Basic Linear Algebra (Blyth T. S.)(Paperback)

Further Linear Algebra (Blyth T. S.)(Paperback)

This book is the sequel to one of SUMS' best-selling titles, Basic Linear Algebra. The first chapter recaps the prerequisites for those unfamiliar with the first volume and, as with the first volume, there is a wealth of illustrative and worked examples, and exercises with solutions. The book also

Basic Linear Algebra (Blyth T. S.)(Paperback)

One of SUMS' most popular and best-selling titles, this book covers the most important basics of any first course on linear algebra. This new and revised edition also features additional exercises, new material on Cramer's rule and an extra chapter on computer

A First Course in Linear Algebra (Beezer Robert A.)(Pevná vazba)

A First Course in Linear Algebra is an introduction to the basic concepts of linear algebra, along with an introduction to the techniques of formal mathematics. It begins with systems of equations and matrix algebra before moving into the theory of abstract vector spaces, eigenvalues, linear

No Bullshit Guide to Linear Algebra (Savov Ivan)(Paperback)

Linear algebra is the foundation of science and engineering. Knowledge of linear algebra is a prerequisite for studying statistics, machine learning, computer graphics, signal processing, chemistry, economics, quantum mechanics, and countless other applications. Indeed, linear algebra offers a

Linear Algebra: A Geometric Approach (Shifrin Ted)(Pevná vazba)

Presenting the standard computational aspects of linear algebra, Linear Algebra includes a variety of intriguing applications geared toward science and engineering

Introduction to Linear Algebra (Stewart Frank M.)(Paperback)

Linear Algebra with Applications (Holt Jeffrey)(Paperback)

Prepare for conceptual thinking in an abstract setting as Linear Algebra with Applications blends computational and conceptual topics through a large assortment of examples to improve your comfort with the rigors of the subject

Linear Algebra: Step by Step (Singh Kuldeep)(Paperback)

Linear algebra is a fundamental area of mathematics, and is arguably the most powerful mathematical tool ever developed. It is a core topic of study within fields as diverse as: business, economics, engineering, physics, computer science, ecology, sociology, demography and genetics. For an example

Linear Algebra for Dummies (Sterling Mary Jane)(Paperback)

Learn to: Solve linear algebra equations in several ways Put data in order with matrices Determine values with determinants Work with eigenvalues and eigenvectors Your hands-on guide to real-world applications of linear algebra Does linear algebra leave you feeling lost? No worries --this

Linear Algebra Done Right (Axler Sheldon)(Paperback)

This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector

Linear Algebra with Applications, Global Edition (Leon Steven)(Paperback / softback)

Linear Algebra: Pearson New International Edition (Friedberg Stephen)(Paperback / softback)

3,000 Solved Problems in Linear Algebra (Lipschutz Seymour)(Paperback)

Master linear algebra with Schaum's--the high-performance solved-problem guide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams! Students love Schaum's Solved Problem Guides because they produce results. Each year, thousands of students improve

Linear Algebra and Its Applications, Global Edition (Lay David)(Paperback / softback)

Linear Algebra (Meckes Elizabeth S.)(Pevná vazba)

Linear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course. Written for students in pure and applied mathematics, as well as physics, engineering, and computer science, it is designed to facilitate the transition from calculus to advanced

Linear Algebra (Hefferon Jim)(Paperback)

This text covers a standard first course: Gauss's Method, vector spaces, linear maps and matrices, determinants, and eigenvalues and eigenvectors. In addition, each chapter ends with some brief topics, such as applications.What sets it apart is careful motivation, many examples, and extensive

Linear Algebra and Geometry (Cuoco Al)(Pevná vazba)

Organised around carefully sequenced problems, Linear Algebra and Geometry will help students build both the tools and the habits that provide a solid basis for further study in mathematics. This volume uses elementary geometry to build the beautiful edifice of results and methods that make linear

Linear Algebra - Concepts and Applications (Bogacki Przemyslaw)(Pevná vazba)

Provides a complete coverage of core linear algebra topics, including vectors and matrices, systems of linear equations, general vector spaces, linear transformations, eigenvalues, and eigenvectors. All results are carefully, clearly, and rigorously proven. The exposition is very

Applied Linear Algebra - The Decoupling Principle (Sadun Lorenzo)(Pevná vazba)

Linear algebra permeates mathematics, as well as physics and engineering. This book treats diagonalization as a central tool in solving complicated problems in these subjects by reducing coupled linear evolution problems to a sequence of simpler decoupled

Introduction to Linear Algebra (Lang Serge)(Pevná vazba)

This book is a short text in linear algebra, intended for a one-term course. Lang discusses the relation between the geometry and the algebra underlying the subject, and includes sections on linear equations, matrices and Gaussian elimination, and vector spaces, linear maps, scalar products,

Linear Algebra Done Right (Axler Sheldon)(Pevná vazba)

This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector

Linear Algebra (Lang Serge)(Pevná vazba)

'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 and proceeds to explain the fundamental structure theorem for linear maps, including eigenvectors and eigenvalues, quadratic and hermitian forms,

Linear Algebra and Learning from Data (Strang Gilbert)(Pevná vazba)

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

Introduction to Quantum Algorithms Via Linear Algebra, Second Edition (Lipton Richard J.)(Pevná vazba)

Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background in physics. This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but requires minimal