Works matching IS 00255610 AND DT 2014 AND VI 147 AND IP 1/2
Results: 21
A first order method for finding minimal norm-like solutions of convex optimization problems.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 25, doi. 10.1007/s10107-013-0708-2
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Geometric measures of convex sets and bounds on problem sensitivity and robustness for conic linear optimization.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 47, doi. 10.1007/s10107-013-0709-1
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Tree metrics and edge-disjoint $$S$$ -paths.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 81, doi. 10.1007/s10107-013-0713-5
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Iterative hard thresholding methods for $$l_0$$ regularized convex cone programming.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 125, doi. 10.1007/s10107-013-0714-4
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- Article
On the bilinearity rank of a proper cone and Lyapunov-like transformations.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 155, doi. 10.1007/s10107-013-0715-3
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Trust-region problems with linear inequality constraints: exact SDP relaxation, global optimality and robust optimization.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 171, doi. 10.1007/s10107-013-0716-2
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Strongly regular nonsmooth generalized equations.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 581, doi. 10.1007/s10107-013-0717-1
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A simple randomised algorithm for convex optimisation.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 207, doi. 10.1007/s10107-013-0718-0
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Network congestion control with Markovian multipath routing.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 231, doi. 10.1007/s10107-013-0719-z
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The divergence of the BFGS and Gauss Newton methods.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 253, doi. 10.1007/s10107-013-0720-6
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Iterative reweighted minimization methods for $$l_p$$ regularized unconstrained nonlinear programming.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 277, doi. 10.1007/s10107-013-0722-4
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The Hirsch Conjecture for the fractional stable set polytope.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 309, doi. 10.1007/s10107-013-0723-3
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Computing the nearest Euclidean distance matrix with low embedding dimensions.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 351, doi. 10.1007/s10107-013-0726-0
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Threshold Boolean form for joint probabilistic constraints with random technology matrix.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 391, doi. 10.1007/s10107-013-0728-y
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- Article
Guaranteed clustering and biclustering via semidefinite programming.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 429, doi. 10.1007/s10107-013-0729-x
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Optimality, identifiability, and sensitivity.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 467, doi. 10.1007/s10107-013-0730-4
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On matching cover of graphs.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 499, doi. 10.1007/s10107-013-0731-3
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A Frank-Wolfe type theorem for nondegenerate polynomial programs.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 519, doi. 10.1007/s10107-013-0732-2
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First order optimality conditions for mathematical programs with semidefinite cone complementarity constraints.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 539, doi. 10.1007/s10107-013-0735-z
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- Article
The numerical solution of Newton's problem of least resistance.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 331, doi. 10.1007/s10107-014-0756-2
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An efficient polynomial time approximation scheme for load balancing on uniformly related machines.
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- Mathematical Programming, 2014, v. 147, n. 1/2, p. 1, doi. 10.1007/s10107-013-0706-4
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- Article