A DC programming approach for feature selection in support vector machines learning
, 2008 Feature selection, SVM, Nonconvex optimisation, DC programming, DCA, 90C26, 62-07,
Nguyen, van Vinh +7 more
core +1 more source
Bounded lower subdifferentiability optimization techniques: applications
Lipschitz and quasiconvex programming, Global optimization, Cutting angle method, Abstract convexity, 90C26, 90C30,
Albert Ferrer, Gleb Beliakov
core +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
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
core +1 more source
A new augmented Lagrangian approach to duality and exact penalization
Augmented Lagrangian, Augmenting function, Nonconvex problem, Duality, 90C26, 90C46,
C. Lalitha
core +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
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
core +1 more source
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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Generalized derivatives and nonsmooth optimization, a finite dimensional tour
, 2005 Convex optimization, nonsmooth analysis, nonsmooth optimization, set-valued maps, variational analysis, mathematical programming, nonconvex programming, nonlinear programming, optimality conditions, second order conditions, tangent cones, normal cones ...
Joydeep Dutta
core +1 more source
Duality and optimality conditions for generalized equilibrium problems involving DC functions
Equilibrium problems, Duality, Fenchel conjugation, DC functions, Variational inequalities, 49N15, 58E35, 90C26, 90C46,
N. Dinh, J. Strodiot, V. Nguyen
core +1 more source