Results 91 to 100 of about 231 (178)
Extensions of Dinkelbach's algorithm for solving non-linear fractional programming problems
Fractional Programming, Parametric Optimization, Nonconvex Programming, Nonlinear Programming, AMS subject classification, 90C32, 90C31, 90C26, 90C30,
Doroteo Verastegui +2 more
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Sufficient Second Order Optimality Conditions for C^1 Multiobjective Optimization Problems [PDF]
2000 Mathematics Subject Classification: Primary 90C29; Secondary 90C30.In this work, we use the notion of Approximate Hessian introduced by Jeyakumar and Luc [19], and a special scalarization to establish sufficient optimality conditions for constrained
Gadhi, N.
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Pseudomonotone operators and the Bregman Proximal Point Algorithm
Pseudomonotone operators, Variational inequalities, Bregman distances, Proximal Point algorithm, Interior-point-effect, 47J20, 65J20, 65K10, 90C26, 90C30,
Nils Langenberg
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DrAmpl: a meta solver for optimization problem analysis
Optimization model, AMPL modeling language, Directed acyclic graph, Convexity assessment, Structural model analysis, Solver recommendation, C61, C63, 90C25, 90C26, 90C30,
Dominique Orban, R. Fourer
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Second order optimality conditions for bilevel set optimization problems
Approximate Jacobian, Approximate Hessian, Recession matrices, Bilevel optimization, Second order approximation, Necessary optimality conditions, Regularity condition, Set valued mappings, Support function, 90C29, 49J52, 90C30, 49K99,
N. Gadhi, S. Dempe
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Convexification for data fitting
Convexification, Global optimization, Local minima, Data fitting, Neural network, Nonlinear regression, Minimax, Robustifying error crition, Degree of robustness, 90C30, 90C31, 62M45, 62G08,
James Lo
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A new local convergence analysis of the Gauss-Newton method for solving some optimization problems is presented using restricted convergence domains. The results extend the applicability of the Gauss-Newton method under the same computational cost given ...
ARGYROS , Ioannis K., GEORGE, Santhosh
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On the Finite Complexity of Solutions in a Degenerate System of Quadratic Equations: Exact Formula. [PDF]
Brezhneva O +2 more
europepmc +1 more source
Quadratic nonconvex optimization, Regularized Lagrangian, Strong duality, Quadratic constraints, Linear equality constraints, Trust-region problems, Alternative theorems, 90C26, 90C46, 90C20, 90C30,
V. Jeyakumar, Guoyin Li
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Second order optimality conditions in nonsmooth unconstrained optimization. [PDF]
AMS subject classification: 49J52, 90C30.Second order sufficient and necessary conditions are given for a nonsmooth function f defined in a Banach space to attain a minimum at a point in the interior of its domain.
GUERRAGGIO, ANGELO +2 more
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