Mathematics of Public Health, Murty

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
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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: Alfio Quarteroni
Название: Numerical Models for Differential Problems
ISBN: 3319493159 ISBN-13(EAN): 9783319493152
Издательство: Springer
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Цена: 83850.00 T
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Описание: This book introduces the basic concepts for the numerical modelling of partial differential equations. It details algorithmic and computer implementation aspects and provides a number of easy-to-use programs.

Автор: Borrelli
Название: Predictive Control for Linear and Hybrid Systems
ISBN: 1107652871 ISBN-13(EAN): 9781107652873
Издательство: Cambridge Academ
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Цена: 63350.00 T
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Описание: With a simple, unified approach, and with consideration of real-time applications, this book covers the theory of stability, feasibility, and robustness of model predictive control (MPC). It is for graduate and postgraduate students, as well as advanced control practitioners interested in the theory and/or implementation of predictive control.

Автор: K.A. Stroud, Dexter Booth
Название: Advanced Engineering Mathematics
ISBN: 1352010259 ISBN-13(EAN): 9781352010251
Издательство: Bloomsbury Academic
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Цена: 66520.00 T
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Описание:

A long-standing, best-selling, comprehensive textbook covering all the mathematics required on upper level engineering mathematics undergraduate courses.  Its unique approach takes you through all the mathematics you need in a step-by-step fashion with a wealth of examples and exercises. The text demands that you engage with it by asking you to complete steps that you should be able to manage from previous examples or knowledge you have acquired, while carefully introducing new steps. By working with the authors through the examples, you become proficient as you go. By the time you come to trying examples on their own, confidence is high.

Suitable for undergraduates in second and third year courses on engineering and science degrees.  

Автор: Igor Konnov
Название: Equilibrium Models and Variational Inequalities,210
ISBN: 0444530304 ISBN-13(EAN): 9780444530301
Издательство: Elsevier Science
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Цена: 90100.00 T
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Описание: Presents a unifying look on different equilibrium concepts in economics, including several models from related sciences. This work describes static and dynamic input-output models, Walras, Cassel-Wald, spatial price, auction market, oligopolistic equilibrium models, transportation and migration equilibrium models.

Автор: Adrian Bondy, U.S.R. Murty
Название: Graph Theory
ISBN: 1849966907 ISBN-13(EAN): 9781849966900
Издательство: Springer
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Цена: 50310.00 T
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Описание: Graphs.- Subgraphs.- Connected Graphs.- Trees.- Nonseparable Graphs.- Tree-Search Algorithms.- Flows in Networks.- Complexity of Algorithms.- Connectivity.- Planar Graphs.- The Four-Colour Problem.- Stable Sets and Cliques.- The Probabilistic Method.- Vertex Colourings.- Colourings of Maps.- Matchings.- Edge Colourings.- Hamilton Cycles.- Coverings and Packings in Directed Graphs.- Electrical Networks.- Integer Flows and Coverings.

Автор: Hans Kellerer; Ulrich Pferschy; David Pisinger
Название: Knapsack Problems
ISBN: 3642073115 ISBN-13(EAN): 9783642073113
Издательство: Springer
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Цена: 121110.00 T
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Описание: Thirteen years have passed since the seminal book on knapsack problems by Martello and Toth appeared. On this occasion a former colleague exclaimed back in 1990: "How can you write 250 pages on the knapsack problem?" Indeed, the definition of the knapsack problem is easily understood even by a non-expert who will not suspect the presence of challenging research topics in this area at the first glance. However, in the last decade a large number of research publications contributed new results for the knapsack problem in all areas of interest such as exact algorithms, heuristics and approximation schemes. Moreover, the extension of the knapsack problem to higher dimensions both in the number of constraints and in the num- ber of knapsacks, as well as the modification of the problem structure concerning the available item set and the objective function, leads to a number of interesting variations of practical relevance which were the subject of intensive research during the last few years. Hence, two years ago the idea arose to produce a new monograph covering not only the most recent developments of the standard knapsack problem, but also giving a comprehensive treatment of the whole knapsack family including the siblings such as the subset sum problem and the bounded and unbounded knapsack problem, and also more distant relatives such as multidimensional, multiple, multiple-choice and quadratic knapsack problems in dedicated chapters.

Автор: David G. Luenberger; Yinyu Ye
Название: Linear and Nonlinear Programming
ISBN: 1441945040 ISBN-13(EAN): 9781441945044
Издательство: Springer
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Цена: 79190.00 T
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Описание: This third edition of the classic textbook in Optimization has been fully revised and updated. The book connects the purely analytical character of an optimization problem, and the behavior of algorithms used to solve it. Now, the third edition has been completely updated with recent Optimization Methods.

Автор: Courant, Richard; Robbins, Herbert
Название: What Is Mathematics?
ISBN: 0195105192 ISBN-13(EAN): 9780195105193
Издательство: Oxford Academ
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Цена: 21640.00 T
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Описание: Written for beginners and scholars, for students and teachers, for philosophers and engineers, What is Mathematics?, Second Edition is a sparkling collection of mathematical gems that offers an entertaining and accessible portrait of the mathematical world. Covering everything from natural numbers and the number system to geometrical constructions and projective geometry, this fascinating survey allows readers to delve into mathematics as an organic wholerather than an empty drill in problem solving.

Автор: M. O. Deville
Название: High-Order Methods for Incompressible Fluid Flow
ISBN: 0521453097 ISBN-13(EAN): 9780521453097
Издательство: Cambridge Academ
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Цена: 255340.00 T
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Описание: This book considers the range of mathematical, engineering, and computer science topics that form the foundation of high-order numerical methods for the simulation of incompressible fluid flows in complex domains. Numerous examples are provided throughout to illustrate the capabilities of high-order methods in actual applications.

Автор: Gordon
Название: Introduction to Modeling and Simulation with MATLAB and Python
ISBN: 1498773877 ISBN-13(EAN): 9781498773874
Издательство: Taylor&Francis
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Цена: 89820.00 T
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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: Osais
Название: Computer Simulation
ISBN: 1498726828 ISBN-13(EAN): 9781498726825
Издательство: Taylor&Francis
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Цена: 127600.00 T
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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.