How Active is Active Learning: Value Function Method Versus an Approximation Method
Sign Up to like & getrecommendations! Published in 2018 at "Computational Economics"
DOI: 10.1007/s10614-020-09968-2
Abstract: In a previous paper Amman et al. (Macroecon Dyn, 2018) compare the two dominant approaches for solving models with optimal experimentation (also called active learning), i.e. the value function and the approximation method. By using… read more here.
Keywords: value function; approximation method; active learning;
Application of the sequential parametric convex approximation method to the design of robust trusses
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Global Optimization"
DOI: 10.1007/s10898-016-0460-2
Abstract: We study an algorithm recently proposed, which is called sequential parametric approximation method, that finds the solution of a differentiable nonconvex optimization problem by solving a sequence of differentiable convex approximations from the original one.… read more here.
Keywords: sequential parametric; approximation method; method; design robust ... See more keywords
The viscosity approximation method for multivalued G-nonexpansive mappings in Hadamard spaces endowed with graphs
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Fixed Point Theory and Applications"
DOI: 10.1007/s11784-020-00829-x
Abstract: Using the viscosity approximation method introduced by Moudafi (J Math Anal Appl 241:46–55, 2000), we can obtain strong convergence theorems for monotone increasing G-nonexpansive mappings in Hadamard spaces endowed with graphs. We also give sufficient… read more here.
Keywords: approximation method; spaces endowed; hadamard spaces; mappings hadamard ... See more keywords
Nonlinear approximation method of vehicle velocity Vt and statistical population of experimental cases.
Sign Up to like & getrecommendations! Published in 2017 at "Forensic science international"
DOI: 10.1016/j.forsciint.2017.10.032
Abstract: In car crash analysis three calculations methods can be distinguished: analytical (Campbell, McHenry, Strother, Prasad, Crash3 etc.), comparative and graphical (Lindquist et al., 2003; Prasad, 1990; Sharma et al., 2007; Wach and Unarski, 2006; Żuchowski,… read more here.
Keywords: vehicle velocity; velocity statistical; method; nonlinear approximation ... See more keywords
Solutions and conserved quantities of Biswas–Milovic equation by using the rapidly convergent approximation method
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DOI: 10.1016/j.ijleo.2018.08.046
Abstract: Abstract This work deals with an application of a rapidly convergent approximation method in its revised form to get some exact solutions of Biswas–Milovic equation with dual-power law nonlinearity. Some theorems regarding solutions obtained here… read more here.
Keywords: conserved quantities; rapidly convergent; approximation method; milovic equation ... See more keywords
Asymptotic approximation method of force reconstruction: Proof of concept
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DOI: 10.1016/j.ymssp.2017.01.022
Abstract: Abstract An important problem in engineering is the determination of the system input based on the system response. This type of problem is difficult to solve as it is often ill-defined, and produces inaccurate or… read more here.
Keywords: reconstruction; method; method force; asymptotic approximation ... See more keywords
η-Approximation Method for Non-convex Multiobjective Variational Problems
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DOI: 10.1080/01630563.2017.1314970
Abstract: ABSTRACT In this paper, we use the η-approximation method for a class of non-convex multiobjective variational problems with invex functionals. In this approach, for the considered multiobjective variational problem, the associated η-approximated multiobjective variational problem… read more here.
Keywords: convex multiobjective; variational problem; non convex; multiobjective variational ... See more keywords
An Extended Thin Approximation Method to Simulate Screening Current Induced in REBCO Coils
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Magnetics"
DOI: 10.1109/tmag.2017.2752083
Abstract: Superconducting magnets wound with second-generation high-temperature superconductors, i.e., REBa2Cu3O7–x (REBCO, RE = Rare Earth) tapes, are desired to apply high magnetic field nuclear magnetic resonance, MRI, and accelerators. However, a major problem for practical application… read more here.
Keywords: screening current; thin approximation; method; induced rebco ... See more keywords
An Approximation Method for Variational Inequality with Uncertain Variables
Sign Up to like & getrecommendations! Published in 2023 at "Advances in Mathematical Physics"
DOI: 10.1155/2023/5127277
Abstract: In this paper, a Stieltjes integral approximation method for uncertain variational inequality problem (UVIP) is studied. Firstly, uncertain variables are introduced on the basis of variational inequality. Since the uncertain variables are based on nonadditive… read more here.
Keywords: problem; variational inequality; approximation method; uncertain variables ... See more keywords
An approximation method for evaluating the reliability of a dynamic k-out-of-n:F system subjected to cyclic alternating operation conditions
Sign Up to like & getrecommendations! Published in 2017 at "Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability"
DOI: 10.1177/1748006x16689541
Abstract: This article extends the finite Markov chain imbedding approach to evaluate the system reliability of a dynamic k-out-of-n:F system operating under two cyclic alternating conditions, and this article presents a method to obtain the optimal… read more here.
Keywords: dynamic system; system; cyclic alternating; reliability dynamic ... See more keywords
An evolutionary algorithm based on approximation method and related techniques for solving bilevel programming problems
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DOI: 10.1371/journal.pone.0273564
Abstract: In the engineering and economic management fields, optimisation models frequently involve different decision-making levels. These are known as multi-level optimisation problems. Because the decision-making process of such problems are hierarchical, they are also called a… read more here.
Keywords: problem; evolutionary algorithm; optimisation; method ... See more keywords