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

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: 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

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

Applied Linear Algebra (Olver Peter J.)(Pevná vazba)

Differential Equations and Linear Algebra (Strang Gilbert)(Pevná vazba)

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 for Everyone (Strang Gilbert (Massachusetts Institute of Technology))(Pevná vazba)

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,

Introduction to Applied Linear Algebra (Boyd Stephen)(Pevná vazba)

This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are

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

Mathematics for Machine Learning (Deisenroth Marc Peter)(Pevná vazba)

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or

Mathematics for Physicists: Introductory Concepts and Methods (Altland Alexander)(Pevná vazba)

This textbook is a comprehensive introduction to the key disciplines of mathematics - linear algebra, calculus, and geometry - needed in the undergraduate physics curriculum. Its leitmotiv is that success in learning these subjects depends on a good balance between theory and practice. Reflecting

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 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 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

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

Elizabeth David's Christmas (David Elizabeth)(Pevná vazba)

Algebra 4th Edition - Baldor (Baldor Aurelio Dr)(Pevná vazba)

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

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