Improving the accuracy of the gradient method for determining soil carbon dioxide efflux
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2016jg003530
Abstract: NSF [1417101, 1331408]; Marie Curie International Outgoing Fellowship within the Seventh European Community, DIESEL project [625988] read more here.
Keywords: determining soil; accuracy gradient; gradient method; improving accuracy ... See more keywords
An accelerated minimal gradient method with momentum for strictly convex quadratic optimization
Sign Up to like & getrecommendations! Published in 2021 at "BIT Numerical Mathematics"
DOI: 10.1007/s10543-021-00886-9
Abstract: In this article we address the problem of minimizing a strictly convex quadratic function using a novel iterative method. The new algorithm is based on the well-known Nesterov’s accelerated gradient method. At each iteration of… read more here.
Keywords: strictly convex; accelerated minimal; gradient method; convex quadratic ... See more keywords
Incremental Gradient Method for Karcher Mean on Symmetric Cones
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-016-1000-4
Abstract: In this paper, we deal with the minimization problem for computing Karcher mean on a symmetric cone. The objective of this minimization problem consists of the sum of squares of the Riemannian distances with many… read more here.
Keywords: gradient method; incremental gradient; karcher mean; mean symmetric ... See more keywords
On the Convergence Analysis of the Optimized Gradient Method
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-016-1018-7
Abstract: This paper considers the problem of unconstrained minimization of smooth convex functions having Lipschitz continuous gradients with known Lipschitz constant. We recently proposed the optimized gradient method for this problem and showed that it has… read more here.
Keywords: gradient method; method; optimized gradient; function ... See more keywords
Conditional Gradient Method for Double-Convex Fractional Programming Matrix Problems
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-017-1203-3
Abstract: We consider the problem of optimizing the ratio of two convex functions over a closed and convex set in the space of matrices. This problem appears in several applications and can be classified as a… read more here.
Keywords: convex fractional; double convex; fractional programming; gradient method ... See more keywords
Development of a nanoparticle-based gradient method for simple and fast quantification of bacteria-nanoparticle conjugates
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Nanoparticle Research"
DOI: 10.1007/s11051-020-04828-4
Abstract: Nanoparticles are widely used to separate and detect bacteria by immunoassay techniques. However, there is a great need to develop a new low cost, easy-handling, and fast bacteria quantification method in order to give fast… read more here.
Keywords: gradient method; method; nanoparticle based; quantification ... See more keywords
Gradient method with multiple damping for large-scale unconstrained optimization
Sign Up to like & getrecommendations! Published in 2019 at "Optimization Letters"
DOI: 10.1007/s11590-018-1247-9
Abstract: Gradient methods are popular due to the fact that only gradient of the objective function is required. On the other hand, the methods can be very slow if the objective function is very ill-conditioned. One… read more here.
Keywords: method multiple; gradient method; multiple damping; function ... See more keywords
Stable equilibrium configuration of two bar truss by an efficient nonmonotone global Barzilai–Borwein gradient method in a fuzzy environment
Sign Up to like & getrecommendations! Published in 2017 at "Afrika Matematika"
DOI: 10.1007/s13370-016-0451-y
Abstract: The stable equilibrium configuration of structures is a main goal in structural optimization. This goal may be achieved through minimizing the potential energy function. In the real world, sometimes, the input data and parameters of… read more here.
Keywords: gradient method; fuzzy environment; barzilai borwein;
A Preconditioned Conjugate Gradient Method with Active Set Strategy for $$\ell _1$$ℓ1-Regularized Least Squares
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Operations Research Society of China"
DOI: 10.1007/s40305-018-0202-x
Abstract: In the paper, we consider the $$\ell _1$$ℓ1-regularized least square problem which has been intensively involved in the fields of signal processing, compressive sensing, linear inverse problems and statistical inference. The considered problem has been… read more here.
Keywords: gradient method; ell regularized; conjugate gradient; regularized least ... See more keywords
A sequential conjugate gradient method to estimate heat flux for nonlinear inverse heat conduction problem
Sign Up to like & getrecommendations! Published in 2020 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2020.107798
Abstract: Abstract In this paper, a sequential conjugate gradient method is presented to reconstruct the undetermined surface heat flux for nonlinear inverse heat conduction problem (IHCP). This modified method combines the merits of sequential function specification… read more here.
Keywords: gradient method; method; conjugate gradient; heat ... See more keywords
An adaptive mini-batch stochastic gradient method for AUC maximization
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.08.041
Abstract: Abstract Due to the wide applications in imbalanced learning, directly optimizing AUC has gained increasing interest in recent years. Compared with traditional batch learning methods, which often suffer from poor scalability, it is more challenging… read more here.
Keywords: gradient method; method auc; batch; gradient ... See more keywords