Found: 11
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IPRSDP: a primal-dual interior-point relaxation algorithm for semidefinite programming.
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- Computational Optimization & Applications, 2024, v. 88, n. 1, p. 1, doi. 10.1007/s10589-024-00558-8
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A projected-search interior-point method for nonlinearly constrained optimization.
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- Computational Optimization & Applications, 2024, v. 88, n. 1, p. 37, doi. 10.1007/s10589-023-00549-1
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SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization.
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- Computational Optimization & Applications, 2024, v. 88, n. 1, p. 71, doi. 10.1007/s10589-023-00550-8
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Coordinate descent methods beyond smoothness and separability.
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- Computational Optimization & Applications, 2024, v. 88, n. 1, p. 107, doi. 10.1007/s10589-024-00556-w
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A note on the convergence of deterministic gradient sampling in nonsmooth optimization.
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- Computational Optimization & Applications, 2024, v. 88, n. 1, p. 151, doi. 10.1007/s10589-024-00552-0
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Accelerated forward–backward algorithms for structured monotone inclusions.
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- Computational Optimization & Applications, 2024, v. 88, n. 1, p. 167, doi. 10.1007/s10589-023-00547-3
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Alternative extension of the Hager–Zhang conjugate gradient method for vector optimization.
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- Computational Optimization & Applications, 2024, v. 88, n. 1, p. 217, doi. 10.1007/s10589-023-00548-2
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Convex mixed-integer nonlinear programs derived from generalized disjunctive programming using cones.
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- Computational Optimization & Applications, 2024, v. 88, n. 1, p. 251, doi. 10.1007/s10589-024-00557-9
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Convex approximations of two-stage risk-averse mixed-integer recourse models.
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- Computational Optimization & Applications, 2024, v. 88, n. 1, p. 313, doi. 10.1007/s10589-024-00555-x
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- Article
A benchmark generator for scenario-based discrete optimization.
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- Computational Optimization & Applications, 2024, v. 88, n. 1, p. 349, doi. 10.1007/s10589-024-00551-1
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Efficient gradient-based optimization for reconstructing binary images in applications to electrical impedance tomography.
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- Computational Optimization & Applications, 2024, v. 88, n. 1, p. 379, doi. 10.1007/s10589-024-00553-z
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