A dynamical view of nonlinear conjugate gradient methods with applications to FFT-based computational micromechanics
Sign Up to like & getrecommendations! Published in 2020 at "Computational Mechanics"
DOI: 10.1007/s00466-020-01849-7
Abstract: For fast Fourier transform (FFT)-based computational micromechanics, solvers need to be fast, memory-efficient, and independent of tedious parameter calibration. In this work, we investigate the benefits of nonlinear conjugate gradient (CG) methods in the context… read more here.
Keywords: fft based; computational micromechanics; conjugate gradient; based computational ... See more keywords
A Modified Nonlinear Conjugate Gradient Algorithm for Large-Scale Nonsmooth Convex Optimization
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DOI: 10.1007/s10957-020-01636-7
Abstract: Nonlinear conjugate gradient methods are among the most preferable and effortless methods to solve smooth optimization problems. Due to their clarity and low memory requirements, they are more desirable for solving large-scale smooth problems. Conjugate… read more here.
Keywords: large scale; nonlinear conjugate; scale nonsmooth; conjugate gradient ... See more keywords
Global Convergence of a New Coefficient Nonlinear Conjugate Gradient Method
Sign Up to like & getrecommendations! Published in 2018 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v11.i3.pp1188-1193
Abstract: Nonlinear conjugate gradient (CG) methods are widely used in optimization field due to its efficiency for solving a large scale unconstrained optimization problems. Many studies and modifications have been developed in order to improve the… read more here.
Keywords: nonlinear conjugate; global convergence; method; new coefficient ... See more keywords