Works matching IS 00255610 AND DT 2019 AND VI 175 AND IP 1/2
Results: 15
A parallelizable augmented Lagrangian method applied to large-scale non-convex-constrained optimization problems.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 503, doi. 10.1007/s10107-018-1253-9
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Submodular functions: from discrete to continuous domains.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 419, doi. 10.1007/s10107-018-1248-6
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Stochastic dual dynamic integer programming.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 461, doi. 10.1007/s10107-018-1249-5
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A block symmetric Gauss–Seidel decomposition theorem for convex composite quadratic programming and its applications.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 395, doi. 10.1007/s10107-018-1247-7
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Error bounds for monomial convexification in polynomial optimization.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 355, doi. 10.1007/s10107-018-1246-8
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Nearly linear-time packing and covering LP solvers: Achieving width-independence and -convergence.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 307, doi. 10.1007/s10107-018-1244-x
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Routing optimization with time windows under uncertainty.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 263, doi. 10.1007/s10107-018-1243-y
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Rates of convergence for inexact Krasnosel'skii–Mann iterations in Banach spaces.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 241, doi. 10.1007/s10107-018-1240-1
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Polytopes associated with symmetry handling.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 197, doi. 10.1007/s10107-018-1239-7
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On partial smoothness, tilt stability and the VU-decomposition.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 155, doi. 10.1007/s10107-018-1238-8
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Scaling, proximity, and optimization of integrally convex functions.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 119, doi. 10.1007/s10107-018-1234-z
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On representing the positive semidefinite cone using the second-order cone.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 109, doi. 10.1007/s10107-018-1233-0
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Linear convergence of first order methods for non-strongly convex optimization.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 69, doi. 10.1007/s10107-018-1232-1
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On intersection of two mixing sets with applications to joint chance-constrained programs.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 29, doi. 10.1007/s10107-018-1231-2
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Eventual convexity of probability constraints with elliptical distributions.
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- Mathematical Programming, 2019, v. 175, n. 1/2, p. 1, doi. 10.1007/s10107-018-1230-3
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