E-books in Linear Algebra category by William Thomson, 1882 Every important principle has been illustrated by copious examples, a considerable number of which have been fully worked out. As my main object has been to produce a textbook suitable for beginners, many important theorems have been omitted. ( 513 views) by Simon J.A. Malham - Heriot-Watt University, 2010 From the table of contents: Linear second order ODEs; Homogeneous linear ODEs; Non-homogeneous linear ODEs; Laplace transforms; Linear algebraic equations; Matrix Equations; Linear algebraic eigenvalue problems; Systems of differential equations. ( 858 views) by Vasilios N. Katsikis - InTech, 2016 Topics: Matrices, Moments and Quadrature; Structured Approaches to General Inverse Eigenvalue Problems; Eigenvalue Problems; Nonnegative Inverse Elementary Divisors Problem; Some Recent Advances in Nonlinear Inverse Scattering in 2D; and more. ( 2184 views) by Charles L.
Byrne - University of Massachusetts Lowell, 2013 This book is a text for a graduate course that focuses on applications of linear algebra and on the algorithms used to solve the problems that arise in those applications. Tthe particular nature of the applications will prompt us to seek algorithms. ( 5145 views) by G. Donald Allen - Texas A&M University, 2003 Contents: Vectors and Vector Spaces; Matrices and Linear Algebra; Eigenvalues and Eigenvectors; Unitary Matrices; Hermitian Theory; Normal Matrices; Factorization Theorems; Jordan Normal Form; Hermitian and Symmetric Matrices; Nonnegative Matrices. ( 8400 views) by Peter J. Cameron - Queen Mary, University of London, 2008 On the theoretical side, we deal with vector spaces, linear maps, and bilinear forms.
On the practical side, the subject is really about one thing: matrices. This module is a mixture of abstract theory and concrete calculations with matrices.
( 5782 views) by Hassan Abid Yasser (ed.) - InTech, 2012 This book contains selected topics in linear algebra, which represent the recent contributions in the field. It includes a range of theorems and applications in different branches of linear algebra, such as linear systems, matrices, operators, etc. ( 4098 views) by Yousef Saad - SIAM, 2011 This book discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods for solving matrix eigenvalue problems that arise in various engineering applications. ( 7605 views) by Peter Petersen - UCLA, 2007 This book covers the aspects of linear algebra that are included in most advanced undergraduate texts: complex vectors spaces, complex inner products, spectral theorem for normal operators, dual spaces, quotient spaces, the minimal polynomial, etc. ( 11497 views) by George Benthien, 2006 Tutorial describing many of the standard numerical methods used in Linear Algebra. Topics include Gaussian Elimination, LU and QR Factorizations, The Singular Value Decomposition, Eigenvalues and Eigenvectors via the QR Method, etc.
( 8177 views) by W.B.V. Kandasamy, F. Smarandache, K. Ilanthenral - arXiv, 2005 This book introduced a new algebraic structure called linear bialgebra. We have ventured in this book to introduce new concepts like linear bialgebra and Smarandache neutrosophic linear bialgebra and also give the applications of these structures. ( 6555 views) by W.
Kandasamy, F. Smarandache - InfoLearnQuest, 2008 This book is a continuation of the book n-linear algebra of type I. Most of the properties that could not be derived or defined for n-linear algebra of type I is made possible in this new structure which is introduced in this book. ( 6446 views) by W.
Kandasamy, F. Smarandache - InfoLearnQuest, 2008 n-Linear Algebra of type I introduced in this book finds applications in Markov chains and Leontief economic models. Scientists and engineers can adopt this concept in fuzzy finite element analysis of mechanical structures with uncertain parameters. ( 6419 views) by W.
Kandasamy, F. Smarandache, K. Ilanthenral - CuArt, 2009 Special Set Linear Algebras introduced by the authors in this free book is an extension of Set Linear Algebras, which are the most generalized form of linear algebras. These structures can be applied to multi-expert models. ( 5876 views) by W.
Kandasamy, F. Smarandache, K. Ilanthenral - InfoLearnQuest, 2008 Set linear algebras, introduced by the authors in this book, are the most generalized form of linear algebras. These structures make use of very few algebraic operations and are easily accessible to non-mathematicians as well. ( 7295 views) by James V. Herod - Georgia Tech, 1997 These notes are about linear operators on Hilbert Spaces. The text is an attempt to provide a way to understand the ideas without the students already having the mathematical maturity that a good undergraduate analysis course could provide.
( 7439 views) by Leif Mejlbro - BookBoon, 2009 The book is a collection of solved problems in linear algebra, this fourth volume covers quadratic equations in two or three variables. All examples are solved, and the solutions usually consist of step-by-step instructions. ( 8622 views) by Leif Mejlbro - BookBoon, 2009 The book is a collection of solved problems in linear algebra. The second volume covers geometrical vectors, vector spaces and linear maps. All examples are solved, and the solutions usually consist of step-by-step instructions. ( 8461 views) by Leif Mejlbro - BookBoon, 2009 The book is a collection of solved problems in linear equations, matrices and determinants. All examples are solved, and the solutions consist of step-by-step instructions, and are designed to assist students in methodically solving problems.
( 10868 views) by John Browne, 2001 The primary focus of this book is to provide a readable account in modern notation of Grassmann's major algebraic contributions to mathematics and science. It should be accessible to scientists and engineers, students and professionals alike. ( 9501 views) by S. Payne - University of Colorado Denver, 2009 This book is written as a text for a second semester of linear algebra at the senior or first-year-graduate level. It is assumed that you already have successfully completed a first course in linear algebra and a first course in abstract algebra. ( 12664 views) by Sergei Winitzki - Ludwig-Maximilians University, 2009 An introduction to the coordinate-free approach in basic finite-dimensional linear algebra. The reader should be already exposed to the elementary vector and matrix calculations.
Linear Algebra Notes Pdf
The author makes extensive use of the exterior product of vectors. ( 9426 views) by Richard Barrett et al. Society for Industrial Mathematics, 1987 The book focuses on the use of iterative methods for solving large sparse systems of linear equations.
General and reusable templates are introduced to meet the needs of both the traditional user and the high-performance specialist. ( 9791 views) by W. Kandasamy, F. Smarandache - InfoQuest, 2008 In this book, the authors introduce the notion of Super linear algebra and super vector spaces using the definition of super matrices defined by Horst (1963).
This book expects the readers to be well-versed in linear algebra. ( 9836 views) by Zico Kolter - Stanford University, 2015 From the tabble of contents: Basic Concepts and Notation; Matrix Multiplication; Operations and Properties; Matrix Calculus (Gradients and Hessians of Quadratic and Linear Functions, Least Squares, Eigenvalues as Optimization, etc.). ( 12762 views) by Ray M.
Bowen, C.-C.Wang - Springer, 2008 This book presents the basics of vector and tensor analysis for science and engineering students. Volume 1 covers algebraic structures and a modern introduction to the algebra of vectors and tensors. Clear presentation of mathematical concepts. ( 11694 views).