Linear Methods

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A01=David Hecker
A01=Stephen Andrilli
Adjacency Matrix
Applications
Author_David Hecker
Author_Stephen Andrilli
business mathematics applications
Category=PBF
Clockwise Rotation
Connected Graph
Counterclockwise Rotation
Decimal Point
Directed Edges
Distinct Vertices
Elgenvalues
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Equation Ax
Gauss Jordan Method
Geometric Transformations
Gram Schmidt Process
graph theory fundamentals
Homogeneous Coordinates
introductory matrix theory
Liberal arts mathematics
Linear algebra
linear algebra for non-math students
Linear Regression
mathematical proofs basics
Matrix Multiplication
Matrix Transformation
Mir Resort
Non-math majors
Nonsingular Matrices
Nonsingular Matrix
Orthogonal Matrices
Orthogonal Matrix
Orthonormal Set
Quadratic Polynomial
Reduced Row Echelon Form
regression analysis techniques
Skew Symmetric Matrix
Square Matrix
Stephen Andrilli
vector spaces concepts
Vectors

Product details

  • ISBN 9781138062924
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 09 Aug 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Linear Methods: A General Education Course is expressly written for non-mathematical students, particularly freshmen taking a required core mathematics course. Rather than covering a hodgepodge of different topics as is typical for a core mathematics course, this text encourages students to explore one particular branch of mathematics, elementary linear algebra, in some depth. The material is presented in an accessible manner, as opposed to a traditional overly rigorous approach. While introducing students to useful topics in linear algebra, the book also includes a gentle introduction to more abstract facets of the subject.

Many relevant uses of linear algebra in today’s world are illustrated, including applications involving business, economics, elementary graph theory, Markov chains, linear regression and least-squares polynomials, geometric transformations, and elementary physics. The authors have included proofs of various important elementary theorems and properties which provide readers with the reasoning behind these results.

Features:

  • Written for a general education core course in introductory mathematics
  • Introduces elementary linear algebra concepts to non-mathematics majors
  • Provides an informal introduction to elementary proofs involving matrices and vectors
  • Includes useful applications from linear algebra related to business, graph theory, regression, and elementary physics

Authors Bio:

David Hecker is a Professor of Mathematics at Saint Joseph's University in Philadelphia. He received his Ph.D. from Rutgers University and has published several journal articles. He also co-authored several editions of Elementary Linear Algebra with Stephen Andrilli.

Stephen Andrilli is a Professor in the Mathematics and Computer Science Department at La Salle University in Philadelphia. He received his Ph.D. from Rutgers University and also co-authored several editions of Elementary Linear Algebra with David Hecker.

David Hecker is a Professor of Mathematics at Saint Joseph's University in Philadelphia. He received his Ph.D. from Rutgers University and has published several journal articles. He also co-authored several editions of Elementary Linear Algebra with Stephen Andrilli.

Stephen Andrilli is a Professor in the Mathematics and Computer Science Department at La Salle University in Philadelphia. He received his Ph.D. from Rutgers University and also co-authored several editions of Elementary Linear Algebra with David Hecker.

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