Linear Algebra (2nd Edition) (Chinese Edition) - Tapa blanda

Linear Algebra (2nd Edition University of mathematics tutorial)(Chinese Edition)

Librería:

liu xing
(Nanjing JiangSu, JS, China)

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Descripción paperback. Condición: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 172 Publisher: Higher Education Pub. Date :2011-06-01 version 2 by Liu and Wu Zhen sub-editor of Linear Algebra non-math majors according to institutions of higher learning linear algebra curriculum and syllabus requirements . in the absorption of the advantages of teaching excellence at home and abroad. and with many years of teaching experience on the basis of written in. The main contents include matrix. n-dimensional vector. linear equations. eigenvalues ??and eigenvectors. quadratic forms. Book into account the different professions. different hours of need. appropriate arrangements for a number of selected study sections. Among them. plus a * are higher in mathematics content professional use. plus two * are available for teachers to use the content or there is spare capacity of the students reading. Each chapter book with MATLAB computing instances. reference books at the end with exercises and answers to mathematical modeling application examples. Linear Algebra for colleges and universities use non-math majors. but also for scientists studying reference. Readers can browse and download log http:202.194.15.128xxds national quality teaching resources. Contents: Chapter 1. 1.1 Matrix Matrix concept 1 introduced the concept of the matrix 2 matrix defined 3 types of special matrix operation matrix 1.2 1 matrix of the linear operator 2 matrix multiplication 3 matrix matrix transpose 1.3 and nature of the determinant 1 matrix of determinant 2 determinant of the nature of the 3 primary determinant of the transformation and application of 1.4 the rank of a matrix. Gauss elimination method (2) matrix elementary transformation 3 matrix of rank 4 full rank matrix 1.5 elementary matrix and inverse matrix 1 elementary matrix 2 inverse 1.6 block matrix 1 2 block matrix concept. 3 block matrix operation. standard of diagonal matrix 1.7 using MATLAB matrix operations Exercises 1 Chapter 2 2.1n-dimensional n-dimensional vector and vector-vector operations 1.n concept 2.n-dimensional vector of linear operators 2.2 linear correlation vector group 1 The concept of linear correlation (2) linear correlation theorem of 2.3 to determine the vector group of rank 1 linearly independent vectors of a great group of 2 vectors of rank and seek method 3. a great group of linearly independent Method to 2.4 the vector space 1 The concept of vector space 2 with the vector space dimension of the base 3. vector coordinates in the base under 2.5 of orthogonal vectors orthogonal matrix 1.n with the inner product of 2-dimensional vectors. standardized set of orthogonal vectors 3 orthogonal matrix 2.6 vector operations using MATLAB Exercises 2 Chapter 3 3.1 linear homogeneous system of linear equations 1 homogeneous linear equations of the basic concepts of 2-homogeneous property of solutions of linear equations 3 homogeneous linear system of equations and seek solutions based method 3.2 Non-homogeneous linear equations 1 linear equations of compatibility (2) non-homogeneous linear equations the nature of the solution 3. non-homogeneous linear equations 3.3 Solution of linear equations using MATLAB to solve Problem 3 Chapter 4 eigenvalues ??and eigenvectors 4.1 eigenvalues ??and eigenvectors 1 similarity matrix 2 . eigenvalues ??and eigenvectors of the definition 3. Eigenvalues ??and Eigenvectors Method to 4 eigenvalues ??and eigenvectors of the nature of the 5 4.2 Application examples of similar diagonal matrix 1 matrix with the diagonal matrix similar to condition 2. matrix diagonalization method similar to 3 4.3 Application examples of similar real symmetric matrix diagonalization 1 real symmetric matrix of eigenvalues ??and eigenvectors of the nature of the 2 real symmetric matrix of similar diagonal 3 matrix of contracts 4.4 Using MATLAB to find the eigenvalues ??and eigenvectors Problem 4 Chapter 5 Quadratic 5.1 The concept of a quadrat. Nº de ref. del artículo: LG0375

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