Pietro Belotti

Numerical Analysis · 2009–2016

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Numerical Analysis — 35 citations into it; #2,294 of 3,586 by trust here, #561 by citations
• Computational Theory and Mathematics — 27 citations into it; #8,027 of 12,182 by trust here, #2,851 by citations
• Control and Systems Engineering — 25 citations into it; #6,071 of 8,257 by trust here, #4,262 by citations
• Artificial Intelligence — 13 citations into it
• Industrial and Manufacturing Engineering — 11 citations into it
• Computer Networks and Communications — 10 citations into it

Whom Pietro Belotti trusts overall

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

1. Mohit Tawarmalani
2. Ignacio E. Grossmann
3. Nikolaos V. Sahinidis
4. Karla L. Hoffman
5. Hanif D. Sherali
6. Erling D. Andersen
7. Tobias Achterberg
8. S. Burer
9. David E. Goldberg
10. J. Paul Brooks

Who trusts Pietro Belotti overall

1. Ruth Misener
2. Christodoulos A. Floudas
3. Pierre Bonami
4. Ricardo Fukasawa
5. Sumit K. Rathor
6. Jan Kronqvist
7. Anton Pichler
8. Alexey Ignatiev
9. Ricardo M. Lima
10. Matteo Fischetti

Papers from Pietro Belotti's perspective

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

1. Global optimization of mixed-integer nonlinear programs: A theoretical and computational study (Mathematical programming)
2. Branching rules revisited
3. Benchmarking optimization software with performance profiles
4. The Cutting-Plane Method for Solving Convex Programs
5. Branching and bounds tighteningtechniques for non-convex MINLP (Optim. Methods Softw.)
6. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
7. Exploring relaxation induced neighborhoods to improve MIP solutions (Mathematical programming)
8. GAMS -- A User's Guide
9. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
10. Computational study of a family of mixed-integer quadratic programming problems

Their papers

• Branching and bounds tighteningtechniques for non-convex MINLP (2009) — 704 citations
• On handling indicator constraints in mixed integer programming (2016) — 113 citations
• Mixed-integer nonlinear optimization*† (2013) — 764 citations
• A Conic Representation of the Convex Hull of Disjunctive Sets and Conic Cuts for Integer Second Order Cone Optimization (2015) — 62 citations