World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
5777
World Ranking
13448
National Ranking
5378

Mathematics

D-Index
30
Citations
5635
World Ranking
3449
National Ranking
1342

Overview

Samuel Burer is affiliated with the University of Iowa in the United States. Their research primarily spans fields of Computer Science, Mathematics, and Engineering. Within these fields, their work focuses on subfields including Numerical Analysis, Computational Theory and Mathematics, Artificial Intelligence, Control and Systems Engineering, and Electrical and Electronic Engineering.

The core topics addressed in Samuel Burer's research involve Advanced Optimization Algorithms Research, Matrix Theory and Algorithms, Optimization and Variational Analysis, Complexity and Algorithms in Graphs, Sparse and Compressive Sensing Techniques, Probabilistic and Robust Engineering Design, and Machine Learning and Algorithms.

Samuel Burer has contributed publications to frequent venues such as arXiv (Cornell University), Mathematical Programming, Journal of Optimization Theory and Applications, Journal of Global Optimization, and SIAM Journal on Matrix Analysis and Applications.

Their recent papers include:

  • "Quadratic optimization with switching variables: the convex hull for n=2" (2021, Mathematical Programming)
  • "Strengthened SDP relaxation for an extended trust region subproblem with an application to optimal power flow" (2022, Mathematical Programming)
  • "A slightly lifted convex relaxation for nonconvex quadratic programming with ball constraints" (2024, Mathematical Programming)
  • "Correction to: Exact semidefinite formulations for a class of (random and non-random) nonconvex quadratic programs" (2021, Mathematical Programming)
  • "A Strengthened SDP Relaxation for Quadratic Optimization Over the Stiefel Manifold" (2023, Journal of Optimization Theory and Applications)

Samuel Burer's frequent coauthors include:

  • Kurt M. Anstreicher
  • Anders Eltved
  • Kyungchan Park
  • Yinyu Ye

Best Publications

  • A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization

    Samuel Burer;Renato D.C. Monteiro

  • Non-convex mixed-integer nonlinear programming: A survey

    Samuel Burer;Adam N. Letchford

  • Local Minima and Convergence in Low-Rank Semidefinite Programming

    Samuel Burer;Renato D. C. Monteiro

  • On the copositive representation of binary and continuous nonconvex quadratic programs

    Samuel Burer

  • Ensemble Pruning Via Semi-definite Programming

    Yi Zhang;Samuel Burer;W. Nick Street

  • Rank-Two Relaxation Heuristics for MAX-CUT and Other Binary Quadratic Programs

    Samuel Burer;Renato D. C. Monteiro;Yin Zhang

  • A finite branch-and-bound algorithm for nonconvex quadratic programming via semidefinite relaxations

    Samuel Burer;Dieter Vandenbussche

  • Globally solving nonconvex quadratic programming problems via completely positive programming

    Jieqiu Chen;Samuel Burer

  • Computable representations for convex hulls of low-dimensional quadratic forms

    Kurt M. Anstreicher;Samuel Burer

  • Second-Order-Cone Constraints for Extended Trust-Region Subproblems

    Samuel Burer;Kurt M. Anstreicher

  • Solving Lift-and-Project Relaxations of Binary Integer Programs

    Samuel Burer;Dieter Vandenbussche

  • On Nonconvex Quadratic Programming with Box Constraints

    Samuel Burer;Adam N. Letchford

  • A projected gradient algorithm for solving the maxcut SDP relaxation

    Samuel Burer;Renato D. C. Monteiro

  • Globally solving box-constrained nonconvex quadratic programs with semidefinite-based finite branch-and-bound

    Samuel Burer;Dieter Vandenbussche

  • Solving a class of semidefinite programs via nonlinear programming

    Samuel Burer;Renato D.C. Monteiro;Yin Zhang

  • Optimizing a polyhedral-semidefinite relaxation of completely positive programs

    Samuel Burer

  • The trust region subproblem with non-intersecting linear constraints

    Samuel Burer;Boshi Yang

  • Representing quadratically constrained quadratic programs as generalized copositive programs

    Samuel Burer;Hongbo Dong

  • Maximum stable set formulations and heuristics based on continuous optimization

    Samuel Burer;Renato D.C. Monteiro;Yin Zhang

  • The MILP Road to MIQCP

    Samuel Burer;Anureet Saxena

Frequent Co-Authors

Renato D. C. Monteiro
Renato D. C. Monteiro Georgia Institute of Technology
Yin Zhang
Yin Zhang Chinese University of Hong Kong, Shenzhen
Yinyu Ye
Yinyu Ye Stanford University
Adam N. Letchford
Adam N. Letchford Lancaster University
Moshe Dror
Moshe Dror University of Arizona
Jon Lee
Jon Lee University of Michigan–Ann Arbor
Timothy J. Lowe
Timothy J. Lowe University of Iowa
Masakazu Kojima
Masakazu Kojima Tokyo Institute of Technology
W. Nick Street
W. Nick Street University of Iowa

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