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Claudia Sagastizábal

Claudia Sagastizábal

D-Index & Metrics

Mathematics

D-Index
36
Citations
6406
World Ranking
2616
National Ranking
21

Overview

Claudia Sagastizábal is affiliated with the State University of Campinas in Brazil. Their research primarily spans the field of engineering, with a focus on electrical and electronic engineering, computational theory and mathematics, and management science and operations research. The work also covers areas such as modeling and simulation and numerical analysis.

The scientific contributions of Claudia Sagastizábal concentrate on several key topics including risk and portfolio optimization, optimization and variational analysis, electric power system optimization, COVID-19 epidemiological studies, advanced optimization algorithms research, water resources management and optimization, and sparse and compressive sensing techniques.

Frequent publication venues for their work include:

  • Set-Valued and Variational Analysis
  • SIAM Journal on Optimization
  • Mathematical Programming
  • Computational Optimization and Applications
  • Proceedings of the National Academy of Sciences

Among recent papers authored or co-authored by Claudia Sagastizábal are:

  • "Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions," 2021, Proceedings of the National Academy of Sciences
  • "A regularized smoothing method for fully parameterized convex problems with applications to convex and nonconvex two-stage stochastic programming," 2020, Mathematical Programming
  • "Revisiting augmented Lagrangian duals," 2021, Mathematical Programming
  • "A discussion on electricity prices, or the two sides of the coin," 2021, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • "Robot Dance: A mathematical optimization platform for intervention against COVID-19 in a complex network," 2022, EURO Journal on Computational Optimization

Regular co-authors in their research include:

  • M. V. Solodov
  • Paulo J. S. Silva
  • Luís Gustavo Nonato
  • Tiago Pereira
  • Pedro Augusto Pereira Borges

Best Publications

  • Robot Dance: A mathematical optimization platform for intervention against COVID-19 in a complex network

    Unknown

  • Numerical Optimization: Theoretical and Practical Aspects (Universitext)

    J. Frédéric Bonnans;Jean Charles Gilbert;Claude Lemaréchal;Claudia A. Sagastizábal

  • Practical Aspects of the Moreau--Yosida Regularization: Theoretical Preliminaries

    Claude Lemaréchal;Claudia Sagastizábal

  • Variable metric bundle methods: from conceptual to implementable forms

    Claude Lemaréchal;Claudia Sagastizábal

  • A family of variable metric proximal methods

    J. F. Bonnans;J. Ch. Gilbert;C. Lemaréchal;C. A. Sagastizábal

  • Computing proximal points of nonconvex functions

    Warren Hare;Claudia Sagastizábal

  • Solving the unit commitment problem of hydropower plants via Lagrangian Relaxation and Sequential Quadratic Programming

    Erlon C. Finardi;Edson L. da Silva;Claudia Sagastizábal

  • Divide to conquer: decomposition methods for energy optimization

    C. Sagastizábal

  • A Redistributed Proximal Bundle Method for Nonconvex Optimization

    Warren Hare;Claudia Sagastizábal

  • Bundle Methods in Stochastic Optimal Power Management: A Disaggregated Approach Using Preconditioners

    Léonard Bacaud;Claude Lemaréchal;Arnaud Renaud;Claudia Sagastizábal

  • Convex proximal bundle methods in depth: a unified analysis for inexact oracles

    W. Oliveira;C. Sagastizábal;C. Lemaréchal

  • Inexact Bundle Methods for Two-Stage Stochastic Programming

    Welington Luis de Oliveira;Claudia A. Sagastizábal;Susana Scheimberg

  • Level bundle methods for oracles with on-demand accuracy

    W. de Oliveira;C. Sagastizábal

  • An Infeasible Bundle Method for Nonsmooth Convex Constrained Optimization without a Penalty Function or a Filter

    Claudia Sagastizábal;Mikhail Solodov

  • A **-algorithm for convex minimization

    Robert Mifflin;Claudia Sagastizábal

  • A bundle-filter method for nonsmooth convex constrained optimization

    Elizabeth Karas;Ademir Ribeiro;Claudia Sagastizábal;Mikhail Solodov

  • The -Lagrangian of a convex function

    Claude Lemaréchal;François Oustry;Claudia Sagastizábal

  • A proximal bundle method for nonsmooth nonconvex functions with inexact information

    W. Hare;C. Sagastizábal;M. Solodov

  • The volume algorithm revisited: relation with bundle methods

    Laura Bahiense;Nelson Maculan;Claudia A. Sagastizábal

  • Bundle relaxation and primal recovery in Unit Commitment problems. The Brazilian case.

    A. Belloni;A.L. Diniz Souto Lima;M.E. Piñeiro Maceira;C.A. Sagastizábal

  • ε-Enlargements of Maximal Monotone Operators: Theory and Applications

    Regina S. Burachik;Claudia A. Sagastizábal;B. F. Svaiter

Frequent Co-Authors

Claude Lemaréchal
Claude Lemaréchal French Institute for Research in Computer Science and Automation - INRIA
Mikhail V. Solodov
Mikhail V. Solodov Instituto Nacional de Matemática Pura e Aplicada
Benar Fux Svaiter
Benar Fux Svaiter Instituto Nacional de Matemática Pura e Aplicada
Antonio Frangioni
Antonio Frangioni University of Pisa
Andy Philpott
Andy Philpott University of Auckland

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