论文列表及评分结果

Geometry of optimality conditions and constraint qualifications: The convex case.

电商所评分:8

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A smoothing-out technique for min - max optimization.

电商所评分:9

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A new subdivision for computing fixed points with a homotopy algorithm.

电商所评分:10

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Computational experience with the Chow - Yorke algorithm.

电商所评分:10

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Fitting hyperplanes by minimizing orthogonal deviations.

电商所评分:3

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Eliminating extraneous edges in Greenberg's algorithm.

电商所评分:4

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A note on heuristics for the traveling salesman problem.

电商所评分:8

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Characterizations of optimal scalings of matrices.

电商所评分:9

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A modified reduced gradient method for a class of nondifferentiable problems.

电商所评分:10

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Bounds for aggregating nodes in network problems.

电商所评分:1

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Second-order conditions for an exact penalty function.

电商所评分:5

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A dual method for discrete Chebychev curve fitting.

电商所评分:1

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Locally unique solutions of quadratic programs, linear and nonlinear complementarity problems.

电商所评分:10

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Computational complexity of parametric linear programming.

电商所评分:7

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Feasible direction methods for stochastic programming problems.

电商所评分:3

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New criteria for the simplex algorithm.

电商所评分:6

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A note on the convergence of an algorithm for nonconvex programming problems.

电商所评分:8

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A degeneracy exploiting LU factorization for the simplex method.

电商所评分:2

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Calculating surrogate constraints.

电商所评分:8

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Two stage linear programming under uncertainty with 0-1 integer first stage variables.

电商所评分:1

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On the convexifiability of pseudoconvex C2-functions.

电商所评分:2

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Shadow prices in nonconvex mathematical programming.

电商所评分:8

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Infinite retrogression in the Eaves - Saigal algorithm.

电商所评分:2

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A variable dimension algorithm for the linear complementarity problem.

电商所评分:6

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Completely-Q matrices.

电商所评分:4

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About a minimax theorem of Matthies, Strang and Christiansen.

电商所评分:1

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A general cone decomposition theory based on efficiency.

电商所评分:3

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Duality in disjunctive programming via vector optimization.

电商所评分:10

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Global convergence in infeasible-interior-point algorithms.

电商所评分:10

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Some perturbation theory for linear programming.

电商所评分:9

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