Results 61 to 70 of about 173 (143)
Geometric approaches to matrix normalization and graph balancing
Forum of Mathematics, SigmaNormal matrices, or matrices which commute with their adjoints, are of fundamental importance in pure and applied mathematics. In this paper, we study a natural functional on the space of square complex matrices whose global minimizers are normal ...
Tom Needham, Clayton Shonkwiler
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Computing Integral Solutions of Complementarity Problems [PDF]
AMS classifications: 90C33, 90C26, 91B50.Discrete set;complementarity problem;algorithm ...
Laan, G. van der +2 more
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Two level hierarchical time minimizing transportation problem
Global optimization, concave minimization problem, time minimizing transportation problem, hierarchical optimization, 90C27, 90C26, 90C08, 90C90,
Sonia, Munish Puri
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About the non-convex optimization problem induced by non-positive semidefinite kernel learning
Support vector machine, Kernel methods, Non-convex optimization, 90C26, 49Q, 74P05, C45, C14,
Katharina Morik, Ingo Mierswa
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A primal dual modified subgradient algorithm with sharp Lagrangian
Nonsmooth optimization, Nonconvex optimization, Duality scheme, Sharp Lagrangian, Modified subgradient algorithm, 90C26, 49M29, 49M37,
Alfredo Iusem +2 more
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Remarks on strict efficiency in scalar and vector optimization
Scalar optimization, Vector optimization, Strict efficiency, Basic subdifferential, Fréchet subdifferential, 90C29, 90C26, 49J52,
M. Durea
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Dai–Liao-type Riemannian optimization for solving the Gough–Stewart platform
EURO Journal on Computational OptimizationWe introduce a class of Dai–Liao-type Riemannian conjugate gradient (CG) methods that achieve global convergence without relying on the Gauss lemma, typically invoked under strong convexity assumptions.
Nasiru Salihu +3 more
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Central axes and peripheral points in high dimensional directional datasets.
, 2015 International audienceWe introduce a new notion of central axis for a finite set {a 1 ,. .. , a m } of vectors in R n. In tandem, we discuss different ways of measuring the dispersion of the data points a i 's around the central axis. Finally, we explain
Seeger, Alberto +5 more
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A class of r-semipreinvex functions and optimality in nonlinear programming
Semi-connected sets, Semipreinvex functions, r-Semipreinvex functions, Optimality, Nonlinear programming, 90C25, 90C26, 90C30,
Ke Zhao, Zhe Chen, Xue Liu
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Characterizations of the Solution Sets of Generalized Convex Minimization Problems [PDF]
, 2003 2000 Mathematics Subject Classification: 90C26, 90C20, 49J52, 47H05, 47J20.In this paper we obtain some simple characterizations of the solution sets of a pseudoconvex program and a variational inequality. Similar characterizations of the solution set of
Ivanov, Vsevolod
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