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Learn to do Algebra Mentally and Intuitively Mathematicians use their minds in ways that make abstract math easy for them. This book;
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This book introduces some of the elementary concepts and results of Linear Algebra. It explains basic concepts and techniques of linear;
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Advanced Linear Algebra features a student-friendly approach to the theory of linear algebra. The author's emphasis on vector spaces;
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Linear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course, which will be useful for;
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Linear algebra forms the basis for much of modern mathematics-theoretical, applied, and computational. Finite-Dimensional Linear Algebra;
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Although inner-city nontraditional students have native ability, Miller contends that they often lack the educational background to handle;
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This book discusses major topics in Galois theory and advanced linear algebra, including canonical forms. Divided into four chapters and;
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This book discusses major topics in Galois theory and advanced linear algebra, including canonical forms. Divided into four chapters and;
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Linear Algebra: Gateway to Mathematics uses linear algebra as a vehicle to introduce students to the inner workings of mathematics. The;
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This top-selling, theorem-proof book presents a careful treatment of the principle topics of linear algebra, and illustrates the;
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, Abstract and Boolean Algebra. The text discusses the matrix and determinants, Cramer's rule, Vandermonde determinants, vector spaces, inner product;
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algebra. It then proceeds to a discussion of modules, emphasizing a comparison with vector spaces, and presents a thorough discussion of inner;
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This introductory textbook grew out of several courses in linear algebra given over more than a decade and includes such helpful material;
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This is the second edition of the best-selling introduction to linear algebra. Presupposing no knowledge beyond calculus, it provides a;
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Algebra. We consider in particular systems of linear equations, matrices, determinants, vector spaces, linear transformations, inner products;
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Algebra. We consider in particular systems of linear equations, matrices, determinants, vector spaces, linear transformations, inner products;
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multidimensional spaces, linear transformations, matrices, matrix algebra, determinants, vector spaces, subspaces, linear independence, basis, inner;
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, particularly in the chapter on linear algebra on inner product spaces. In addition to studying linear algebra over general fields, the text has a;
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Linear Algebra: Algorithms, Applications, and Techniques, Fourth Edition offers a modern and algorithmic approach to computation while;
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Elementary Linear Algebra is a well-organized, lucidly written text, introducing readers to Matrices, Groups, Rings, Fields, System;
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Introduction to Linear Algebra stresses finite dimensional vector spaces and linear transformations. Intended for undergraduate majors;
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This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel;
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This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel;
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Advanced Linear Algebra, Second Edition takes a gentle approach that starts with familiar concepts and then gradually builds to deeper;
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Master linear algebra with Schaum's - the high-performance study guide. It will help you cut study time, hone problem-solving skills, and;
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The purpose of this book is to explain linear algebra clearly for beginners. In doing so, the author states and explains somewhat advanced;
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, the text is technically detailed and is clearly illustrated throughout with diagrams and exercises. Some prior knowledge of linear algebra;
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