Results 21 to 30 of about 3,753,786 (301)
Fast iterative solvers for PDE-constrained optimization problems [PDF]
, 2013 In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arising from PDE-constrained optimization problems. In order to do this, we exploit saddle point theory, as this is the form of the matrix systems we wish to ...
Pearson, John W
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Modifications of the Limited Memory BFGS Algorithm for Large-scale Nonlinear Optimization [PDF]
, 2005 In this paper we present two new numerical methods for unconstrained large-scale optimization. These methods apply update formulae, which are derived by considering different techniques of approximating the objective function.
June, Leong Wah, Hassan, Malik Abu
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Sensors, 2023 This paper presents a novel approach to reducing undesirable coupling in antenna arrays using custom-designed resonators and inverse surrogate modeling.
Saeed Roshani +6 more
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Multi-Objective Numerical Optimization Applied to Aircraft Design [PDF]
, 2008 Aircraft design is a very complex process because several disciplines are involved at the same time: aerodynamics, structures, performances, propulsion, costs. From this point of view, the real aircraft is a compromise between several requirements, often
Grasso, Francesco
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Design optimization of permanent magnet actuators. [PDF]
, 1992 This study describes the design optimization of permanent actuators, of both rotary and linear topologies. Parameter scanning, constrained single and multi-criterion optimization techniques are developed, with due emphasis on the efficient ...
Widdowson, G P
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Stochastic programming with multivariate second order stochastic dominance constraints with applications in portfolio optimization [PDF]
, 2014 In this paper we study optimization problems with multivariate stochastic dominance constraints where the underlying functions are not necessarily linear. These problems are important in multicriterion decision making, since each component of vectors can
Xu, Huifu +2 more
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Numerical Optimization Methods in Economics [PDF]
, 2008 Optimization problems are ubiquitous in economics. Many of these problems are sufficiently complex that they cannot be solved analytically. Instead economists need to resort to numerical methods. This article presents the most commonly used methods for both unconstrained and constrained optimization problems in economics; it emphasizes the solid ...
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On convergence of the maximum block improvement method [PDF]
, 2015 . The MBI (maximum block improvement) method is a greedy approach to solving optimization problems where the decision variables can be grouped into a finite number of blocks. Assuming that optimizing over one block of variables while fixing all others is
Shuzhong Zhang +5 more
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An Effective Optimization Method for Machine Learning Based on ADAM
Applied Sciences, 2020 A machine is taught by finding the minimum value of the cost function which is induced by learning data. Unfortunately, as the amount of learning increases, the non-liner activation function in the artificial neural network (ANN), the complexity of the ...
Dokkyun Yi, Jaehyun Ahn, Sangmin Ji
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Numerical Analysis and Optimization
AxiomsThis Editorial introduces this Special Issue of Axioms, which collates 10 articles showcasing the latest research related to problems in the two major scientific fields named in its title: “Numerical Analysis and Optimization” [...]
Milena J. Petrovic +2 more
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