Works matching IS 00255610 AND DT 2022 AND VI 195 AND IP 1/2
Results: 30
Distributionally robust stochastic programs with side information based on trimmings.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 1069, doi. 10.1007/s10107-021-01724-0
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The aggregation closure is polyhedral for packing and covering integer programs.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 1135, doi. 10.1007/s10107-021-01723-1
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Decreasing minimization on M-convex sets: background and structures.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 977, doi. 10.1007/s10107-021-01722-2
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A control-theoretic perspective on optimal high-order optimization.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 929, doi. 10.1007/s10107-021-01721-3
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A Lagrange–Newton algorithm for sparse nonlinear programming.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 903, doi. 10.1007/s10107-021-01719-x
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Best approximation mappings in Hilbert spaces.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 855, doi. 10.1007/s10107-021-01718-y
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Discrete 2-convex functions.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 831, doi. 10.1007/s10107-021-01717-z
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Non-convex exact community recovery in stochastic block model.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 1, doi. 10.1007/s10107-021-01715-1
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On the complexity of finding a local minimizer of a quadratic function over a polytope.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 783, doi. 10.1007/s10107-021-01714-2
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From differential equation solvers to accelerated first-order methods for convex optimization.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 735, doi. 10.1007/s10107-021-01713-3
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Decreasing minimization on M-convex sets: algorithms and applications.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 1027, doi. 10.1007/s10107-021-01711-5
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Stopping criteria for, and strong convergence of, stochastic gradient descent on Bottou-Curtis-Nocedal functions.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 693, doi. 10.1007/s10107-021-01710-6
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Stochastic variance-reduced prox-linear algorithms for nonconvex composite optimization.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 649, doi. 10.1007/s10107-021-01709-z
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A tractable multi-leader multi-follower peak-load-pricing model with strategic interaction.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 605, doi. 10.1007/s10107-021-01708-0
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Curiosities and counterexamples in smooth convex optimization.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 553, doi. 10.1007/s10107-021-01707-1
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Worst-case analysis of clique MIPs.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 517, doi. 10.1007/s10107-021-01706-2
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Set characterizations and convex extensions for geometric convex-hull proofs.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 475, doi. 10.1007/s10107-021-01705-3
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On the geometric analysis of a quartic–quadratic optimization problem under a spherical constraint.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 421, doi. 10.1007/s10107-021-01702-6
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Integer plane multiflow maximisation: one-quarter-approximation and gaps.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 403, doi. 10.1007/s10107-021-01700-8
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Empowering the configuration-IP: new PTAS results for scheduling with setup times.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 367, doi. 10.1007/s10107-021-01694-3
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Computing the nucleolus of weighted voting games in pseudo-polynomial time.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 1123, doi. 10.1007/s10107-021-01693-4
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An infeasible-start framework for convex quadratic optimization, with application to constraint-reduced interior-point and other methods.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 327, doi. 10.1007/s10107-021-01692-5
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Joint chance-constrained programs and the intersection of mixing sets through a submodularity lens.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 283, doi. 10.1007/s10107-021-01688-1
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Convergence rate of block-coordinate maximization Burer–Monteiro method for solving large SDPs.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 243, doi. 10.1007/s10107-021-01686-3
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Fully polynomial time (Σ,Π)-approximation schemes for continuous nonlinear newsvendor and continuous stochastic dynamic programs.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 183, doi. 10.1007/s10107-021-01685-4
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A cost-scaling algorithm for minimum-cost node-capacitated multiflow problem.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 149, doi. 10.1007/s10107-021-01683-6
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Understanding the acceleration phenomenon via high-resolution differential equations.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 79, doi. 10.1007/s10107-021-01681-8
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Bootstrap robust prescriptive analytics.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 39, doi. 10.1007/s10107-021-01679-2
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A combinatorial algorithm for computing the rank of a generic partitioned matrix with 2×2 submatrices.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 1, doi. 10.1007/s10107-021-01676-5
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On linear optimization over Wasserstein balls.
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- Mathematical Programming, 2022, v. 195, n. 1/2, p. 1107, doi. 10.1007/s10107-021-01673-8
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