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Titlebook: Numerical Computations: Theory and Algorithms; Third International Yaroslav D. Sergeyev,Dmitri E. Kvasov Conference proceedings 2020 Sprin

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发表于 2025-3-21 18:14:16 | 显示全部楼层 |阅读模式
书目名称Numerical Computations: Theory and Algorithms
副标题Third International
编辑Yaroslav D. Sergeyev,Dmitri E. Kvasov
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Numerical Computations: Theory and Algorithms; Third International  Yaroslav D. Sergeyev,Dmitri E. Kvasov Conference proceedings 2020 Sprin
描述The two-volume set LNCS 11973 and 11974 constitute revised selected papers from the Third International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2019, held in Crotone, Italy, in June 2019. .This volume, LNCS 11974, consists of 19 full and 32 short papers chosen among regular papers presented at the the Conference including also the paper of the winner (Lorenzo Fiaschi, Pisa, Italy) of The Springer Young Researcher Prize for the best NUMTA 2019 presentation made by a young scientist. ..The papers in part II explore the advanced research developments in such interconnected fields as local and global optimization, machine learning, approximation, and differential equations. A special focus is given to advanced ideas related to methods and applications using emerging computational paradigms..
出版日期Conference proceedings 2020
关键词applied computing; applied mathematics; approximation; Computational fluid dynamics; Cross-computing too
版次1
doihttps://doi.org/10.1007/978-3-030-40616-5
isbn_softcover978-3-030-40615-8
isbn_ebook978-3-030-40616-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
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The Approximate Synthesis of Optimal Control for Heterogeneous Discrete Systems with Intermediate Crm has its own goal. A method of the approximate synthesis of optimal control is constructed on the basis of Krotov-type sufficient optimality conditions obtained for such a model in two forms. A theorem on the convergence of the method with respect to a function is proved, and an illustrative example is given.
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Generalizations of the Intermediate Value Theorem for Approximating Fixed Points and Zeros of Continfixed points and zeros of continuous functions are given. These bisection methods require only algebraic signs of the function values and are of major importance for tackling problems with imprecise (not exactly known) information.
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Objective and Violation Upper Bounds on a DIRECT-Filter Method for Global Optimizationy optimal ones. A heuristic to avoid the exploration of the hyperrectangles that have been mostly divided is also implemented. Preliminary numerical experiments are carried out to show the effectiveness of the imposed upper bounds on the objective and violation as well as the goodness of the heuristic.
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On Polyhedral Estimates of Reachable Sets of Discrete-Time Systems with Uncertain Matrices and Integ or parallelotope-valued estimates of the reachable sets in the “initial” space. Evolution of the estimates in the “extended” space is determined by recurrence relations. All the estimates can be calculated by explicit formulas. The main attention is paid to internal estimates. Illustrative examples are presented.
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Numerical Simulation of Hyperbolic Conservation Laws Using High Resolution Schemes with the Indulgenroximation and preserves the basic properties of the solution of the problem under consideration. The new limiters are further applied to several real-life problems like the advection problem to demonstrate that the optimized schemes ensure better results. Simulation results are included wherever required.
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Learning Aerial Image Similarity Using Triplet Networksarity measure. The proposed architecture incorporates VGG16 network base layers. Top layer structure, loss function and performance metrics being suggested by authors. Images were matched to the maps from satellite photo. The matching results from proposed neural network architecture were compared and evaluated against Pearson correlation.
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Conference proceedings 2020ted fields as local and global optimization, machine learning, approximation, and differential equations. A special focus is given to advanced ideas related to methods and applications using emerging computational paradigms..
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