Non-monotone trust-region algorithms for nonlinear optimization subject to convex constraints

Philippe L. Toint

doi:10.1007/bf02614518

Non-monotone trust-region algorithms for nonlinear optimization subject to convex constraints

Mathematical Programming ◽

10.1007/bf02614518 ◽

1997 ◽

Vol 77 (3) ◽

pp. 69-94 ◽

Cited By ~ 50

Author(s):

Philippe L. Toint

Keyword(s):

Nonlinear Optimization ◽

Trust Region ◽

Convex Constraints ◽

Trust Region Algorithms

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Global Convergence of a Class of Trust Region Algorithms for Optimization Using Inexact Projections on Convex Constraints

SIAM Journal on Optimization ◽

10.1137/0803009 ◽

1993 ◽

Vol 3 (1) ◽

pp. 164-221 ◽

Cited By ~ 31

Author(s):

A. R. Conn ◽

Nick Gould ◽

A. Sartenaer ◽

Ph. L. Toint

Keyword(s):

Global Convergence ◽

Trust Region ◽

Convex Constraints ◽

Trust Region Algorithms

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Research on trust-region algorithms for nonlinear programming

10.2172/5970506 ◽

1991 ◽

Author(s):

J.E. Dennis ◽

R.A. Tapia

Keyword(s):

Nonlinear Programming ◽

Trust Region ◽

Trust Region Algorithms

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Nonsmooth trust region algorithms for locally Lipschitz functions on Riemannian manifolds

IMA Journal of Numerical Analysis ◽

10.1093/imanum/drv043 ◽

2015 ◽

Vol 36 (3) ◽

pp. 1167-1192 ◽

Cited By ~ 12

Author(s):

P. Grohs ◽

S. Hosseini

Keyword(s):

Riemannian Manifolds ◽

Trust Region ◽

Lipschitz Functions ◽

Locally Lipschitz Functions ◽

Trust Region Algorithms ◽

Locally Lipschitz

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Part III Trust-Region Methods for Constrained Optimization with Convex Constraints

Trust Region Methods ◽

10.1137/1.9780898719857.pt3 ◽

2000 ◽

pp. 439-439

Keyword(s):

Constrained Optimization ◽

Trust Region ◽

Trust Region Methods ◽

Convex Constraints

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A robust trust region method for nonlinear optimization with inequality constraint

Applied Mathematics and Computation ◽

10.1016/j.amc.2005.10.015 ◽

2006 ◽

Vol 176 (2) ◽

pp. 688-699 ◽

Cited By ~ 2

Author(s):

Ju-liang Zhang

Keyword(s):

Nonlinear Optimization ◽

Trust Region Method ◽

Trust Region ◽

Inequality Constraint ◽

Region Method

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Riemannian Newton and trust‐region algorithms for analytic rotation in exploratory factor analysis

British Journal of Mathematical and Statistical Psychology ◽

10.1111/bmsp.12211 ◽

2020 ◽

Author(s):

Yang Liu

Keyword(s):

Factor Analysis ◽

Exploratory Factor Analysis ◽

Trust Region ◽

Trust Region Algorithms

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On the convergence of trust region algorithms for unconstrained minimization without derivatives

Computational Optimization and Applications ◽

10.1007/s10589-012-9483-x ◽

2012 ◽

Vol 53 (2) ◽

pp. 527-555 ◽

Cited By ~ 18

Author(s):

M. J. D. Powell

Keyword(s):

Trust Region ◽

Unconstrained Minimization ◽

Trust Region Algorithms

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Global convergence of trust-region algorithms for convex constrained minimization without derivatives

Applied Mathematics and Computation ◽

10.1016/j.amc.2013.06.041 ◽

2013 ◽

Vol 220 ◽

pp. 324-330 ◽

Cited By ~ 4

Author(s):

P.D. Conejo ◽

E.W. Karas ◽

L.G. Pedroso ◽

A.A. Ribeiro ◽

M. Sachine

Keyword(s):

Global Convergence ◽

Trust Region ◽

Constrained Minimization ◽

Trust Region Algorithms

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Optimal Feedforward and Feedback Control of Vortex Shedding Using Trust-Region Algorithms

1st Flow Control Conference ◽

10.2514/6.2002-3076 ◽

2002 ◽

Author(s):

A Ravi ◽

Prasanth Nair ◽

M Tan ◽

W Price

Keyword(s):

Feedback Control ◽

Vortex Shedding ◽

Trust Region ◽

Trust Region Algorithms

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Trust region algorithms for the nonlinear least distance problem

Numerical Algorithms ◽

10.1007/bf02143933 ◽

1995 ◽

Vol 9 (1) ◽

pp. 171-179 ◽

Cited By ~ 6

Author(s):

H. -P. Helfrich ◽

D. Zwick

Keyword(s):

Trust Region ◽

Trust Region Algorithms ◽

Distance Problem

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