Practical Numerical and Scientific Computing with MATLAB® and Python, Bashier, Eihab B. M.
Автор: Ponce Cruz, Pedro , Guti?rrez, Arturo Molina , R Название: A Practical Approach to Metaheuristics using LabVIEW and MATLAB® ISBN: 0367337045 ISBN-13(EAN): 9780367337049 Издательство: Taylor&Francis Рейтинг: Цена: 9186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes and implements metaheuristic algorithms, using a practical approach in which engineering problems are solved. A novel optimization algorithm, called Earthquake optimization, is presented as a main example. Since this algorithm is used for earthquake modeling, a geological optimization strategy is demonstrated.
Автор: Ponce Cruz, Pedro , Guti?rrez, Arturo Molina , R Название: A Practical Approach to Metaheuristics using LabVIEW and MATLAB® ISBN: 0367494264 ISBN-13(EAN): 9780367494261 Издательство: Taylor&Francis Рейтинг: Цена: 12707.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes and implements metaheuristic algorithms, using a practical approach in which engineering problems are solved. A novel optimization algorithm, called Earthquake optimization, is presented as a main example. Since this algorithm is used for earthquake modeling, a geological optimization strategy is demonstrated.
Автор: Theodoros Giannakopoulos, Aggelos Pikrakis Название: Introduction To Audio Analysis: A Matlab® Approach 1St Edition ISBN: 0080993885 ISBN-13(EAN): 9780080993881 Издательство: Elsevier Science Рейтинг: Цена: 9264.00 р. Наличие на складе: Нет в наличии.
Описание: Serves as a standalone introduction to audio analysis, providing theoretical background to many techniques. This book covers the essential theory necessary to develop audio engineering applications, and also uses programming techniques, notably Matlab[registered], to take a more applied approach to the topic.
Автор: Cuevas, Erik , Rodriguez, Alma Название: Metaheuristic Computation with MATLAB® ISBN: 0367438860 ISBN-13(EAN): 9780367438869 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The main purpose of this book is to provide a unified view of the most popular metaheuristic methods. Under this perspective, it has presented the fundamental design principles as well as the operators of metaheuristic approaches which are considered essential.
Автор: Dan B. Marghitu; Mihai Dupac; Nels H. Madsen Название: Statics with MATLAB® ISBN: 1447161955 ISBN-13(EAN): 9781447161950 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents MATLAB (R) as a highly convenient tool to solve problems in the theory and applications of statics. It features example problems that demonstrate the MATLAB (R) syntax and also introduce specific functions dealing with statics.
Автор: Messac Название: Optimization in Practice with MATLAB® ISBN: 1107109183 ISBN-13(EAN): 9781107109186 Издательство: Cambridge Academ Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook is designed for undergraduate and graduate students and practitioners interested in learning optimization. The presentation is enriched with a robust set of real-world examples and practical exercises. Using MATLAB (R) software is encouraged throughout. The instructor is supported by a complete solutions manual and PowerPoint slides with animations.
Автор: Vladimir A. Garanzha; Lennard Kamenski; Hang Si Название: Numerical Geometry, Grid Generation and Scientific Computing ISBN: 3030234355 ISBN-13(EAN): 9783030234355 Издательство: Springer Рейтинг: Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of these conference proceedings is on research, development, and applications in the fields of numerical geometry, scientific computing and numerical simulation, particularly in mesh generation and related problems. In addition, this year’s special focus is on Voronoi diagrams and their applications, celebrating the 150th birthday of G.F. Voronoi. In terms of content, the book strikes a balance between engineering algorithms and mathematical foundations. It presents an overview of recent advances in numerical geometry, grid generation and adaptation in terms of mathematical foundations, algorithm and software development and applications. The specific topics covered include: quasi-conformal and quasi-isometric mappings, hyperelastic deformations, multidimensional generalisations of the equidistribution principle, discrete differential geometry, spatial and metric encodings, Voronoi-Delaunay theory for tilings and partitions, duality in mathematical programming and numerical geometry, mesh-based optimisation and optimal control methods. Further aspects examined include iterative solvers for variational problems and algorithm and software development. The applications of the methods discussed are multidisciplinary and include problems from mathematics, physics, biology, chemistry, material science, and engineering.
Автор: Hill Название: Learning Scientific Programming with Python ISBN: 1107075416 ISBN-13(EAN): 9781107075412 Издательство: Cambridge Academ Рейтинг: Цена: 14256.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learn to master basic programming tasks from scratch with real-life scientific examples drawn from many different areas of science and engineering. This complete introduction to using Python teaches Numpy, SciPy and Matplotlib libraries and is supported by extensive online resources to provide a targeted package for students and researchers.
Recommender systems are very popular nowadays, as both an academic research field and services provided by numerous companies for e-commerce, multimedia and Web content. Collaborative-based methods have been the focus of recommender systems research for more than two decades.
The unique feature of the compendium is the technical details of collaborative recommenders. The book chapters include algorithm implementations, elaborate on practical issues faced when deploying these algorithms in large-scale systems, describe various optimizations and decisions made, and list parameters of the algorithms.
This must-have title is a useful reference materials for researchers, IT professionals and those keen to incorporate recommendation technologies into their systems and services.
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