Results 31 to 40 of about 68 (67)
A hybrid approach to the solution of a pricing model with continuous demand segmentation
EURO Journal on Computational Optimization, 2013 Price optimization fits naturally the framework of bilevel programming, where a leader integrates within its decision process the reaction of rational customers.
Patrice Marcotte +2 more
doaj +1 more source
Nonsmooth spectral gradient methods for unconstrained optimization
EURO Journal on Computational Optimization, 2017 To solve nonsmooth unconstrained minimization problems, we combine the spectral choice of step length with two well-established subdifferential-type schemes: the gradient sampling method and the simplex gradient method.
Milagros Loreto +3 more
doaj +1 more source
On global optimization with indefinite quadratics
EURO Journal on Computational Optimization, 2017 We present an algorithmic framework for global optimization problems in which the non-convexity is manifested as an indefinite-quadratic as part of the objective function.
Marcia Fampa, Jon Lee, Wendel Melo
doaj +1 more source
Performance Bounds For Co-/Sparse Box Constrained Signal Recovery
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2019 The recovery of structured signals from a few linear measurements is a central point in both compressed sensing (CS) and discrete tomography. In CS the signal structure is described by means of a low complexity model e.g. co-/sparsity.
Kuske Jan, Petra Stefania
doaj +1 more source
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
doaj +1 more source
Journal of Inequalities and Applications, 2011 In this paper, an efficient modified nonlinear conjugate gradient method for solving unconstrained optimization problems is proposed. An attractive property of the modified method is that the generated direction in each step is always descending without ...
Liu Jinkui, Wang Shaoheng
doaj
Consensus-based optimisation with truncated noise
European Journal of Applied MathematicsConsensus-based optimisation (CBO) is a versatile multi-particle metaheuristic optimisation method suitable for performing non-convex and non-smooth global optimisations in high dimensions.
Massimo Fornasier +3 more
doaj +1 more source
Tikhonov regularization of a second order dynamical system with Hessian driven damping. [PDF]
Math Program, 2021 Boţ RI, Csetnek ER, László SC.
europepmc +1 more source
A second-order dynamical approach with variable damping to nonconvex smooth minimization. [PDF]
Appl Anal, 2020 Boţ RI, Csetnek ER, László SC.
europepmc +1 more source
ORTHOGONAL TRACE-SUM MAXIMIZATION: APPLICATIONS, LOCAL ALGORITHMS, AND GLOBAL OPTIMALITY. [PDF]
SIAM J Matrix Anal Appl, 2021 Won JH, Zhou H, Lange K.
europepmc +1 more source