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Publication search results
found 2,116 matches
- 2024
- Paul R. Arbic II, Vladislav Bukshtynov:
Efficient gradient-based optimization for reconstructing binary images in applications to electrical impedance tomography. Comput. Optim. Appl. 88(1): 379-403 (2024) - Benjamin Beach, Robert Burlacu, Andreas Bärmann, Lukas Hager, Robert Hildebrand:
Enhancements of discretization approaches for non-convex mixed-integer quadratically constrained quadratic programming: Part I. Comput. Optim. Appl. 87(3): 835-891 (2024) - Benjamin Beach, Robert Burlacu, Andreas Bärmann, Lukas Hager, Robert Hildebrand:
Enhancements of discretization approaches for non-convex mixed-integer quadratically constrained quadratic programming: part II. Comput. Optim. Appl. 87(3): 893-934 (2024) - E. Ruben van Beesten, Ward Romeijnders, Kees Jan Roodbergen:
Convex approximations of two-stage risk-averse mixed-integer recourse models. Comput. Optim. Appl. 88(1): 313-347 (2024) - Roger Behling, Yunier Bello-Cruz, Alfredo N. Iusem, Di Liu, Luiz-Rafael Santos:
A successive centralized circumcentered-reflection method for the convex feasibility problem. Comput. Optim. Appl. 87(1): 83-116 (2024) - Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos:
SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. Comput. Optim. Appl. 88(1): 71-106 (2024) - Silvia Bonettini, Marco Prato, Simone Rebegoldi:
A new proximal heavy ball inexact line-search algorithm. Comput. Optim. Appl. 88(2): 525-565 (2024) - Claire Boyer, Antoine Godichon-Baggioni:
Correction: On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions. Comput. Optim. Appl. 87(2): 705-706 (2024) - Flávia Chorobura, Ion Necoara:
Coordinate descent methods beyond smoothness and separability. Comput. Optim. Appl. 88(1): 107-149 (2024) - Christian Clason:
Preface to special issue on "optimal control of nonlinear differential equations". Comput. Optim. Appl. 87(3): 707-710 (2024) - Shuotao Diao, Suvrajeet Sen:
Distribution-free algorithms for predictive stochastic programming in the presence of streaming data. Comput. Optim. Appl. 87(2): 355-395 (2024) - Elisabeth Diehl, Johannes Haubner, Michael Ulbrich, Stefan Ulbrich:
Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension. Comput. Optim. Appl. 87(3): 711-751 (2024) - Elisabeth Diehl, Johannes Haubner, Michael Ulbrich, Stefan Ulbrich:
Correction to: Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension. Comput. Optim. Appl. 87(3): 753-754 (2024) - Youssef Diouane, Vyacheslav Kungurtsev, Francesco Rinaldi, Damiano Zeffiro:
Inexact direct-search methods for bilevel optimization problems. Comput. Optim. Appl. 88(2): 469-490 (2024) - Felipe Fidalgo, Emerson V. Castelani, Guilherme Philippi:
A numerical-and-computational study on the impact of using quaternions in the branch-and-prune algorithm for exact discretizable distance geometry problems. Comput. Optim. Appl. 87(2): 501-530 (2024) - Bin Gao, Renfeng Peng, Ya-xiang Yuan:
Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition. Comput. Optim. Appl. 88(2): 443-468 (2024) - Bennet Gebken:
A note on the convergence of deterministic gradient sampling in nonsmooth optimization. Comput. Optim. Appl. 88(1): 151-165 (2024) - Philip E. Gill, Minxin Zhang:
A projected-search interior-point method for nonlinearly constrained optimization. Comput. Optim. Appl. 88(1): 37-70 (2024) - Robert M. Gower, Dirk A. Lorenz, Maximilian Winkler:
A Bregman-Kaczmarz method for nonlinear systems of equations. Comput. Optim. Appl. 87(3): 1059-1098 (2024) - Annalisa Greco, Francesco Cannizzaro, Riccardo Bruno, Alessandro Pluchino:
A nested genetic algorithm strategy for an optimal seismic design of frames. Comput. Optim. Appl. 87(2): 677-704 (2024) - Max Grieshammer, Lukas Pflug, Michael Stingl, Andrian Uihlein:
The continuous stochastic gradient method: part I-convergence theory. Comput. Optim. Appl. 87(3): 935-976 (2024) - Max Grieshammer, Lukas Pflug, Michael Stingl, Andrian Uihlein:
The continuous stochastic gradient method: part II-application and numerics. Comput. Optim. Appl. 87(3): 977-1008 (2024) - Max Grieshammer, Lukas Pflug, Michael Stingl, Andrian Uihlein:
Correction to: The continuous stochastic gradient method: part II-application and numerics. Comput. Optim. Appl. 87(3): 1009-1010 (2024) - Christoph Hansknecht, Christian Kirches, Paul Manns:
Convergence of successive linear programming algorithms for noisy functions. Comput. Optim. Appl. 88(2): 567-601 (2024) - Stuart M. Harwood, Francisco Trespalacios, Dimitri J. Papageorgiou, Kevin C. Furman:
Equilibrium modeling and solution approaches inspired by nonconvex bilevel programming. Comput. Optim. Appl. 87(2): 641-676 (2024) - Fabian Hoppe, Ira Neitzel:
A-posteriori reduced basis error-estimates for a semi-discrete in space quasilinear parabolic PDE. Comput. Optim. Appl. 87(3): 755-784 (2024) - Qingjie Hu, Liping Zhu, Yu Chen:
Alternative extension of the Hager-Zhang conjugate gradient method for vector optimization. Comput. Optim. Appl. 88(1): 217-250 (2024) - Einosuke Iida, Makoto Yamashita:
An infeasible interior-point arc-search method with Nesterov's restarting strategy for linear programming problems. Comput. Optim. Appl. 88(2): 643-676 (2024) - Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo:
Stochastic projective splitting. Comput. Optim. Appl. 87(2): 397-437 (2024) - Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo:
Correction to: Stochastic projective splitting. Comput. Optim. Appl. 87(2): 439 (2024)
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