Transmission of visible light through oxidized copper films: feasibility of using a spectral projected gradient method

Projected Gradient ◽

Augmented Lagrangian Algorithms Based on the Spectral Projected Gradient Method for Solving Nonlinear Programming Problems

Journal of Optimization Theory and Applications ◽

10.1007/s10957-004-5720-5 ◽

2004 ◽

Vol 123 (3) ◽

pp. 497-517 ◽

Cited By ~ 14

Author(s):

M. A. Diniz-Ehrhardt ◽

M. A. Gomes-Ruggiero ◽

J. M. Mart�nez ◽

S. A. Santos

Keyword(s):

Nonlinear Programming ◽

Gradient Method ◽

Augmented Lagrangian ◽

Projected Gradient ◽

Spectral Projected Gradient ◽

Augmented Lagrangian Algorithms

On the Application of the Spectral Projected Gradient Method in Image Segmentation

Journal of Mathematical Imaging and Vision ◽

10.1007/s10851-015-0591-y ◽

2015 ◽

Vol 54 (1) ◽

pp. 106-116 ◽

Cited By ~ 14

Author(s):

Laura Antonelli ◽

Valentina De Simone ◽

Daniela di Serafino

Keyword(s):

Image Segmentation ◽

Gradient Method ◽

Projected Gradient ◽

Solving bound constrained optimization via a new nonmonotone spectral projected gradient method

Applied Numerical Mathematics ◽

10.1016/j.apnum.2007.07.007 ◽

2008 ◽

Vol 58 (9) ◽

pp. 1340-1348 ◽

Cited By ~ 5

Author(s):

Zhensheng Yu

Keyword(s):

Constrained Optimization ◽

Gradient Method ◽

Projected Gradient ◽

Bound Constrained Optimization ◽

Non-monotone spectral projected gradient method applied to full waveform inversion

Geophysical Prospecting ◽

10.1111/j.1365-2478.2006.00554.x ◽

2006 ◽

Vol 54 (5) ◽

pp. 525-534 ◽

Cited By ~ 5

Author(s):

Noam Zeev ◽

Olga Savasta ◽

Debora Cores

Keyword(s):

Gradient Method ◽

Waveform Inversion ◽

Full Waveform Inversion ◽

Projected Gradient ◽

Full Waveform ◽

A nonmonotone spectral projected gradient method for tensor eigenvalue complementarity problems

Numerical Algebra Control & Optimization ◽

10.3934/naco.2020042 ◽

2020 ◽

Vol 10 (4) ◽

pp. 425-437

Author(s):

Wanbin Tong ◽

◽

Hongjin He ◽

Chen Ling ◽

Liqun Qi

Keyword(s):

Gradient Method ◽

Complementarity Problems ◽

Projected Gradient ◽

Spectral Projected Gradient ◽

Tensor Eigenvalue

Partial spectral projected gradient method with active-set strategy for linearly constrained optimization

Numerical Algorithms ◽

10.1007/s11075-009-9289-9 ◽

2009 ◽

Vol 53 (1) ◽

pp. 23-52 ◽

Cited By ~ 6

Author(s):

Marina Andretta ◽

Ernesto G. Birgin ◽

J. M. Martínez

Keyword(s):

Constrained Optimization ◽

Gradient Method ◽

Active Set ◽

Projected Gradient ◽

Linearly Constrained Optimization ◽

Active Set Strategy ◽

Linearly Constrained ◽

Spectral projected gradient method for stochastic optimization

Journal of Global Optimization ◽

10.1007/s10898-018-0682-6 ◽

2018 ◽

Vol 73 (1) ◽

pp. 59-81 ◽

Cited By ~ 1

Author(s):

Nataša Krejić ◽

Nataša Krklec Jerinkić

Keyword(s):

Stochastic Optimization ◽

Gradient Method ◽

Projected Gradient ◽

Energy Minimization of Point Charges on a Sphere with a Spectral Projected Gradient Method

International Journal of Scientific and Engineering Research ◽

10.14299/ijser.2012.05.01 ◽

2012 ◽

Vol 3 (5) ◽

pp. 1-3 ◽

Cited By ~ 3

Author(s):

Halima LAKHBAB ◽

Souad EL BERNOUSSI ◽

Abderrahmane EL HARIF

Keyword(s):

Gradient Method ◽

Energy Minimization ◽

Projected Gradient ◽

A multivariate spectral projected gradient method for bound constrained optimization

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2010.10.023 ◽

2011 ◽

Vol 235 (8) ◽

pp. 2263-2269 ◽

Cited By ~ 5

Author(s):

Zhensheng Yu ◽

Jing Sun ◽

Yi Qin

Keyword(s):

Constrained Optimization ◽

Gradient Method ◽

Projected Gradient ◽

Bound Constrained Optimization ◽

Spectral Projected Gradient Method with Inexact Restoration for Minimization with Nonconvex Constraints

SIAM Journal on Scientific Computing ◽

10.1137/070707828 ◽

2009 ◽

Vol 31 (3) ◽

pp. 1628-1652 ◽

Cited By ~ 10

Author(s):

M. A. Gomes-Ruggiero ◽

J. M. Martínez ◽

S. A. Santos

Keyword(s):

Gradient Method ◽

Projected Gradient ◽

Spectral Projected Gradient ◽

Inexact Restoration ◽

Nonconvex Constraints