Hadamard Matrices. Constructions using Number Theory and Linear Algebra, Hardback - Mieko Yamada

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Publisher: Wellesley-Cambridge Press, U.S.Author(s): Gilbert (Massachusetts Institute of Technology) StrangNumber of pages: 510Publication date: 20...

Reducere. Linear algebra is one of the central disciplines in mathematics. A student of pure mathematics must know linear algebra if he is to continue with m...

Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares - Stephen Boyd, Lieven Vandenberghe

The final two chapters consist of a more intensive look at group theory, emphasizing orbit stabilizer methods, and an introduction to linear algebr...

DescriptionNonnegative matrices is an increasingly important subject in economics, control theory, numerical analysis, Markov chains, and other are...

This book is designed for students who have never been exposed to the topics in a linear algebra course. The text is filled with interesting and di...

Reducere. Linear algebra is perhaps the most important branch of mathematics for computational sciences, including machine learning, AI, data science, statis...

This textbook demonstrates the strong interconnections between linear algebra and group theory by presenting them simultaneously, a pedagogical str...

This book, meant for undergraduate mathematics students and teachers, introduces algebraic number theory through problems from ordinary number theo...

Reducere. This is the revised and expanded edition of the problem book Linear Algebra: Challenging Problems for Students, now entitled Problems in Linear Alg...

This is a short text in linear algebra, intended for a one-term course. He then starts with a discussion of linear equations, matrices and Gaussian...

DescriptionUpdated to reflect current research, Algebraic Number Theory and Fermat's Last Theorem, Fourth Edition introduces fundamental ideas of a...

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Reducere. This graduate-level text provides coverage for a one-semester course in algebraic number theory. It explores the general theory of factorization of...

Provides a complete coverage of core linear algebra topics, including vectors and matrices, systems of linear equations, general vector spaces, lin...

Now in its 2nd edition, Linear Algebra with Applications blends computational and conceptual topics to prepare students for the rigors of conceptua...

Reducere. For a regular 17-gon, the formulas above give the x-coordinate of the first vertex in the upper half plane.The first formula goes back to Gauss. Th...

Emphasizes a vectors approach and prepares students to make the transition from computational to theoretical mathematics. This book includes applic...

Publisher: MIT Press LtdAuthor(s): Kenneth W. (Associate Professor, SUNY Buffalo) ReganIllustration(s): 7 b 14 Illustrations, unspecifiedNumber of ...

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Linear algebra permeates mathematics, as well as physics and engineering. This book treats diagonalization as a central tool in solving complicated...

Linear Algebra: A Geometric Approach, now in its second edition and written by Malcolm Adams and Ted Shifrin, presents the standard computational a...

Pure Mathematics for Pre-BeginnersPure Mathematics for Pre-Beginners consists of a series of lessons in Logic, Set Theory, Abstract Algebra, Number...

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Presents multiprecision algorithms used in number theory and elsewhere, such as extrapolation, numerical integration, numerical summation (includin...

This introduction to linear algebra by world-renowned mathematician Peter Lax is unique in its emphasis on the analytical aspects of the subject as...

Reducere. "Linear Algebra" is intended for a one-term course at the junior or senior level. It begins with an exposition of the basic theory of vector spaces...

This book is intended primarily as an undergraduate textbook but is written in such a way that it can be also a valuable resource for independent l...

Reducere. "A very valuable addition to any mathematical library." -- School Science and MathThis book, written by a prominent mathematician and Sterling Prof...

"Linear Algebra" is intended for a one-term course at the junior or senior level. It begins with an exposition of the basic theory of vector spaces...

Reducere. This is a graduate textbook covering an especially broad range of topics. The first part of the book contains a careful but rapid discussion of the...

Linear algebra is growing in importance. The Fourth Edition of this popular text introduces linear algebra in a comprehensive, geometric, and algor...

The Problem-solving Strategies and Skills maths cards provide a wide variety of motivating and high-interest problem-solving activities.Publisher: ...

The Problem-solving Strategies and Skills maths cards provide a wide variety of motivating and high-interest problem-solving activities. There are ...

Reducere. This text covers a standard first course: Gauss's Method, vector spaces, linear maps and matrices, determinants, and eigenvalues and eigenvectors. ...

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Reducere. Das vorliegende Buch ist ein Arbeitsbuch fuer den Mathematikunterricht in Linearer Algebra in der Oberstufe der Beruflichen Gymnasien Wirtschaft un...

Linear algebra is a fundamental area of mathematics, and is arguably the most powerful mathematical tool ever developed. It is a core topic of stud...

Reducere. In this volume in his exceptional series of translations of Russian mathematical texts, Richard Silverman has taken Shilov's course in linear algeb...

Reducere. "The straight-forward clarity of the writing is admirable." -- American Mathematical Monthly.This work provides an elementary and easily readable a...

Most of the introductory courses on linear algebra develop the basic theory of finite dimensional vector spaces, and in so doing relate the notion ...

Aimed at first-year undergraduate student in physics and engineering, this textbook combines a rigorous theoretical introduction to linear algebra ...

Introduction to Linear Algebra stresses finite dimensional vector spaces and linear transformations. Intended for undergraduate majors in mathemati...

Reducere. Linear algebra is the foundation of science and engineering. Knowledge of linear algebra is a prerequisite for studying statistics, machine learnin...