Linear Algebra

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A01=Hugo J. Woerdeman
Author_Hugo J. Woerdeman
Category=PB
Category=PBF
Characteristic Polynomial
Column Space
computational mathematics
Constant Polynomial
Counterclockwise
Cramer's Rule
DCT
Echelon Form
eigenvalue analysis
Elementary Row Operations
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Incidence Matrix
Linear algebra applications
Linear Dependence Relation
Linearly Independent
LU Factorization
mathematical proofs
Mathematical theory
MATLAB
matrix factorization methods
Multivariate statistics
Nonnegative Entries
Nonzero Diagonal Entries
Null Space
Numerical linear algebra
orthogonal projections
Partial Matrix
Pivot Columns
practical applications of linear algebra
Reduced Row Echelon Form
Row Echelon Form
Row Reducing
Row Space
Scalar Multiplication
Square Matrix
Vector Space
Vector Space Axioms
vector space theory

Product details

  • ISBN 9780367697389
  • Weight: 680g
  • Dimensions: 156 x 234mm
  • Publication Date: 05 Mar 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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There is good reason to be excited about Linear Algebra. With the world becoming increasingly digital, Linear Algebra is gaining more and more importance. When we send texts, share video, do internet searches, there are Linear Algebra algorithms in the background that make it work.

This concise introduction to Linear Algebra is authored by a leading researcher presents a book that covers all the requisite material for a first course on the topic in a more practical way.

The book focuses on the development of the mathematical theory and presents many applications to assist instructors and students to master the material and apply it to their areas of interest, whether it be to further their studies in mathematics, science, engineering, statistics, economics, or other disciplines.

Linear Algebra has very appealing features:
•It is a solid axiomatic based mathematical theory that is accessible to a large variety of students.
•It has a multitude of applications from many different fields, ranging from traditional science and engineering applications to more ‘daily life’ applications.
•It easily allows for numerical experimentation through the use of a variety of readily available software (both commercial and open source).

Several suggestions of different software are made. While MATLAB is certainly still a favorite choice, open-source programs such as Sage (especially among algebraists) and the Python libraries are increasingly popular. This text guides the student to try out different programs by providing specific commands.

Hugo J. Woerdeman, PhD, professor, Department of Mathematics, Drexel University, Philadelphia, Pennsylvania, USA, is also the author of Advanced Linear Algebra, published by CRC Press, and a co-author of Matrix Completions, Moments, and Sums of Squares, published by Princeton University Press. He also serves as Vice President of two societies of researchers: The International Linear Algebra Society and The International Workshop on Operator Theory and its Applications.

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