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Concise Introduction to Linear Algebra deals with the subject of
linear algebra, covering vectors and linear systems, vector spaces,
orthogonality, determinants, eigenvalues and eigenvectors, singular
value decomposition. It adopts an efficient approach to lead
students from vectors, matrices quickly into more advanced topics
including, LU decomposition, orthogonal decomposition, Least
squares solutions, Gram-Schmidt process, eigenvalues and
eigenvectors, diagonalizability, spectral decomposition, positive
definite matrix, quadratic forms, singular value decompositions and
principal component analysis. This book is designed for onesemester
teaching to undergraduate students.
Concise Introduction to Linear Algebra deals with the subject of
linear algebra, covering vectors and linear systems, vector spaces,
orthogonality, determinants, eigenvalues and eigenvectors, singular
value decomposition. It adopts an efficient approach to lead
students from vectors, matrices quickly into more advanced topics
including, LU decomposition, orthogonal decomposition, Least
squares solutions, Gram-Schmidt process, eigenvalues and
eigenvectors, diagonalizability, spectral decomposition, positive
definite matrix, quadratic forms, singular value decompositions and
principal component analysis. This book is designed for onesemester
teaching to undergraduate students.
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