Optimization of Finite Dimensional Structures, Ohsaki, Makoto
Автор: Hiroshi Konno; Phan Thien Thach; Hoang Tuy Название: Optimization on Low Rank Nonconvex Structures ISBN: 0792343085 ISBN-13(EAN): 9780792343080 Издательство: Springer Рейтинг: Цена: 36197.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This work is devoted to global optimization problems with special structures. Most of these problems, though highly nonconvex, can be characterized by the property that they reduce to convex minimization problems when some of the variables are fixed.
Описание: Addresses the topical, crucial and original subject of parameter identification and optimization within multiscale modeling methods. This book presents an area of research that enables the design of materials and structures with better quality, strength and performance parameters. It describes micro and nano scale models along with case studies.
Автор: Monique Florenzano; P. Gourdel; Cuong Le Van Название: Finite Dimensional Convexity and Optimization ISBN: 3642625703 ISBN-13(EAN): 9783642625701 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses convex analysis, the basic underlying structure of argumentation in economic theory. The text is aimed at senior undergraduate students, graduate students, and specialists of mathematical programming who are undertaking research into applied mathematics and economics.
Автор: Dhara, Anulekha Название: Optimality Conditions in Convex Optimization ISBN: 1439868220 ISBN-13(EAN): 9781439868225 Издательство: Taylor&Francis Рейтинг: Цена: 31390.00 р. Наличие на складе: Нет в наличии.
Автор: Nikeghbali Название: High-Dimensional Optimization and Probability ISBN: 3031008316 ISBN-13(EAN): 9783031008313 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents extensive research devoted to a broad spectrum of mathematics with emphasis on interdisciplinary aspects of Optimization and Probability. Chapters also emphasize applications to Data Science, a timely field with a high impact in our modern society. The discussion presents modern, state-of-the-art, research results and advances in areas including non-convex optimization, decentralized distributed convex optimization, topics on surrogate-based reduced dimension global optimization in process systems engineering, the projection of a point onto a convex set, optimal sampling for learning sparse approximations in high dimensions, the split feasibility problem, higher order embeddings, codifferentials and quasidifferentials of the expectation of nonsmooth random integrands, adjoint circuit chains associated with a random walk, analysis of the trade-off between sample size and precision in truncated ordinary least squares, spatial deep learning, efficient location-based tracking for IoT devices using compressive sensing and machine learning techniques, and nonsmooth mathematical programs with vanishing constraints in Banach spaces. The book is a valuable source for graduate students as well as researchers working on Optimization, Probability and their various interconnections with a variety of other areas. Chapter 12 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Автор: Zhigljavsky, Anatoly Zilinskas, Antanas Название: Bayesian and High-Dimensional Global Optimization ISBN: 3030647110 ISBN-13(EAN): 9783030647117 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Accessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization, computer science, operations research, management science, engineering and other applied areas interested in solving optimization problems.
Описание: The papers cover the application of topological design optimization to fluid-solid interaction problems, acoustics problems, and to problems in biomechanics, as well as to other multiphysics problems.
Автор: Pablo Andr?s Mu?oz-Rojas Название: Optimization of Structures and Components ISBN: 3319007165 ISBN-13(EAN): 9783319007168 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents innovative formulations and applied procedures for sensitivity analysis and structural design optimization. Coverage ranges from recent developments to the use of evolutionary algorithms and meta-models to solve engineering problems.
Описание: Modelling, Solving and Applications for Topology Optimization of Continuum Structures: ICM Method Based on Step Function provides an introduction to the history of structural optimization, along with a summary of the existing state-of-the-art research on topology optimization of continuum structures. It systematically introduces basic concepts and principles of ICM method, also including modeling and solutions to complex engineering problems with different constraints and boundary conditions. The book features many numerical examples that are solved by the ICM method, helping researchers and engineers solve their own problems on topology optimization. This valuable reference is ideal for researchers in structural optimization design, teachers and students in colleges and universities working, and majoring in, related engineering fields, and structural engineers.
Автор: Sergei Silvestrov; Milica Ran?i? Название: Engineering Mathematics II ISBN: 3319421042 ISBN-13(EAN): 9783319421049 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
1 Classification of Low Dimensional 3-Lie Superalgebras: V. Abramov and P. Lдtt.- 2 Semi-Commutative Galois Extension and Reduced Quantum Plane: V. Abramov and Md. Raknuzzaman.- 3 Valued Custom Skew Fields with Generalised PBW Property from Power Series Construction: L. Hellstrцm.- 4 Computing Burchnall-Chaundy Polynomials with Determinants: J. Richter and S. Silvestrov.- 5 Centralizers and Pseudo-Degree Functions: J. Richter.- 6 Asymptotic Expansions for Moment Functionals of Perturbed Discrete Time Semi-Markov Processes: M. Petersson.- 7 Asymptotics for Quasi-Stationary Distributions of Perturbed Discrete Time Semi-Markov Processes: M. Petersson.- 8 PageRank, a Look at Small Changes in a Line of Nodes and the Complete Graph: Ch. Engstrцm and S. Silvestrov.- 9 PageRank, Connecting a Line of Nodes with a Complete Graph: Ch. Engstrцm and S. Silvestrov.- 10 Output Rate Variation Problem: Some Heuristic Paradigms and Dynamic Programming: G.B. Thapa and S. Silvestrov.- 11 Lp-Boundedness of Two Singular Integral Operators of Convolution Type: J. Musonda and S. Kaijser.- 12 Crossed Product Algebras for Piece-Wise Constant Functions: A.B. Tumwesigye et al.- 13 Linear Classification of Data with Support Vector Machines and Generalized Support Vector Machines: Xiaomin Qi et al.- 14 Linear and Nonlinear Classifiers of Data with Support Vector Machines and Generalized Support Vector Machines: X. Qi et al.- 15 Common Fixed Points of Weakly Commuting Multivalued Mappings on a Domain of Sets Endowed with Directed Graph: S. Silvestrov and T. Nazir.- 16 Common Fixed Point Results for Family of Generalized Multivalued F-contraction Mappings in Ordered Metric Spaces: T. Nazir and S. Silvestrov.
Автор: Gabriele Eichfelder Название: Variable Ordering Structures in Vector Optimization ISBN: 3642542824 ISBN-13(EAN): 9783642542824 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Variable Ordering Structures in Vector Optimization
Автор: Pablo Andr?s Mu?oz-Rojas Название: Optimization of Structures and Components ISBN: 3319345133 ISBN-13(EAN): 9783319345130 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents innovative formulations and applied procedures for sensitivity analysis and structural design optimization. Coverage ranges from recent developments to the use of evolutionary algorithms and meta-models to solve engineering problems.
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