chapter 1fundament for matlab1 1.1matlab desk 1.2vectors and matrices7 1.3matlab programming11 chapter 2introduction to vectors and matrices20 2.1vectors and linear bination20 2.2lengths and dot products28 2.3matrices31 chapter 3solving linear equations40 3.1vectors and linear equations40 3.2the idea of elimination45 3.3elimination using matrices52 3.4inverse matrices58 chapter 4vector spaces and subspaces62 4.1spaces of vectors62 4.2the nullspace of matrix64 4.3the rank and linear dependence68 chapter 5orthogonality71 5.1 projections71 5.2least squares appromations75 5.3orthogonal bases and gram-schmidt process80 chapter 6determinants85 6.1 the properties of determinants85 6.2permutations and cofactors92 6.3cramer’s rule98 chapter 7eigenvalues and eigenvectors102 7.1introduction to eigenvalues102 7.2similar matrices and diagonalization of matrices105 7.3singular value deition109 chapter 8linear algebra in image processing112 8.1digital image representation112 8.2geometric transformation using matrix operation114 8.3image restoration using inverse matrix117 8.4image fusion using principal ponent analysis119 8.5image pression using singular value deition120 references122
以下为对购买帮助不大的评价