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Nesterov's Method for Convex Optimization

SIAM Review, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Optimization Method and Optimization Platform

2018
Ship hull form optimization is a typical engineering optimization problem, involving a large number of design variables and constraints. In this optimization, the objective function and design variables are of hidden relationship due to its strong nonlinear phenomenon.
Bao-Ji Zhang, Sheng-Long Zhang
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Proximal Methods in Vector Optimization

SIAM Journal on Optimization, 2005
Summary: We consider the vector optimization problem of finding weakly efficient points for maps from a Hilbert space \(X\) to a Banach space \(Y\) with respect to the partial order induced by a closed, convex, and pointed cone \(C\subset Y\) with a nonempty interior.
Henri Bonnel   +2 more
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Frequency Optimized Computation Methods

Journal of Scientific Computing, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Clustering methods: To optimize or to not optimize?

Psychological Methods
Many clustering problems are associated with a particular objective criterion that is sought to be optimized. There are often several methods that can be used to tackle the optimization problem, and one or more of them might guarantee a globally optimal solution.
Michael Brusco   +2 more
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An Optimization Method for Cascaded Filters

Bell System Technical Journal, 1970
Summary: This paper presents a procedure for decomposing an \(n\)th order filter into cascadable second order sections. The procedure is optimal in that it minimizes the maximal response range for the sections within the frequency band of interest. The procedure, based on a modified version of the Bottleneck Assignment Algorithm, describes methods of ...
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Bayesian methods in global optimization

Journal of Global Optimization, 1991
The paper reviews methods which have been proposed for solving global optimization problems in the framework of the Bayesian paradigm. Three main approaches are singled out. In the first approach, called the Random Function Approach, methods are based on the idea of introducing a probabilistic model for the objective function in the form of a random ...
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Solar photovoltaic energy optimization methods, challenges and issues: A comprehensive review

Journal of Cleaner Production, 2021
Firas Basim Ismail   +2 more
exaly  

Optimization Methods

2012
George Lindfield, John Penny
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Assessing the Performance of Interactive Multiobjective Optimization Methods

ACM Computing Surveys, 2022
Bekir Afsar   +2 more
exaly  

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