Introductory Linear Algebra with Applications

Introductory Linear Algebra with Applications PDF Author: Bernard Kolman
Publisher:
ISBN: 9780130337061
Category : Algebras, Linear
Languages : en
Pages : 577

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Book Description
For undergraduate-level courses in Linear Algebra. This book provides an applied introduction to the basic ideas, computational techniques, and applications of linear algebra.

Introductory Linear Algebra with Applications

Introductory Linear Algebra with Applications PDF Author: Bernard Kolman
Publisher:
ISBN: 9780130337061
Category : Algebras, Linear
Languages : en
Pages : 577

Get Book Here

Book Description
For undergraduate-level courses in Linear Algebra. This book provides an applied introduction to the basic ideas, computational techniques, and applications of linear algebra.

Introduction to Applied Linear Algebra

Introduction to Applied Linear Algebra PDF Author: Stephen Boyd
Publisher: Cambridge University Press
ISBN: 1316518965
Category : Business & Economics
Languages : en
Pages : 477

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Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Introductory Linear Algebra, with Applications

Introductory Linear Algebra, with Applications PDF Author: Bernard Kolman
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 566

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Book Description


Introduction To Linear Algebra

Introduction To Linear Algebra PDF Author: Mark J. DeBonis
Publisher: CRC Press
ISBN: 100054169X
Category : Mathematics
Languages : en
Pages : 434

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Book Description
Introduction to Linear Algebra: Computation, Application, and Theory is designed for students who have never been exposed to the topics in a linear algebra course. The text is filled with interesting and diverse application sections but is also a theoretical text which aims to train students to do succinct computation in a knowledgeable way. After completing the course with this text, the student will not only know the best and shortest way to do linear algebraic computations but will also know why such computations are both effective and successful. Features: Includes cutting edge applications in machine learning and data analytics Suitable as a primary text for undergraduates studying linear algebra Requires very little in the way of pre-requisites

Introduction to Linear Algebra with Applications

Introduction to Linear Algebra with Applications PDF Author: Jim DeFranza
Publisher: Waveland Press
ISBN: 1478628820
Category : Mathematics
Languages : en
Pages : 508

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Book Description
Over the last few decades, linear algebra has become more relevant than ever. Applications have increased not only in quantity but also in diversity, with linear systems being used to solve problems in chemistry, engineering, economics, nutrition, urban planning, and more. DeFranza and Gagliardi introduce students to the topic in a clear, engaging, and easy-to-follow manner. Topics are developed fully before moving on to the next through a series of natural connections. The result is a solid introduction to linear algebra for undergraduates’ first course.

Introduction to Linear Algebra

Introduction to Linear Algebra PDF Author: Gordon Mills
Publisher: Allen & Unwin Australia
ISBN:
Category : Mathematics
Languages : en
Pages : 246

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Book Description


Introduction to Linear and Matrix Algebra

Introduction to Linear and Matrix Algebra PDF Author: Nathaniel Johnston
Publisher: Springer Nature
ISBN: 3030528111
Category : Mathematics
Languages : en
Pages : 482

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Book Description
This textbook emphasizes the interplay between algebra and geometry to motivate the study of linear algebra. Matrices and linear transformations are presented as two sides of the same coin, with their connection motivating inquiry throughout the book. By focusing on this interface, the author offers a conceptual appreciation of the mathematics that is at the heart of further theory and applications. Those continuing to a second course in linear algebra will appreciate the companion volume Advanced Linear and Matrix Algebra. Starting with an introduction to vectors, matrices, and linear transformations, the book focuses on building a geometric intuition of what these tools represent. Linear systems offer a powerful application of the ideas seen so far, and lead onto the introduction of subspaces, linear independence, bases, and rank. Investigation then focuses on the algebraic properties of matrices that illuminate the geometry of the linear transformations that they represent. Determinants, eigenvalues, and eigenvectors all benefit from this geometric viewpoint. Throughout, “Extra Topic” sections augment the core content with a wide range of ideas and applications, from linear programming, to power iteration and linear recurrence relations. Exercises of all levels accompany each section, including many designed to be tackled using computer software. Introduction to Linear and Matrix Algebra is ideal for an introductory proof-based linear algebra course. The engaging color presentation and frequent marginal notes showcase the author’s visual approach. Students are assumed to have completed one or two university-level mathematics courses, though calculus is not an explicit requirement. Instructors will appreciate the ample opportunities to choose topics that align with the needs of each classroom, and the online homework sets that are available through WeBWorK.

Linear Algebra with Applications

Linear Algebra with Applications PDF Author: Gareth Williams
Publisher: Jones & Bartlett Learning
ISBN: 9780763782481
Category : Mathematics
Languages : en
Pages : 554

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Book Description
Revised and edited, Linear Algebra with Applications, Seventh Edition is designed for the introductory course in linear algebra and is organized into 3 natural parts. Part 1 introduces the basics, presenting systems of linear equations, vectors and subspaces of Rn, matrices, linear transformations, determinants, and eigenvectors. Part 2 builds on this material, introducing the concept of general vector spaces, discussing properties of bases, developing the rank/nullity theorem and introducing spaces of matrices and functions. Part 3 completes the course with many of the important ideas and methods of numerical linear algebra, such as ill-conditioning, pivoting, and LU decomposition. Offering 28 core sections, the Seventh Edition successfully blends theory, important numerical techniques, and interesting applications making it ideal for engineers, scientists, and a variety of other majors.

Introduction to Linear Algebra and Differential Equations

Introduction to Linear Algebra and Differential Equations PDF Author: John W. Dettman
Publisher: Courier Corporation
ISBN: 0486158314
Category : Mathematics
Languages : en
Pages : 442

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Book Description
Excellent introductory text focuses on complex numbers, determinants, orthonormal bases, symmetric and hermitian matrices, first order non-linear equations, linear differential equations, Laplace transforms, Bessel functions, more. Includes 48 black-and-white illustrations. Exercises with solutions. Index.

Linear Algebra As An Introduction To Abstract Mathematics

Linear Algebra As An Introduction To Abstract Mathematics PDF Author: Bruno Nachtergaele
Publisher: World Scientific Publishing Company
ISBN: 9814723797
Category : Mathematics
Languages : en
Pages : 209

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Book Description
This is an introductory textbook designed for undergraduate mathematics majors with an emphasis on abstraction and in particular, the concept of proofs in the setting of linear algebra. Typically such a student would have taken calculus, though the only prerequisite is suitable mathematical grounding. The purpose of this book is to bridge the gap between the more conceptual and computational oriented undergraduate classes to the more abstract oriented classes. The book begins with systems of linear equations and complex numbers, then relates these to the abstract notion of linear maps on finite-dimensional vector spaces, and covers diagonalization, eigenspaces, determinants, and the Spectral Theorem. Each chapter concludes with both proof-writing and computational exercises.