Discrete Mathematics for Computer Science: An Example-Based Introduction, Fortney Jon Pierre
Автор: Cameron Peter J Название: Notes on Counting: An Introduction to Enumerative Combinator ISBN: 1108404952 ISBN-13(EAN): 9781108404952 Издательство: Cambridge Academ Рейтинг: Цена: 38010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Enumerative combinatorics, in its algebraic and analytic forms, is vital to many areas of mathematics, from model theory to statistical mechanics. This book, drawn from many years of teaching, invites students into the subject and prepares them for more advanced texts. It is suitable as a class text or for individual study.
Автор: Epp, Susanna Название: Discrete mathematics with applications, metric version 5 edition ISBN: 0357114086 ISBN-13(EAN): 9780357114087 Издательство: Cengage Learning Рейтинг: Цена: 106200.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: DISCRETE MATHEMATICS WITH APPLICATIONS, 5th Edition, Metric Edition explains complex, abstract concepts with clarity and precision and provides a strong foundation for computer science and upper-level mathematics courses of the computer age. Author Susanna Epp presents not only the major themes of discrete mathematics, but also the reasoning that underlies mathematical thought. Students develop the ability to think abstractly as they study the ideas of logic and proof.
While learning about such concepts as logic circuits and computer addition, algorithm analysis, recursive thinking, computability, automata, cryptography and combinatorics, students discover that the ideas of discrete mathematics underlie and are essential to today's science and technology.
Автор: Watrous, John (university Of Waterloo, Ontario) Название: The theory of quantum information ISBN: 1107180562 ISBN-13(EAN): 9781107180567 Издательство: Cambridge Academ Рейтинг: Цена: 77090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.
Автор: Willem Conradie,Valentin Goranko,Claudette Robinso Название: Logic and Discrete Mathematics: A Concise Introduction, Solutions Manual ISBN: 1118762673 ISBN-13(EAN): 9781118762677 Издательство: Wiley Рейтинг: Цена: 17900.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Solutions manual to accompany
Автор: Willem Conradie,Valentin Goranko Название: Logic and Discrete Mathematics: A Concise Introduction ISBN: 1118751272 ISBN-13(EAN): 9781118751275 Издательство: Wiley Рейтинг: Цена: 41130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A concise yet rigorous introduction to logic and discrete mathematics.
Автор: Merlin Carl Название: Ordinal Computability: An Introduction to Infinitary Machines ISBN: 3110495627 ISBN-13(EAN): 9783110495621 Издательство: Walter de Gruyter Цена: 123910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Ordinal Computability discusses models of computation obtained by generalizing classical models, such as Turing machines or register machines, to transfinite working time and space. In particular, recognizability, randomness, and applications to other areas of mathematics are covered.
Автор: Tom Richmond Название: General Topology: An Introduction ISBN: 3110686562 ISBN-13(EAN): 9783110686562 Издательство: Walter de Gruyter Рейтинг: Цена: 96630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The first half of the book provides an introduction to general topology, with ample space given to exercises and carefully selected applications. The second half of the text includes topics in asymmetric topology, a field motivated by applications in computer science. Recurring themes include the interactions of topology with order theory and mathematics designed to model loss-of-resolution situations.
Автор: Kuang Название: Introduction to Mathematical Oncology ISBN: 158488990X ISBN-13(EAN): 9781584889908 Издательство: Taylor&Francis Рейтинг: Цена: 93910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models.
After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practical, and insightful mathematical models of avascular tumor growth and mathematically tractable treatment models based on ordinary differential equations. It continues the topic of avascular tumor growth in the context of partial differential equation models by incorporating the spatial structure and physiological structure, such as cell size. The book then focuses on the recent active multi-scale modeling efforts on prostate cancer growth and treatment dynamics. It also examines more mechanistically formulated models, including cell quota-based population growth models, with applications to real tumors and validation using clinical data. The remainder of the text presents abundant additional historical, biological, and medical background materials for advanced and specific treatment modeling efforts.
Extensively classroom-tested in undergraduate and graduate courses, this self-contained book allows instructors to emphasize specific topics relevant to clinical cancer biology and treatment. It can be used in a variety of ways, including a single-semester undergraduate course, a more ambitious graduate course, or a full-year sequence on mathematical oncology.
Автор: Efron Название: An Introduction to the Bootstrap ISBN: 0412042312 ISBN-13(EAN): 9780412042317 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An exploration of the many different bootstrap techniques. It discusses useful statistical techniques through real data examples and covers nonparametric regression, density estimation, classification trees, and least median squares regression. There are numerous exercises.
Автор: Greenberg Название: Introduction to Bayesian Econometrics ISBN: 1107015316 ISBN-13(EAN): 9781107015319 Издательство: Cambridge Academ Рейтинг: Цена: 53850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook is an introduction to econometrics from the Bayesian viewpoint. New material includes a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The R programming language is also emphasized.
Автор: Greenberg Название: Introduction to Bayesian Econometrics ISBN: 110743677X ISBN-13(EAN): 9781107436770 Издательство: Cambridge Academ Рейтинг: Цена: 39070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook is an introduction to econometrics from the Bayesian viewpoint. New material includes a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The R programming language is also emphasized.
Автор: Frieze Название: Introduction to Random Graphs ISBN: 1107118506 ISBN-13(EAN): 9781107118508 Издательство: Cambridge Academ Рейтинг: Цена: 66530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers random graphs from the basic to the advanced and will appeal to anyone interested in combinatorics, applied probability or theoretical computer science. Having read this book, the reader should be in a good position to pursue research in the area.
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