OPTIMIZATION METHODS & SOFTWARE

OPTIMIZATION METHODS & SOFTWARE(英文缩写 OPTIM METHOD SOFTW),ISSN 1055-6788,eISSN 1029-4937 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

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历年影响因子趋势

OPTIMIZATION METHODS & SOFTWARE 最新收录文献

1. Tensor methods for finding approximate stationary points of convex functions.
   G N Grapiglia, Yurii Nesterov
   Optimization methods & software 2022 IF: 1.50 Q2 PMID: 40012917

   In this paper, we consider the problem of finding -approximate stationary points of convex functions that are -times differentiable with -Hölder continuous th derivatives. We present tensor methods wi…

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2. Exact gradient methods with memory.
   Mihai I Florea
   Optimization methods & software 2022 IF: 1.50 Q2 PMID: 39906221

   The Inexact Gradient Method with Memory (IGMM) is able to considerably outperform the Gradient Method by employing a piece-wise linear lower model on the smooth part of the objective. However, the aux…

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3. Inducing strong convergence into the asymptotic behaviour of proximal splitting algorithms in Hilbert spaces.
   Radu Ioan Boţ, Ernö Robert Csetnek, Dennis Meier
   Optimization methods & software 2019 IF: 1.50 Q2 PMID: 31057305

   Proximal splitting algorithms for monotone inclusions (and convex optimization problems) in Hilbert spaces share the common feature to guarantee for the generated sequences in general weak convergence…

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4. Proximal extrapolated gradient methods for variational inequalities.
   Yu Malitsky
   Optimization methods & software 2018 IF: 1.50 Q2 PMID: 29348705

   The paper concerns with novel first-order methods for monotone variational inequalities. They use a very simple linesearch procedure that takes into account a local information of the operator. Also, …

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5. Self-consistent gradient flow for shape optimization.
   D Kraft
   Optimization methods & software 2017 IF: 1.50 Q2 PMID: 28670104

   We present a model for image segmentation and describe a gradient-descent method for level-set based shape optimization. It is commonly known that gradient-descent methods converge slowly due to zig-z…

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6. Enhanced Bounding Techniques to Reduce the Protein Conformational Search Space.
   Scott R McAllister, Christodoulos A Floudas
   Optimization methods & software 2009 IF: 1.50 Q2 PMID: 20634970

   The complexity and enormous size of the conformational space that must be explored for the protein tertiary structure prediction problem has led to the development of a wide assortment of algorithmic …

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