Elementary Linear Algebra

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A01=Bessie H. Kirkwood
A01=James R. Kirkwood
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Advanced Linear Algebra
Algebraic Dimension
Algebraic Dual
Author_Bessie H. Kirkwood
Author_James R. Kirkwood
Bessie H. Kirkwood
Category=PBF
Category=PBW
computational techniques
computer science fundamentals
Continuous Linear Functional
Determinants
economic modeling
engineering applications
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Finite Dimensional
Finite Dimensional Vector Space
Gram Schmidt Process
Irreducible Quadratic Factor
Jordan Canonical Form
Linear Algebra
linear algebra for STEM students
Linear Transformation
Matrix Representation
Matrix Theory (Theory of Matrices)
Null Space
Orthonormal Basis
Riesz Representation Theorem
Self-adjoint Matrix
Spectral Theorem
statistics for scientists
undergraduate mathematics
Vector Space
Vector Spaces

Product details

  • ISBN 9781032476384
  • Weight: 620g
  • Dimensions: 178 x 254mm
  • Publication Date: 21 Jan 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Elementary Linear Algebra is written for the first undergraduate course. The book focuses on the importance of linear algebra in many disciplines such as engineering, economics, statistics, and computer science. The text reinforces critical ideas and lessons of traditional topics. More importantly, the book is written in a manner that deeply ingrains computational methods.

Jim R. Kirkwood holds a Ph.D. from the University of Virginia. He has had ten mathematics textbooks published on various topics including calculus, real analysis, mathematical biology and mathematical physics. His original research was in mathematical physics, and he co-authored the seminal paper in a topic now called Kirkwood-Thomas Theory in mathematical physics. During the summer, he teaches real analysis to graduate students at the University of Virginia. He has been awarded several National Science Foundation grants

Bessie H. Kirkwood also holds a Ph.D. from the University of Virginia, where she worked as a statistical consultant. She co-authored several papers in the publications such as the Journal of Algebra and the Journal of Multivariate Analysis. She was also a professor of mathematics at Sweet Briar College.

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