„Nonconvex optimization“
Suchergebnisse
1.000+ Treffer
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The p-Lagrangian relaxation for separable nonconvex MIQCQP problems
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KKT condition-based smoothing recurrent neural network for nonsmooth nonconvex optimization in compressed sensing
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Nonconvex energy functions, related eigenvalue hemivariational inequalities on the sphere and applications
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A semi-Bregman proximal alternating method for a class of nonconvex problems: local and global convergence analysis
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Functions and inequalities associated with the nonconvex second-order cone
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Using Improved Directions of Negative Curvature for the Solution of Bound-Constrained Nonconvex Problems
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Nonasymptotic Estimates for Stochastic Gradient Langevin Dynamics Under Local Conditions in Nonconvex Optimization
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Optimal Design of Trusses Under a Nonconvex Global Buckling Constraint
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Rockafellar, R. T., The Theory of Subgradients and Its Applications to Problems of Optimization. Convex and Nonconvex Functions. Berlin, Heldermann Verlag 1981. 114 S., DM 28, –. ISBN 3‐88538‐201‐6 (Research and Education in Mathematics 1)
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Asynchronous parallel algorithms for nonconvex optimization
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Adaptive piecewise linear relaxations for enclosure computations for nonconvex multiobjective mixed-integer quadratically constrained programs
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Inertial proximal Bregman ADMM with dual relaxation approach for nonconvex optimization
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The landscape of the proximal point method for nonconvex–nonconcave minimax optimization
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A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes
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An explainable multi-sparsity multi-kernel nonconvex optimization least-squares classifier method via ADMM
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solver for multiobjective mixed-integer convex and nonconvex optimization
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Further study on symmetric alternating direction method of multipliers for nonconvex optimization
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A multi-step inertial extragradient algorithm for nonsmooth and nonconvex composite optimization problems
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An Inertial Bregman Proximal Linearized GADMM for Solving Nonconvex Composite Optimization Problems Coupled by a Difference of Functions
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Functional lifting, direct approaches and applications of nonconvex optimization in computer vision