Rohollah Garmanjani

Numerical Analysis · 2013

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Numerical Analysis — 12 citations into it; #2,256 of 3,586 by trust here, #3,057 by citations
• Computational Theory and Mathematics — 10 citations into it
• Artificial Intelligence — 7 citations into it
• Computational Mechanics — 5 citations into it; #6,422 of 10,001 by trust here, #9,276 by citations

Whom Rohollah Garmanjani trusts overall

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

1. Yurii E. Nesterov
2. Luís Nunes Vicente
3. N. Gould
4. Coralia Cartis
5. Jorge J. Moré
6. Luis Miguel Rios
7. Philippe L. Toint
8. Serge Gratton
9. Tamara G. Kolda
10. James V. Burke

Who trusts Rohollah Garmanjani overall

1. Xiaojun Chen
2. Luís Nunes Vicente

Papers from Rohollah Garmanjani's perspective

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

1. Introduction to derivative-free optimization
2. Cubic regularization of Newton method and its global performance
3. Benchmarking optimization software with performance profiles
4. Worst case complexity of direct search
5. On the Complexity of Steepest Descent, Newton's and Regularized Newton's Methods for Nonconvex Unconstrained Optimization Problems
6. Mesh Adaptive Direct Search Algorithms for Constrained Optimization
7. Benchmarking Derivative-Free Optimization Algorithms (SIAM Journal on Optimization)
8. Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods
9. CUTEr and SifDec: A constrained and unconstrained testing environment, revisited (TOMS)
10. A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization

Their papers

• Smoothing and worst-case complexity for direct-search methods in nonsmooth optimization (2013) — 54 citations