Computer Simulation: A Foundational Approach Using Python, Osais Yahya Esmail
Автор: van Eekelen Название: Foundational and Practical Aspects of Resource Analysis ISBN: 3319465589 ISBN-13(EAN): 9783319465586 Издательство: Springer Рейтинг: Цена: 39130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 4th International Workshop on Foundational and Practical Aspects of Resource Analysis, FOPARA 2015, held in London, UK, in April 2015. The 6 papers presented in this volume were carefully reviewed and selected from 7 submissions.
Автор: Ugo Dal Lago; Ricardo Pe?a Название: Foundational and Practical Aspects of Resource Analysis ISBN: 331912465X ISBN-13(EAN): 9783319124650 Издательство: Springer Рейтинг: Цена: 37270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the Third International Workshop on Foundational and Practical Aspects of Resource Analysis, FOPARA 2013, held in Bertinoro, Italy, in August 2013. They deal with traditional approaches to complexity analysis, differential privacy, and probabilistic analysis of programs.
Автор: Albi Giacomo, Merino-Aceituno Sara, Nota Alessia Название: Trails in Kinetic Theory: Foundational Aspects and Numerical Methods ISBN: 3030671038 ISBN-13(EAN): 9783030671037 Издательство: Springer Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In recent decades, kinetic theory - originally developed as a field of mathematical physics - has emerged as one of the most prominent fields of modern mathematics.
Автор: Ryzhov Vladimir, Fedorova Tatiana, Safronov Kirill Название: Modeling and Simulation of Complex Dynamical Systems: Virtual Laboratory Approach Based on Wolfram Systemmodeler ISBN: 9811630526 ISBN-13(EAN): 9789811630521 Издательство: Springer Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book highlights the practical aspects of computer modelling and simulation of complex dynamical systems for students. Mechanical systems are considered in the book as representative examples of dynamical systems.
Автор: Claus Beisbart; Nicole J. Saam Название: Computer Simulation Validation ISBN: 3319707655 ISBN-13(EAN): 9783319707655 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Computer simulation is a new method that has become a standard technique in many natural and social sciences. Validation comprises the efforts to show that computer simulations provide faithful representations of their target systems. Thus far, validation has much been neglected in the literature, and working scientists have expressed uncertainty about how they should build trust their simulation results. In practice, validation is often neglected completely or only done in a sloppy way. As a consequence, some purported results from computer simulations have later turned out to rest on numerical artefacts. In the absence of clear guidelines, the method of computer simulation, successful as it might seem, is not yet fully developed.
To validate the results of simulations is to make a case for them, to argue that they are realistic, or to enhance their plausibility. Put this way, validation seems fairly straightforward, but, as a matter of fact, it is not well-understood and even controversial from a theoretical point of view. Already the very term "validation" is a matter of debate, as the term is misleading because a simulation cannot be shown to be true or valid except in trivial cases. It is further discussed how validation is related to what people call verification, i.e. the attempt to show that a simulation reliably traces the predictions of a model. Another key question is how one can determine the overall confidence of simulation results if a number of tests have been carried out. Addressing this dissatisfying understanding of validation, this book presents a methodological and philosophical discussion about the validation of computer simulation and of its techniques. The work covers the basic notions and ideas underlying validation (e.g. the notions of validation, verification and error, are clarified), conceptualizes the concept of validation in frameworks from the philosophy of science (e.g. in Bayesian epistemology), and presents practical guidelines and important techniques for validation (e.g. introducing the quantification of uncertainties). The volume also reviews the challenges of validation (e.g. considering the sparseness of data) and offers examples of best practice. This is achieved through an interdisciplinary collection of authors that includes computer scientists (who discuss the most important approaches to validation), mathematicians and statisticians (who present mathematical techniques for validation), and working scientists from various fields (who present best practice examples of validation and reflect about related challenges).
Автор: Damian Mazur; Marek Go??biowski; Mariusz Korkosz Название: Analysis and Simulation of Electrical and Computer Systems ISBN: 331963948X ISBN-13(EAN): 9783319639482 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses selected topics in electrical engineering, electronics and mechatronics that have posed serious challenges for both the scientific and engineering communities in recent years.
Автор: Timo D. H?m?l?inen; Andy D. Pimentel; Jarmo Takala Название: Embedded Computer Systems: Architectures, Modeling, and Simulation ISBN: 354026969X ISBN-13(EAN): 9783540269694 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the proceedings of the 5th International Workshop on Systems, Architectures, Modeling, and Simulation, SAMOS 2005. The papers presented are selected from 114 submissions, and are organized in topical sections on reconfigurable system design and implementations, processor architectures, design and simulation, and system level design.
Автор: Koen Bertels; Nikitas Dimopoulos; Cristina Silvano Название: Embedded Computer Systems: Architectures, Modeling, and Simulation ISBN: 3642031374 ISBN-13(EAN): 9783642031373 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 9th International Workshop SAMOS 2009 Samos Greece July 2023 2009 Proceedings. .
Автор: Dionisios N. Pnevmatikatos; Maxime Pelcat; Matthia Название: Embedded Computer Systems: Architectures, Modeling, and Simulation ISBN: 3030275612 ISBN-13(EAN): 9783030275617 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 19th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2019, held in Pythagorion, Samos, Greece, in July 2019. The 21 regular papers presented were carefully reviewed and selected from 55 submissions.
Автор: Orailoglu Alex, Jung Matthias, Reichenbach Marc Название: Embedded Computer Systems: Architectures, Modeling, and Simulation: 20th International Conference, Samos 2020, Samos, Greece, July 5-9, 2020, Proceedi ISBN: 3030609383 ISBN-13(EAN): 9783030609382 Издательство: Springer Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 20th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2020, held in Samos, Greece, in July 2020.*The 16 regular papers presented were carefully reviewed and selected from 35 submissions.
Автор: Gordon Название: Introduction to Modeling and Simulation with MATLAB and Python ISBN: 1498773877 ISBN-13(EAN): 9781498773874 Издательство: Taylor&Francis Рейтинг: Цена: 89820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field.
Presenting a coherent structure, the book logically connects novel mathematical formulations and efficient computational solutions for a range of unsupervised learning tasks, including visual feature matching, learning and classification, object discovery, and semantic segmentation in video. The final part of the book proposes a general strategy for visual learning over several generations of student-teacher neural networks, along with a unique view on the future of unsupervised learning in real-world contexts.
Offering a fresh approach to this difficult problem, several efficient, state-of-the-art unsupervised learning algorithms are reviewed in detail, complete with an analysis of their performance on various tasks, datasets, and experimental setups. By highlighting the interconnections between these methods, many seemingly diverse problems are elegantly brought together in a unified way.
Serving as an invaluable guide to the computational tools and algorithms required to tackle the exciting challenges in the field, this book is a must-read for graduate students seeking a greater understanding of unsupervised learning, as well as researchers in computer vision, machine learning, robotics, and related disciplines.
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