نتایج جستجو برای: successive quadratic programming

تعداد نتایج: 403344  

Journal: :IMA Journal of Numerical Analysis 1991

Journal: :Journal of Global Optimization 2011

Journal: :Journal of Combinatorial Optimization 2022

The radius of the outer Dikin ellipsoid intersection m ellipsoids due to Fu et al. (J. Comb. Optim., 2, 29-50, 1998) is corrected from $$\sqrt{m^2+m}$$ . approximation bound for general convex quadratic constrained nonconvex program correspondingly corrected.

Journal: :iranian journal of numerical analysis and optimization 0
reza ghanbari aghileh heydari saeed nezhadhosein

in this paper, a two-phase algorithm, namely ivns, is proposed for solving nonlinear optimal control problems. in each phase of the algorithm, we use a variable neighborhood search (vns), which performs a uniform distribution in the shaking step and the successive quadratic programming, as the local search step. in the first phase, vns starts with a completely random initial solution of control...

2010
Panagiotis Patrinos Haralambos Sarimveis

In this paper we study the problem of parametric minimization of convex piecewise quadratic functions. Our study provides a unifying framework for convex parametric quadratic and linear programs. Furthermore, it extends parametric programming algorithms to problems with piecewise quadratic cost functions, paving the way for new applications of parametric programming in dynamic programming and o...

2015
Dijana Plantak Vukovac Tatjana Novosel-Herceg Tihomir Orehovacki

Telehealth, as a provision of health care at a distance by usage of ICT, has also found its application in speech-language pathology (SLP) services. There are many advantages of remote usage of SLP services like extending the treatment or reaching remotely located people who need a treatment at affordable cost. While in the developed countries SLP telepractice is becoming common, there is littl...

1998
Serge Kruk Henry Wolkowicz

We follow the popular approach for unconstrained minimization, i.e. we develop a local quadratic model at a current approximate minimizer in conjunction with a trust region. We then minimize this local model in order to nd the next approximate minimizer. Asymptot-ically, nding the local minimizer of the quadratic model is equivalent to applying Newton's method to the stationarity condition. For...

Journal: :European Journal of Operational Research 2012

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