Автор: Strang Gilbert Название: Linear Algebra and Learning from Data ISBN: 0692196382 ISBN-13(EAN): 9780692196380 Издательство: Cambridge Academ Рейтинг: Цена: 9978.00 р. 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: Gilbert Baumslag,Benjamin Fine,Martin Kreuzer,Gerh Название: A Course in Mathematical Cryptography ISBN: 3110372762 ISBN-13(EAN): 9783110372762 Издательство: Walter de Gruyter Цена: 9288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cryptography has become essential as bank transactions, credit card infor-mation, contracts, and sensitive medical information are sent through inse-cure channels. This book is concerned with the mathematical, especially algebraic, aspects of cryptography. It grew out of many courses presented by the authors over the past twenty years at various universities and covers a wide range of topics in mathematical cryptography. It is primarily geared towards graduate students and advanced undergraduates in mathematics and computer science, but may also be of interest to researchers in the area. Besides the classical methods of symmetric and private key encryption, the book treats the mathematics of cryptographic protocols and several unique topics such as Group-Based Cryptography Grobner Basis Methods in Cryptography Lattice-Based Cryptography
Автор: Dietrich Stauffer; Friedrich W Hehl; Nobuyasu Ito; Название: Computer Simulation and Computer Algebra ISBN: 3540565302 ISBN-13(EAN): 9783540565307 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Beginning with simple examples in classical mechanics, this textbook discusses simulations in statistical physics using FORTRAN and proceeds to explain in detail the use of computer algebra. The edition has been expanded to include an introduction to both vector and parallel computing.
Автор: Ruud Pellikaan, Xin-Wen Wu, Stanislav Bulygin, Relinde Jurrius Название: Codes, Cryptology and Curves with Computer Algebra ISBN: 0521817110 ISBN-13(EAN): 9780521817110 Издательство: Cambridge Academ Рейтинг: Цена: 25186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This graduate-level text covers theoretical and applied aspects of protecting digital data. Starting from the basics, it introduces error-correcting codes and explains how to apply them to symmetric and public key cryptosystems. Readers will learn methods of protecting digital data while it is transmitted and while it is being stored.
Автор: Chattamvelli Rajan, Shanmugam Ramalingam Название: Generating Functions in Engineering and the Applied Sciences ISBN: 1681736381 ISBN-13(EAN): 9781681736389 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 6930.00 р. Наличие на складе: Нет в наличии.
Описание:
This is an introductory book on generating functions (GFs) and their applications.
It discusses commonly encountered generating functions in engineering and applied sciences, such as ordinary generating functions (OGF), exponential generating functions (EGF), probability generating functions (PGF), etc. Some new GFs like Pochhammer generating functions for both rising and falling factorials are introduced in Chapter 2. Two novel GFs called "mean deviation generating function" (MDGF) and "survival function generating function" (SFGF), are introduced in Chapter 3. The mean deviation of a variety of discrete distributions are derived using the MDGF. The last chapter discusses a large number of applications in various disciplines including algebra, analysis of algorithms, polymer chemistry, combinatorics, graph theory, number theory, reliability, epidemiology, bio-informatics, genetics, management, economics, and statistics.
Some background knowledge on GFs is often assumed for courses in analysis of algorithms, advanced data structures, digital signal processing (DSP), graph theory, etc. These are usually provided by either a course on "discrete mathematics" or "introduction to combinatorics." But, GFs are also used in automata theory, bio-informatics, differential equations, DSP, number theory, physical chemistry, reliability engineering, stochastic processes, and so on. Students of these courses may not have exposure to discrete mathematics or combinatorics. This book is written in such a way that even those who do not have prior knowledge can easily follow through the chapters, and apply the lessons learned in their respective disciplines. The purpose is to give a broad exposure to commonly used techniques of combinatorial mathematics, highlighting applications in a variety of disciplines.
This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.
Название: Computer algebra handbook ISBN: 3540654666 ISBN-13(EAN): 9783540654667 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This computer algebra handbook gives a comprehensive snapshot of this field at the intersection of mathematics and computer science with applications in physics, engineering and education. It contains theory, systems and practice of the discipline of symbolic computation and computer algebra.
Автор: Decker Название: A First Course in Computational Algebraic Geometry ISBN: 1107612535 ISBN-13(EAN): 9781107612532 Издательство: Cambridge Academ Рейтинг: Цена: 2534.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This quick guide is designed for young students with some background in algebra who wish to perform their first experiments in computational geometry. It provides a compact presentation of the basic theory, with particular emphasis on explicit computational examples using the computer algebra system Singular.
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