DATA APPROXIMATION: mathematical modelling and numerical simulations, Christian Gout, Dominique Apprato, Zoe Lambert

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 66520.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Автор: li zhilin
Название: Numerical solution of differential equations
ISBN: 1107163226 ISBN-13(EAN): 9781107163225
Издательство: Cambridge Academ
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Цена: 89760.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This practical and concise guide to finite difference and finite element methods is aimed at graduate students who need to solve differential equations. With few prerequisites, the book is accessible to readers from a range of disciplines across science and engineering. Well-tested MATLAB (R) codes are available online.

Автор: Helms, Volkhard
Название: Principles of Computational Cell Biology
ISBN: 3527333584 ISBN-13(EAN): 9783527333585
Издательство: Wiley
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Цена: 79200.00 T
Наличие на складе: Поставка под заказ.
Описание: This successful text, now in its 2nd ed. , provides an ideal introduction into the possibilities of modeling on a cell biology level. It extends the strengths of the first edition even further while keeping faithful to the trusted hands-on concept and keeping math to the minimum.

Автор: Francesco Aldo Costabile
Название: Modern Umbral Calculus: An Elementary Introduction with Applications to Linear Interpolation and Operator Approximation Theory
ISBN: 3110649969 ISBN-13(EAN): 9783110649963
Издательство: Walter de Gruyter
Цена: 128870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The series is devoted to the publication of monographs and high-level textbooks in mathematics, mathematical methods and their applications. Apart from covering important areas of current interest, a major aim is to make topics of an interdisciplinary nature accessible to the non-specialist. The works in this series are addressed to advanced students and researchers in mathematics and theoretical physics. In addition, it can serve as a guide for lectures and seminars on a graduate level. The series de Gruyter Studies in Mathematics was founded ca. 35 years ago by the late Professor Heinz Bauer and Professor Peter Gabriel with the aim to establish a series of monographs and textbooks of high standard, written by scholars with an international reputation presenting current fields of research in pure and applied mathematics. While the editorial board of the Studies has changed with the years, the aspirations of the Studies are unchanged. In times of rapid growth of mathematical knowledge carefully written monographs and textbooks written by experts are needed more than ever, not least to pave the way for the next generation of mathematicians. In this sense the editorial board and the publisher of the Studies are devoted to continue the Studies as a service to the mathematical community. Please submit any book proposals to Niels Jacob . Titles in planning include Flavia Smarazzo and Alberto Tesei, Measure Theory: Radon Measures, Young Measures, and Applications to Parabolic Problems (2019) Elena Cordero and Luigi Rodino, Time-Frequency Analysis of Operators (2019) Mark M. Meerschaert, Alla Sikorskii, and Mohsen Zayernouri, Stochastic and Computational Models for Fractional Calculus , second edition (2020) Mariusz Lemanczyk, Ergodic Theory: Spectral Theory, Joinings, and Their Applications (2020) Marco Abate, Holomorphic Dynamics on Hyperbolic Complex Manifolds (2021) Miroslava Antic, Joeri Van der Veken, and Luc Vrancken, Differential Geometry of Submanifolds: Submanifolds of Almost Complex Spaces and Almost Product Spaces (2021) Kai Liu, Ilpo Laine, and Lianzhong Yang, Complex Differential-Difference Equations (2021) Rajendra Vasant Gurjar, Kayo Masuda, and Masayoshi Miyanishi, Affine Space Fibrations (2022)

Автор: Lloyd N. Trefethen
Название: Approximation Theory and Approximation Practice: Extended Edition
ISBN: 161197593X ISBN-13(EAN): 9781611975932
Издательство: Mare Nostrum (Eurospan)
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Цена: 60990.00 T
Наличие на складе: Нет в наличии.
Описание: This is a textbook on classical polynomial and rational approximation theory for the twenty-first century. Aimed at advanced undergraduates and graduate students across all of applied mathematics, it uses MATLAB to teach the field’s most important ideas and results.

Approximation Theory and Approximation Practice, Extended Edition differs fundamentally from other works on approximation theory in a number of ways: its emphasis is on topics close to numerical algorithms; concepts are illustrated with Chebfun; and each chapter is a PUBLISHable MATLAB M-file, available online.

The book centers on theorems and methods for analytic functions, which appear so often in applications, rather than on functions at the edge of discontinuity with their seductive theoretical challenges. Original sources are cited rather than textbooks, and each item in the bibliography is accompanied by an editorial comment. In addition, each chapter has a collection of exercises, which span a wide range from mathematical theory to Chebfun-based numerical experimentation.

Автор: Alfio Quarteroni, Luca Dede`, Andrea Manzoni, Christian Vergara
Название: Mathematical Modelling of the Human Cardiovascular System: Data, Numerical Approximation, Clinical Applications
ISBN: 110848039X ISBN-13(EAN): 9781108480390
Издательство: Cambridge Academ
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Цена: 88710.00 T
Наличие на складе: Поставка под заказ.
Описание: The mathematical modelling of the human cardiovascular system, from patient data to clinical applications, is discussed in this book. It gives researchers an overview of the main differential problems underlying the physiology and pathology of the cardiovascular system, as well as rigorous numerical methods for large-scale computation.

Автор: Taras Gerya
Название: Introduction to Numerical Geodynamic Modelling
ISBN: 1107143144 ISBN-13(EAN): 9781107143142
Издательство: Cambridge Academ
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Цена: 70740.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The second edition of this popular introduction to numerical geodynamic modelling theory and applications features four new chapters. Based on the author`s experience of teaching the material, and including practical exercises and MATLAB (R) examples, this user-friendly resource encourages students and researchers to experiment with geodynamic models.

Автор: Galina Filipuk, Andrzej Kozlowski
Название: Analysis with Mathematica®: Volume 1: Single Variable Calculus
ISBN: 3110590131 ISBN-13(EAN): 9783110590135
Издательство: Walter de Gruyter
Цена: 74320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A computer algebra system such as Mathematica is able to do much more than just numerics: This text shows how to tackle real mathematical problems from basic analysis. The reader learns how Mathematica represents domains, qualifiers and limits to implement actual proofs – a requirement to unlock the huge potential of Mathematica for a variety of applications.

Автор: Hoffman, Johan,
Название: Methods in computational science /
ISBN: 1611976715 ISBN-13(EAN): 9781611976717
Издательство: Mare Nostrum (Eurospan)
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Цена: 74410.00 T
Наличие на складе: Невозможна поставка.
Описание: Computational methods are an integral part of most scientific disciplines, and a rudimentary understanding of their potential and limitations is essential for any scientist or engineer. This textbook introduces computational science through a set of methods and algorithms with the aim of familiarizing the reader with the field's theoretical foundations and providing the practical skills to use and develop computational methods. Methods in Computational Scienceextends the classical syllabus with new material, including high performance computing, adjoint methods, machine learning, randomized algorithms, and quantum computing,is centered around a set of fundamental algorithms presented in the form of pseudocode,presents theoretical material alongside several examples and exercises, andprovides Python implementations of many key algorithms.Methods in Computational Science is a textbook for computer science and data science students at the advanced undergraduate and graduate level. It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. Because the text is self-contained, it can also be used to support continuous learning for practicing mathematicians, data scientists, computer scientists, and engineers in the field of computational science.

Автор: Deng Weihua
Название: Modeling Anomalous Diffusion: From Statistics To Mathematics
ISBN: 9811212996 ISBN-13(EAN): 9789811212994
Издательство: World Scientific Publishing
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Цена: 95040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This book focuses on modeling the anomalous diffusion phenomena, being ubiquitous in the natural world. Both the microscopic models (stochastic processes) and macroscopic models (partial differential equations) have been built up. The relationships between the two kinds of models are clarified, and based on these models, some statistical observables are analyzed. From statistics to mathematics, the built models show their power with their associated applications.

This book is important for students to develop basic skills to be able to succeed in their future research. In addition to introducing the related models or methods, it also provides the corresponding applications and simulation results, which will attract more readers ranging from mathematicians to physicists or chemists, to name a few.

Автор: Baumgarte, Thomas W. (bowdoin College, Maine) Shapiro, Stuart L. (university Of Illinois, Urbana-champaign)
Название: Numerical relativity: starting from scratch
ISBN: 1108928250 ISBN-13(EAN): 9781108928250
Издательство: Cambridge Academ
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Цена: 48570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Numerical relativity has emerged as the key tool to model gravitational waves that are emitted when two black holes collide. This book provides a pedagogical, accessible and concise introduction to the subject for non-experts, acquainting them with the key concepts underlying publicly available numerical relativity codes.

Автор: Abdul Karim
Название: Theoretical, Modelling and Numerical Simulations Toward Industry 4.0
ISBN: 9811589860 ISBN-13(EAN): 9789811589867
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents theoretical modeling and numerical simulations applied to drive several applications towards Industrial Revolution 4.0 (IR 4.0). The topics discussed range from theoretical parts to extensive simulations involving many efficient algorithms as well as various statistical techniques.