Linear Algebra

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A01=Larry E. Knop
Algebraic Multiplicity
Author_Larry E. Knop
basis and span
Category=PBF
Characteristic Polynomial
cofactor
column
computational methods for vector spaces
Connectivity Matrix
determinants
eigenvalue
elementary
Elementary Row Operations
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
expansion
Gauss Jordan Elimination
Geometric Multiplicity
Larry Knop
linear algebra
linear equation
linear independence
Linear System
linear transformation
Linearly Independent
Maple software
MATLAB applications
matrices
matrix
matrix computation
Nonparallel Vectors
Nonzero Vector
odd
PageRank
product
Reduced Row Echelon Form
Row Equivalent
Row Reduction
Scalar Multiplication
Solution Set
Span R2
Spanning Set
subspace
Tb TA
TI-83 calculator
transformation
undergraduate mathematics
vector space
Vector Space Property
Vector Space R2
vectors
Vk K2

Product details

  • ISBN 9781584887829
  • Weight: 1474g
  • Dimensions: 178 x 254mm
  • Publication Date: 28 Aug 2008
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Linear Algebra: A First Course with Applications explores the fundamental ideas of linear algebra, including vector spaces, subspaces, basis, span, linear independence, linear transformation, eigenvalues, and eigenvectors, as well as a variety of applications, from inventories to graphics to Google’s PageRank.

Unlike other texts on the subject, this classroom-tested book gives students enough time to absorb the material by focusing on vector spaces early on and using computational sections as numerical interludes. It offers introductions to Maple™, MATLAB®, and TI-83 Plus for calculating matrix inverses, determinants, eigenvalues, and eigenvectors.

Moving from the specific to the general, the author raises questions, provides motivation, and discusses strategy before presenting answers. Discussions of motivation and strategy include content and context to help students learn.

Hamilton College, Clinton, New York, USA

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