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

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

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: 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

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 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

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

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

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

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

First Course in Abstract Algebra, A: Pearson New International Edition (Fraleigh John B.)(Paperback / softback)

Considered a classic by many, A First Course in Abstract Algebra is an in-depth introduction to abstract algebra. Focused on groups, rings and fields, this text gives students a firm foundation for more specialized work by emphasizing an understanding of the nature of algebraic

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

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

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

Elementary Differential Geometry, Revised 2nd Edition (O'Neill Barrett)(Pevná vazba)

Written primarily for students who have completed the standard first courses in calculus and linear algebra, Elementary Differential Geometry, Revised 2nd Edition, provides an introduction to the geometry of curves and surfaces. The Second Edition maintained the accessibility of the first, while

A First Course in Mathematical Modeling (Giordano Frank R.)(Pevná vazba)

Offering a solid introduction to the entire modeling process, A FIRST COURSE IN MATHEMATICAL MODELING, 5th Edition delivers an excellent balance of theory and practice, and gives you relevant, hands-on experience developing and sharpening your modeling skills. Throughout, the book emphasizes key

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

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 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

A First Course in Machine Learning (Rogers Simon)(Pevná vazba)

'A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes

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

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

Financial Accounting (Kemp Robert)(Pevná vazba)

For introductory courses in Financial Accounting. Understanding Financial Accounting as the Language of Business Once individuals see that accounting is the language of business, they are on their way to academic and professional success. Financial Accounting translates the essentials of