Advances in Numerical Simulation in Physics and Engineering, Carlos Par?s; Carlos V?zquez; Fr?d?ric Coquel
Автор: Higueras Название: Numerical Simulation in Physics and Engineering ISBN: 3319321455 ISBN-13(EAN): 9783319321455 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents lecture notes from the XVI ‘Jacques-Louis Lions’ Spanish-French School on Numerical Simulation in Physics and Engineering, held in Pamplona (Navarra, Spain) in September 2014. The subjects covered include: numerical analysis of isogeometric methods, convolution quadrature for wave simulations, mathematical methods in image processing and computer vision, modeling and optimization techniques in food processes, bio-processes and bio-systems, and GPU computing for numerical simulation. The book is highly recommended to graduate students in Engineering or Science who want to focus on numerical simulation, either as a research topic or in the field of industrial applications. It can also benefit senior researchers and technicians working in industry who are interested in the use of state-of-the-art numerical techniques in the fields addressed here. Moreover, the book can be used as a textbook for master courses in Mathematics, Physics, or Engineering.
Автор: Osais Название: Computer Simulation ISBN: 1498726828 ISBN-13(EAN): 9781498726825 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the fundamentals of computer simulation using Python. Monte Carlo methods and applications are covered extensively, along with advanced topics, such as event graphs and the design of experiments.
Описание: Simulation-Based Engineering and Science (SBE&S) cuts across disciplines, showing tremendous promise in areas from storm prediction and climate modeling. This title concludes that while the US remains the quantitative leader in SBE&S research and development, it is very much in danger of losing that edge to Europe and Asia.
Описание: Contains the invited papers presented at the 9th International Conference `Dynamical Systems - Theory and Applications` held in Lodz, Poland, December 17-20, 2007, dealing with nonlinear dynamical systems. This book is of interest to pure and applied scientists working in the field of nonlinear dynamics.
Автор: Carlos Par?s; Carlos V?zquez; Fr?d?ric Coquel Название: Advances in Numerical Simulation in Physics and Engineering ISBN: 3319028383 ISBN-13(EAN): 9783319028385 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is mainly addressed to young graduate students in engineering and natural sciences who start to face numerical simulation, either at a research level or in the field of industrial applications.
Автор: Kiusalaas Название: Numerical Methods in Engineering with MATLAB ISBN: 1107120578 ISBN-13(EAN): 9781107120570 Издательство: Cambridge Academ Рейтинг: Цена: 13939.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The third edition of this text describes a range of widely used numerical methods, with an emphasis on problem solving. Every method is discussed thoroughly and illustrated with problems involving both hand computation and programming. MATLAB (R) M-files accompany each method and are available online, as are solutions to the problems.
Описание: The book introduces the principles of mathematical modeling in science, engineering, and social science as well as basic skills of computer programming. The book is aimed at majors in STEM disciplines that need to understand how to create, analyze, and test mathematical models.
Автор: Au Название: Engineering Risk Assessment with Subset Simulation ISBN: 1118398041 ISBN-13(EAN): 9781118398043 Издательство: Wiley Рейтинг: Цена: 16624.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book starts with the basic ideas in uncertainty propagation using Monte Carlo methods and the generation of random variables and stochastic processes for some common distributions encountered in engineering applications.
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