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Bound states of the Dirac equation for a class of effective quadratic plus inversely quadratic potentials
(Elsevier B.V., 2004-05-01)
The Dirac equation is exactly solved for a pseudoscalar linear plus Coulomb-like potential in a two-dimensional world. This sort of potential gives rise to an effective quadratic plus inversely quadratic potential in a ...
Bound states of the Dirac equation for a class of effective quadratic plus inversely quadratic potentials
(Elsevier B.V., 2004-05-01)
The Dirac equation is exactly solved for a pseudoscalar linear plus Coulomb-like potential in a two-dimensional world. This sort of potential gives rise to an effective quadratic plus inversely quadratic potential in a ...
Hybrid Algorithm for Solving the Quadratic Assignment Problem
The Quadratic Assignment Problem (QAP) is a combinatorial optimization problem; it belongs to the class of NP-hard problems. This problem is applied in various fields such as hospital layout, scheduling parallel production ...
Image restoration with a half-quadratic approach to mixed weighted smooth and anisotropic bounded variation regularization
(Scientific Online, 2014-10)
The problem of restoring a signal or image is often tantamount to approximating the solution of a linear inverse ill-posed problem. In order to find such an approximation one might regularize the problem by penalizing ...
Psqp: Puzzle Solving By Quadratic Programming
(IEEE Computer SocLos Alamitos, 2017)
Reexamining Nonlinear Structural Equation Modeling Procedures: The Effect of Parallel and Congeneric Measures
(Taylor & Francis, 2015)
The current study examines the performance of the extended unconstrained approach (EXUC) and
the latent moderated structural equation modeling procedure (LMS) in situations where quadratic
and interaction terms are tested ...
Scalable 3D shape retrieval using local features and the signature quadratic form distance
(Springer, 2017)
We present a scalable and unsupervised approach for content-based retrieval on 3D model collections. Our goal is to represent a 3D shape as a set of discriminative local features, which is important to maintain robustness ...
Solving the mean–variance customer portfolio in Markov chains using iterated quadratic/Lagrange programming: A credit-card customer limits approach
(ELSEVIER, 2015-03-09)
In this paper we present a new mean–variance customer portfolio optimization algorithm for a class of ergodic finite controllable Markov chains. In order to have a realistic result we propose an iterated two-step method ...
Effective results on representations of quadratic forms
(AMERICAN MATHEMATICAL SOCIETY, 2004)