Comparison of Ozone Fluxes over a Maize Field Measured with Gradient Methods and the Eddy Covariance Technique
Sign Up to like & getrecommendations! Published in 2020 at "Advances in Atmospheric Sciences"
DOI: 10.1007/s00376-020-9217-4
Abstract: Ozone (O 3 ) fluxes were measured over a maize field using the eddy covariance (EC) technique and gradient methods. The main objective was to evaluate the performance of the gradient methods for measuring the… read more here.
Keywords: ozone fluxes; agec; method; maize field ... See more keywords
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
Some three-term conjugate gradient methods with the inexact line search condition
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DOI: 10.1007/s10092-018-0258-3
Abstract: The three-term conjugate gradient methods solving large-scale optimization problems are favored by many researchers because of their nice descent and convergent properties. In this paper, we extend some new conjugate gradient methods, and construct some… read more here.
Keywords: three term; gradient methods; term conjugate; conjugate gradient ... See more keywords
Structured Two-Point Stepsize Gradient Methods for Nonlinear Least Squares
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-1434-y
Abstract: In this paper, we present two choices of structured spectral gradient methods for solving nonlinear least squares problems. In the proposed methods, the scalar multiple of identity approximation of the Hessian inverse is obtained by… read more here.
Keywords: structured two; least squares; nonlinear least; point stepsize ... See more keywords
The conjugate gradient methods for solving the generalized periodic Sylvester matrix equations
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Mathematics and Computing"
DOI: 10.1007/s12190-018-01220-3
Abstract: This work is devoted to designing two conjugate gradient methods for the least Frobenius norm solution of the generalized periodic Sylvester matrix equations. When the studied problem is consistent, the first conjugate gradient method can… read more here.
Keywords: generalized periodic; periodic sylvester; sylvester matrix; conjugate gradient ... See more keywords
Convergence Rates of Distributed Two-Time-Scale Gradient Methods under Random Quantization
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.12.192
Abstract: Abstract Motivated by broad applications within engineering and sciences, we study distributed consensus-based gradient methods for solving optimization problems over a network of nodes. A fundamental challenge for solving this problem is the impact of… read more here.
Keywords: random quantization; time scale; gradient methods; two time ... See more keywords
Convergence of Asynchronous Distributed Gradient Methods Over Stochastic Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2017.2730481
Abstract: We consider distributed optimization problems in which a number of agents are to seek the global optimum of a sum of cost functions through only local information sharing. In this paper, we are particularly interested… read more here.
Keywords: asynchronous distributed; stochastic networks; convergence asynchronous; distributed gradient ... See more keywords
Convergence of Limited Communication Gradient Methods
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2017.2743678
Abstract: Distributed optimization increasingly plays a central role in economical and sustainable operation of cyber-physical systems. Nevertheless, the complete potential of the technology has not yet been fully exploited in practice due to communication limitations posed… read more here.
Keywords: quantization set; gradient methods; convergence; communication ... See more keywords
Fenchel Dual Gradient Methods for Distributed Convex Optimization Over Time-Varying Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2019.2901829
Abstract: We develop a family of Fenchel dual gradient methods for solving constrained, strongly convex, but not necessarily smooth multi-agent optimization problems over time-varying networks. The proposed algorithms are constructed on the basis of weighted Fenchel… read more here.
Keywords: time; dual gradient; fenchel dual; gradient methods ... See more keywords