Описание: Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.
Описание: Introduces an innovative reliability-based method for risk assessment in geotechnical engineering. Building on the Finite Element Mehtod, the Random Finite Element Method presented in this book allows the reader to create a better model for analyzing the properties and possible failure of a slope, mine shaft, foundation, embankment, or surface soil. By better modeling the spatially variable nature of soil and rock in the real world, the method presents a more accurate simulation which leads to safer designs. After introducing the threory the book presents 9 examples of the method in practice, utilizing the included software to demonstrate its use in the evaluation and design stages.
Автор: Rylander, Thomas, Ingelstrom, Par, Bondeson, Ander Название: Computational Electromagnetics ISBN: 146145350X ISBN-13(EAN): 9781461453505 Издательство: Springer Рейтинг: Цена: 7836 р. Наличие на складе: Поставка под заказ.
Описание: In its expanded second edition, this book describes sources of errors in numerical computations, and provides tools for assessing the accuracy of numerical methods and their solutions. Includes MATLAB programs and detailed description of practical issues.
Описание: Unlike traditional computing, Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. This book presents a selected collection of contributions on a focused treatment of important elements of CI, centred on its key element: learning. All the contributors of this volume have direct bearing with this issue. From fundamentals to advanced systems as Multilayer Perceptron Artificial Neural Networks (ANN-MLP), Radial Basis Function Networks (RBF) and its relations with Fuzzy Sets and Support Vector Machines theory; and on to several critical applications in Engineering and Manufacturing. These are among applications where CI have excellent potential.This volume has specially taken Neural Networks, key elements of CI, to the next level. Both novice and expert readers can benefit from this timely addition to CI based literature. Towards that goal, the editors and the authors have made critical contributions and succeeded. They have paved the road for learning paradigms towards the solution of many real-world problems.
Автор: Devadoss Satyan L., O`Rourke Joseph Название: Discrete and Computational Geometry ISBN: 0691145539 ISBN-13(EAN): 9780691145532 Издательство: Wiley Рейтинг: Цена: 7508 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discrete geometry is a relatively new development in pure mathematics, while computational geometry is an emerging area in applications-driven computer science. Their intermingling has yielded exciting advances in recent years, yet what has been lacking until now is an undergraduate textbook that bridges the gap between the two." Discrete and Computational Geometry" offers a comprehensive yet accessible introduction to this cutting-edge frontier of mathematics and computer science.This book covers traditional topics such as convex hulls, triangulations, and Voronoi diagrams, as well as more recent subjects like pseudotriangulations, curve reconstruction, and locked chains. It also touches on more advanced material, including Dehn invariants, associahedra, quasigeodesics, Morse theory, and the recent resolution of the Poincare conjecture. Connections to real-world applications are made throughout, and algorithms are presented independently of any programming language. This richly illustrated textbook also features numerous exercises and unsolved problems.The essential introduction to discrete and computational geometry Covers traditional topics as well as new and advanced material Features numerous full-color illustrations, exercises, and unsolved problems Suitable for sophomores in mathematics, computer science, engineering, or physics Rigorous but accessible An online solutions manual is available (for teachers only). To obtain access, please e-mail: Vickie_Kearn@press.princeton.edu
Описание: This volume contains chapters presenting applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering. It also includes chapters devoted to cellular automata and support vector machines and different applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe different aspects of imprecise reliability and applications of fuzzy and vague set theory.
Описание: This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in the resent years and chapters devoted to different applications of a genetic algorithm in reliability engineering and to combinations of this algorithm with other computational intelligence techniques. Genetic algorithms are one of the most widely used metaheuristics, inspired by the optimization procedure that exists in nature, the biological phenomenon of evolution.
Описание: (NOTES)This text focuses on the topics which are an essential part of the engineering mathematics course:ordinary differential equations, vector calculus,
linear algebra and partial differential equations. Advantages over competing texts: 1. The text has a large number of examples and problems - a typical section having 25 quality
problems directly related to the text.
2. The authors use a practical engineering approach based upon solving equations. All ideas and definitions are introduced from this basic
viewpoint, which allows engineers in their second year to understand concepts that would otherwise be impossibly abstract.
Partial differential equations are introduced in an
engineering and science context
ased upon modelling of physical problems. A strength of the manuscript is the vast number of applications to real-world problems, each treated completely and in sufficient depth to be
Numerical analysis is introduced in the manuscript at a completely elementary calculus level. In fact, numerics are advertised as just an extension of the
calculus and used generally as enrichment, to help communicate the role of mathematics in engineering applications. 4.
The authors have used and updated the book as a
course text over a 10 year period. 5. Modern outline, as contrasted to the outdated outline by Kreysig and Wylie.
6. This is now a one year course. The text is shorter and
more readable than the current reference type manuals published all at around 1300-1500 pages.
Описание: This book provides an insight in advanced methods and concepts for structural analysis and design against seismic loading. The book consists of 25 chapters dealing with a wide range of timely issues in contemporary Earthquake Engineering. In brief, the topics covered are: collapse assessment, record selection, effect of soil conditions, problems in seismic design, protection of monuments, earth dam structures and liquid containers, numerical methods, lifetime assessment, post-earthquake measures.A common ground of understanding is provided between the communities of Earth Sciences and Computational Mechanics towards mitigating seismic risk. The topic is of great social and scientific interest, due to the large number of scientists and practicing engineers currently working in the field and due to the great social and economic consequences of earthquakes.
Автор: S.P. Venkateshan Название: Computational Methods in Engineering, ISBN: 0124167020 ISBN-13(EAN): 9780124167025 Издательство: Elsevier Science Рейтинг: Цена: 7937 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computational Methods in Engineering brings to light the numerous uses of numerical methods in engineering. It clearly explains the application of these methods mathematically and practically, emphasizing programming aspects when appropriate. By approaching the cross-disciplinary topic of numerical methods with a flexible approach, Computational Methods in Engineering encourages a well-rounded understanding of the subject. This book's teaching goes beyond the text—detailed exercises (with solutions), real examples of numerical methods in real engineering practices, flowcharts, and MATLAB codes all help you learn the methods directly in the medium that suits you best.
Описание: This work looks at the development of constitutive relations for geotechnical materials that, with the help of numerical models, have increased the ability to predict and to interpret the mechanical behaviour of geotechnical works.
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