Jeff T. Linderoth

Numerical Analysis · 1999–2021

A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Numerical Analysis — 35 citations into it
• Computational Theory and Mathematics — 32 citations into it
• Control and Systems Engineering — 22 citations into it; #1,169 of 8,257 by trust here, #1,875 by citations
• Industrial and Manufacturing Engineering — 19 citations into it
• Computer Networks and Communications — 14 citations into it
• Electrical and Electronic Engineering — 7 citations into it
• Management Science and Operations Research — 7 citations into it; #1,963 of 11,946 by trust here, #3,457 by citations
• Optimization & Training — 5 citations into it

Whom Jeff T. Linderoth trusts overall

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

1. Tobias Achterberg
2. Matteo Fischetti
3. Christodoulos A. Floudas
4. D. Bienstock
5. George L. Nemhauser
6. Timo Berthold
7. Emilie Danna
8. Andrea Lodi
9. Ignacio E. Grossmann
10. S. Burer

Who trusts Jeff T. Linderoth overall

1. Guanghui Lan
2. Andrea Lodi
3. Alexander Shapiro
4. Pierre Bonami
5. Arkadi Nemirovski
6. Jagat Patel
7. Tito Homem-de-Mello
8. James R. Luedtke
9. F. Kılınç-Karzan
10. Michal Kaut

Papers from Jeff T. Linderoth's perspective

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

1. Branching rules revisited
2. Global optimization of mixed-integer nonlinear programs: A theoretical and computational study (Mathematical programming)
3. SCIP: solving constraint integer programs (Mathematical Programming Computation)
4. Branching and bounds tighteningtechniques for non-convex MINLP (Optim. Methods Softw.)
5. Exploring relaxation induced neighborhoods to improve MIP solutions (Mathematical programming)
6. Constraint integer programming
7. Et al
8. Disjunctive Programming (Encyclopedia of Optimization)
9. Benchmarking optimization software with performance profiles
10. Primal Heuristics for Mixed Integer Programs

Their papers

• The empirical behavior of sampling methods for stochastic programming (2006) — 488 citations
• Mixed-integer nonlinear optimization*† (2013) — 764 citations
• MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library (2021) — 308 citations
• Algorithms and Software for Convex Mixed Integer Nonlinear Programs (2012) — 311 citations
• An enabling framework for master-worker applications on the Computational Grid (2000) — 301 citations
• A Computational Study of Search Strategies for Mixed Integer Programming (1999)