EBookClubs

Read Books & Download eBooks Full Online

EBookClubs

Read Books & Download eBooks Full Online

Book Elementary Linear Algebra  8e  International Metric Edition

Download or read book Elementary Linear Algebra 8e International Metric Edition written by Ron Larson and published by . This book was released on 2017-02-03 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Introduction to Applied Linear Algebra

Download or read book Introduction to Applied Linear Algebra written by Stephen Boyd and published by Cambridge University Press. This book was released on 2018-06-07 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Book Wie Elementary Linear Algebra 8e Update  Internati Onal Edition

Download or read book Wie Elementary Linear Algebra 8e Update Internati Onal Edition written by Ha Anton and published by . This book was released on 2004-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract.

Book Errata to Accompany Elementary Linear Algebra 8e Applications Version

Download or read book Errata to Accompany Elementary Linear Algebra 8e Applications Version written by Howard Anton and published by . This book was released on 2000-04-01 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Elementary Linear Algebra

Download or read book Elementary Linear Algebra written by Howard Anton and published by John Wiley & Sons. This book was released on 2013-11-04 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elementary Linear Algebra 11th edition gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students. The aim is to present the fundamentals of linear algebra in the clearest possible way; pedagogy is the main consideration. Calculus is not a prerequisite, but there are clearly labeled exercises and examples (which can be omitted without loss of continuity) for students who have studied calculus.

Book Elementary Linear Algebra 8E with Egrade V1  5 Student Learning Guide Set

Download or read book Elementary Linear Algebra 8E with Egrade V1 5 Student Learning Guide Set written by Howard Anton and published by Wiley. This book was released on 2001-11-01 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advanced Linear Algebra

    Book Details:
  • Author : Steven Roman
  • Publisher : Springer Science & Business Media
  • Release : 2007-12-31
  • ISBN : 038727474X
  • Pages : 488 pages

Download or read book Advanced Linear Algebra written by Steven Roman and published by Springer Science & Business Media. This book was released on 2007-12-31 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers a notably broad range of topics, including some topics not generally found in linear algebra books Contains a discussion of the basics of linear algebra

Book Applied Linear Algebra

Download or read book Applied Linear Algebra written by Peter J. Olver and published by Springer. This book was released on 2018-05-30 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across modern applied mathematics. Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an in-depth first course, or an application-driven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical flow of the core material has been improved. Throughout, the text emphasizes the conceptual connections between each application and the underlying linear algebraic techniques, thereby enabling students not only to learn how to apply the mathematical tools in routine contexts, but also to understand what is required to adapt to unusual or emerging problems. No previous knowledge of linear algebra is needed to approach this text, with single-variable calculus as the only formal prerequisite. However, the reader will need to draw upon some mathematical maturity to engage in the increasing abstraction inherent to the subject. Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. The first author’s text, Introduction to Partial Differential Equations, is an ideal companion volume, forming a natural extension of the linear mathematical methods developed here.

Book Iterative Methods for Sparse Linear Systems

Download or read book Iterative Methods for Sparse Linear Systems written by Yousef Saad and published by SIAM. This book was released on 2003-04-01 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- General.

Book Linear Algebra for Economists

Download or read book Linear Algebra for Economists written by Fuad Aleskerov and published by Springer Science & Business Media. This book was released on 2011-08-18 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces students of economics to the fundamental notions and instruments in linear algebra. Linearity is used as a first approximation to many problems that are studied in different branches of science, including economics and other social sciences. Linear algebra is also the most suitable to teach students what proofs are and how to prove a statement. The proofs that are given in the text are relatively easy to understand and also endow the student with different ways of thinking in making proofs. Theorems for which no proofs are given in the book are illustrated via figures and examples. All notions are illustrated appealing to geometric intuition. The book provides a variety of economic examples using linear algebraic tools. It mainly addresses students in economics who need to build up skills in understanding mathematical reasoning. Students in mathematics and informatics may also be interested in learning about the use of mathematics in economics.

Book Elementary Linear Algebra

Download or read book Elementary Linear Algebra written by Ron Larson and published by Brooks/Cole Publishing Company. This book was released on 2008 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cornerstone of Elementary Linear Algebra is the authors' clear, careful, and concise presentation of material--written so that students can fully understand how mathematics works. This program balances theory with examples, applications, and geometric intuition for a complete, step-by-step learning system.The Sixth Edition incorporates up-to-date coverage of Computer Algebra Systems (Maple/MATLAB/Mathematica); additional support is provided in a corresponding technology guide. Data and applications also reflect current statistics and examples to engage students and demonstrate the link between theory and practice.

Book Elementary Linear Algebra

    Book Details:
  • Author : Howard Anton
  • Publisher :
  • Release : 2015
  • ISBN : 9788126562961
  • Pages : 769 pages

Download or read book Elementary Linear Algebra written by Howard Anton and published by . This book was released on 2015 with total page 769 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Elementary Linear Algebra W Application 8th Edition Update Package with Student Solutions Manual Set

Download or read book Elementary Linear Algebra W Application 8th Edition Update Package with Student Solutions Manual Set written by Howard Anton and published by John Wiley & Sons. This book was released on 2004-07-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Elementary Linear Algebra

Download or read book Elementary Linear Algebra written by Ron Larson and published by Thomson Brooks/Cole. This book was released on 2012-03-06 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cornerstone of ELEMENTARY LINEAR ALGEBRA 7E, International Edition is Larson's clear, careful, and concise presentation of material—written so that students can fully understand how mathematics works. This program balances theory with examples, applications, and geometric intuition for a complete, step-by-step learning system. Featuring a new design that highlights the relevance of the mathematics and improves readability for students, the Seventh Edition also incorporates new conceptual Capstone exercises that reinforce multiple concepts in each section. Data and applications reflect current statistics and examples to engage students and demonstrate the link between theory and practice. Cengage Learning's Enhanced WebAssign®, which allows you to create online homework assignments that draw from thousands of the text's end-of-chapter questions, is available with the text.

Book Thirty three Miniatures

Download or read book Thirty three Miniatures written by Jiří Matoušek and published by American Mathematical Soc.. This book was released on 2010 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains a collection of clever mathematical applications of linear algebra, mainly in combinatorics, geometry, and algorithms. Each chapter covers a single main result with motivation and full proof in at most ten pages and can be read independently of all other chapters (with minor exceptions), assuming only a modest background in linear algebra. The topics include a number of well-known mathematical gems, such as Hamming codes, the matrix-tree theorem, the Lovasz bound on the Shannon capacity, and a counterexample to Borsuk's conjecture, as well as other, perhaps less popular but similarly beautiful results, e.g., fast associativity testing, a lemma of Steinitz on ordering vectors, a monotonicity result for integer partitions, or a bound for set pairs via exterior products. The simpler results in the first part of the book provide ample material to liven up an undergraduate course of linear algebra. The more advanced parts can be used for a graduate course of linear-algebraic methods or for seminar presentations. Table of Contents: Fibonacci numbers, quickly; Fibonacci numbers, the formula; The clubs of Oddtown; Same-size intersections; Error-correcting codes; Odd distances; Are these distances Euclidean?; Packing complete bipartite graphs; Equiangular lines; Where is the triangle?; Checking matrix multiplication; Tiling a rectangle by squares; Three Petersens are not enough; Petersen, Hoffman-Singleton, and maybe 57; Only two distances; Covering a cube minus one vertex; Medium-size intersection is hard to avoid; On the difficulty of reducing the diameter; The end of the small coins; Walking in the yard; Counting spanning trees; In how many ways can a man tile a board?; More bricks--more walls?; Perfect matchings and determinants; Turning a ladder over a finite field; Counting compositions; Is it associative?; The secret agent and umbrella; Shannon capacity of the union: a tale of two fields; Equilateral sets; Cutting cheaply using eigenvectors; Rotating the cube; Set pairs and exterior products; Index. (STML/53)

Book Mathematics for Machine Learning

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Book Elementary Linear Algebra

Download or read book Elementary Linear Algebra written by Howard Anton and published by John Wiley & Sons. This book was released on 2013-11-04 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elementary Linear Algebra: Applications Version, 11th Edition gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students. The aim is to present the fundamentals of linear algebra in the clearest possible way; pedagogy is the main consideration. Calculus is not a prerequisite, but there are clearly labeled exercises and examples (which can be omitted without loss of continuity) for students who have studied calculus.