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Mathematics
Brazil
2026
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Engineering and Technology
Brazil
2025

D-Index & Metrics

Mathematics

D-Index
50
Citations
11594
World Ranking
1073
National Ranking
4

Engineering and Technology

D-Index
51
Citations
11619
World Ranking
3799
National Ranking
11

Research.com Recognitions

  • 2026 - Research.com Mathematics in Brazil Leader Award
  • 2025 - Research.com Engineering and Technology in Brazil Leader Award
  • 2025 - Research.com Mathematics in Brazil Leader Award
  • 2023 - Research.com Engineering and Technology in Brazil Leader Award
  • 2023 - Research.com Mathematics in Brazil Leader Award
  • 2022 - Research.com Engineering and Technology in Brazil Leader Award

Overview

Benar Fux Svaiter is affiliated with the Instituto Nacional de Matemática Pura e Aplicada in Brazil. Their research spans primarily the fields of Mathematics and Computer Science, with a focus on subfields such as Computational Theory and Mathematics, Numerical Analysis, Management Science and Operations Research, Mathematical Physics, and Biomedical Engineering.

Their main research topics cover Optimization and Variational Analysis, Advanced Optimization Algorithms Research, Quantum Electrodynamics and Casimir Effect, Advanced Thermodynamics and Statistical Mechanics, Risk and Portfolio Optimization, Electrical and Bioimpedance Tomography, and Numerical methods in inverse problems.

Svaiter has published academic papers in various venues, including:

  • arXiv (Cornell University)
  • SIAM Journal on Optimization
  • IMA Journal of Numerical Analysis
  • Physical review. E
  • Optimization

Recent papers authored or coauthored by Svaiter include:

  • A partially inexact ADMM with o(1/n) asymptotic convergence rate, (1/n) complexity, and immediate relative error tolerance (2020), published in Optimization
  • Range-relaxed criteria for choosing the Lagrange multipliers in the Levenberg-Marquardt method (2020), published in IMA Journal of Numerical Analysis
  • Critical Casimir effect in a disordered O(2)-symmetric model (2024), published in Physical review. E
  • Inexact Cuts in Stochastic Dual Dynamic Programming Applied to Multistage Stochastic Nondifferentiable Problems (2021), published in SIAM Journal on Optimization
  • Inexact cuts in SDDP applied to multistage stochastic nondifferentiable problems (2020), published on arXiv (Cornell University)

Frequent coauthors working with Svaiter include:

  • N. F. Svaiter
  • G. O. Heymans
  • G. Krein
  • Vincent Guigues
  • Renato D. C. Monteiro

Best Publications

  • Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward-backward splitting, and regularized Gauss-Seidel methods

    Hedy Attouch;Jérôme Bolte;Benar Fux Svaiter

  • Steepest descent methods for multicriteria optimization

    Jörg Fliege;Benar Fux Svaiter

  • A New Projection Method for Variational Inequality Problems

    M. V. Solodov;B. F. Svaiter

  • Forcing strong convergence of proximal point iterations in a Hilbert space

    Mikhail V. Solodov;Benar Fux Svaiter

  • Newton's Method for Multiobjective Optimization

    J. Fliege;L. M. Graña Drummond;B. F. Svaiter

  • A HYBRID APPROXIMATE EXTRAGRADIENT - PROXIMAL POINT ALGORITHM USING THE ENLARGEMENT OF A MAXIMAL MONOTONE OPERATOR

    M. V. Solodov;B. F. Svaiter

  • A hybrid projection-proximal point algorithm.

    M. V. Solodov;B. F. Svaiter

  • A variant of korpelevich’s method for variational inequalities with a new search strategy

    A. N. Iusem;B. F. Svaiter

  • An Inexact Hybrid Generalized Proximal Point Algorithm and Some New Results on the Theory of Bregman Functions

    M. V. Solodov;B. F. Svaiter

  • A steepest descent method for vector optimization

    L. M. Graña Drummond;B. F. Svaiter

  • Enlargement of Monotone Operators with Applications to Variational Inequalities

    Regina S. Burachik;Alfredo N. Iusem;B. F. Svaiter

  • ITERATION-COMPLEXITY OF BLOCK-DECOMPOSITION ALGORITHMS AND THE ALTERNATING DIRECTION METHOD OF MULTIPLIERS ∗

    Renato D. C. Monteiro;Benar Fux Svaiter

  • Entropy-like proximal methods in convex programming

    Alfredo N. Iusem;B. F. Svaiter;Marc Teboulle

  • Proximal Methods in Vector Optimization

    Henri Bonnel;Alfredo Noel Iusem;Benar Fux Svaiter

  • Relaxed Steepest Descent and Cauchy-Barzilai-Borwein Method

    Marcos Raydan;Benar F. Svaiter

  • On Weak Convergence of the Douglas-Rachford Method

    B. F. Svaiter

  • On the Complexity of the Hybrid Proximal Extragradient Method for the Iterates and the Ergodic Mean

    Renato D. C. Monteiro;B. F. Svaiter

  • A UNIFIED FRAMEWORK FOR SOME INEXACT PROXIMAL POINT ALGORITHMS

    M. V. Solodov;B. F. Svaiter

  • Full convergence of the steepest descent method with inexact line searches

    R. Burachik;L. M. Graña Drummond;A.N. Iusem;B. F. Svaiter

  • Complexity of Variants of Tseng's Modified F-B Splitting and Korpelevich's Methods for Hemivariational Inequalities with Applications to Saddle-point and Convex Optimization Problems

    Renato D. C. Monteiro;B. F. Svaiter

  • An Accelerated Hybrid Proximal Extragradient Method for Convex Optimization and Its Implications to Second-Order Methods

    Renato D. C. Monteiro;Benar Fux Svaiter

Frequent Co-Authors

Alfredo N. Iusem
Alfredo N. Iusem Fundação Getulio Vargas
Renato D. C. Monteiro
Renato D. C. Monteiro Georgia Institute of Technology
Mikhail V. Solodov
Mikhail V. Solodov Instituto Nacional de Matemática Pura e Aplicada
José Mario Martínez
José Mario Martínez State University of Campinas
Hedy Attouch
Hedy Attouch University of Montpellier
Claudio Landim
Claudio Landim Instituto Nacional de Matemática Pura e Aplicada
Jonathan Eckstein
Jonathan Eckstein Rutgers, The State University of New Jersey
Claudia Sagastizábal
Claudia Sagastizábal State University of Campinas
Marc Teboulle
Marc Teboulle Tel Aviv University
Uri M. Ascher
Uri M. Ascher University of British Columbia

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