's perspective

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

  1. An Introduction To Compressive Sampling
  2. A proximal decomposition method for solving convex variational inverse problems
  3. I and J
  4. Aspects of Total Variation Regularized L[sup 1] Function Approximation (SIAM Journal on Applied Mathematics)
  5. Convex Optimization
  6. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems (IEEE Transactions on Image Processing)
  7. Templates for convex cone problems with applications to sparse signal recovery (Mathematical Programming Computation)
  8. Diagonal preconditioning for first order primal-dual algorithms in convex optimization (Vision)
  9. Foundations of Image Science
  10. Evaluation of Sparse-view Reconstruction from Flat-panel-detector Cone-beam CT (Physics in Medicine and Biology)

Their papers