Results 61 to 70 of about 1,344 (121)
A filled function method for nonlinear systems of equalities and inequalities
, 2012 In this paper a filled function method is suggested for solving nonlinear systems of equalities and inequalities. Firstly, the original problem is reformulated into an equivalent constrained global optimization problem.
Z. Wan, Liuyang Yuan, Jiawei Chen
semanticscholar +1 more source
, 2011 A new smoothing function of the well known Fischer-Burmeister function is given. Based on this new function, a smoothing Newton-type method is proposed for solving second-order cone programming.
Liang Fang, Zengzhe Feng
semanticscholar +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
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Franklin OpenThe conjugate gradient (CG) method is widely employed for solving unconstrained optimization problems due to its independence from second derivatives or their approximations. It has found extensive applications in fields such as image restoration, neural
Ahmad Alhawarat +4 more
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Discrete time pontryagin principles in banach spaces
, 2017 The aim of this paper is to establish Pontryagin's principles in a dicrete-time infinite-horizon setting when the state variables and the control variables belong to infinite dimensional Banach spaces. In comparison with previous results on this question,
Bachir, Mohammed, Blot, Joël
core
PONTRYAGIN PRINCIPLES IN INFINITE HORIZON IN PRESENCE OF ASYMPTOTICAL CONSTRAINTS
, 2015 We establish necessary conditions of optimality for discrete-time infinite-horizon optimal control in presence of constraints at infinity. These necessary conditions are in form of weak and strong Pontryagin principles.
Blot, Joël, Ngo, Thoi-Nhan
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A fast continuous time approach with time scaling for nonsmooth convex optimization. [PDF]
Adv Contin Discret Model, 2022 Boţ RI, Karapetyants MA.
europepmc +1 more source
Fast Augmented Lagrangian Method in the convex regime with convergence guarantees for the iterates. [PDF]
Math Program, 2023 Boţ RI, Csetnek ER, Nguyen DK.
europepmc +1 more source
Infinite Dimensional Multipliers and Pontryagin Principles for Discrete-Time Problems
, 2016 The aim of this paper is to provide improvments to Pontryagin principles in infinite-horizon discrete-time framework when the space of states and of space of controls are infinite-dimensional.
Bachir, Mohammed, Blot, Joel
core +2 more sources
Local convergence of tensor methods. [PDF]
Math Program, 2022 Doikov N, Nesterov Y.
europepmc +1 more source