Concise Introduction to Linear Algebra

Regular price €61.50
A01=Qingwen Hu
advanced linear algebra concepts
Author_Qingwen Hu
Basic Feasible Solution
Category=PBF
Category=PBW
Column Space
determinants
eigenvalues and eigenvectors
Elementary Row Operation
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Finite Dimensional
Gram-Schmidt orthogonalization
Initial Basic Feasible Solution
Jordan Basis
Jordan Blocks
Jordan Chain
Jordan Normal Form
least squares estimation
Linear Operator
Linear Programming Problem
linear systens
Linearly Independent
LU Decomposition
Orthogonal Matrix
orthogonality
Permutation Matrix
positive definite matrices
QR Decomposition
quadratic forms
Real Matrix
Reduced Row Echelon Form
Representation Matrix
Row Echelon Form
Row Operations
Simplex Method
Simplex Tableau
spectral analysis
Transition Matrix
undergraduate mathematics
Vector Space
vector spaces
vectors

Product details

  • ISBN 9780367657703
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Sep 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

Qingwen Hu is Assistant Professor at the University of Texas at Dallas. His research interests include: dynamical systems; state-dependent delay differential equations and their applications in engineering and biology; equivariant degree theory and applications; nonlinear analysis; operations research.