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Linear Algebra
An Introduction Using Maple
1st Edition - June 22, 2001
Author: Fred Szabo
Other ISBN:9780080926193
9 7 8 - 0 - 0 8 - 0 9 2 6 1 9 - 3
Linear Algebra: An Introduction Using MAPLE is a text for a first undergraduate course in linear algebra. All students majoring in mathematics, computer science, engineering,… Read more
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Linear Algebra: An Introduction Using MAPLE is a text for a first undergraduate course in linear algebra. All students majoring in mathematics, computer science, engineering, physics, chemistry, economics, statistics, actuarial mathematics and other such fields of study will benefit from this text. The presentation is matrix-based and covers the standard topics for a first course recommended by the Linear Algebra Curriculum Study Group. The aim of the book is to make linear algebra accessible to all college majors through a focused presentation of the material, enriched by interactive learning and teaching with MAPLE.
Development of analytical and computational skills is emphasized throughout Worked examples provide step-by-step methods for solving basic problems using Maple The subject's rich pertinence to problem solving across disciplines is illustrated with applications in engineering, the natural sciences, computer animation, and statistics
Using Maple Random Matrices Row And Column Vectors Dot Products And Matrix Multiplication Assignments And Procedures Solving Linear Systems Matrix Decomposition Determinants And Norms Geometry Special Symbols Maple Help Integrated Tutorial
Linear Systems Linear Equations Linear Systems Solving Linear Systems Matrices And Linear Systems Augmented Matrices Row Echelon Matrices Reduced Row Echelon Matrices Matrix Equations Applications Review
Matrix Algebra Introduction Basic Matrix Operations A Lexicon Of Matrices Invertible Matrices Orthogonal Matrices The Lu Decomposition Applications Review
Determinants The Laplace Expansion Applications Review
Vectorspaces Real Vector Spaces Bases And Dimension Subspaces Complex Vector Spaces Review
Linear Transformations Linear Transformations Matrices Of Linear Transformations Images And Kernels Similarity Review
Norms And Inner Products Euclidean Norms And Dot Products Non-Euclidean Norms Real Inner Products Angles Quadratic Forms Complex Inner Products Review
Orthogonality Orthogonal Vectors Orthogonal Bases Orthonormal Bases The Qr Decomposition Orthogonal Matrices Orthogonal Subspaces Orthogonal Transformations The Method Of Least Squares Review
Singular Values And Singular Vectors Singular Values Singular Value Decomposition Applications Review
A The Fundamental Theorem Of Algebra
B Numerical Calculations
C Mathematical Induction
D Sigmanotation
E Maple Packages The Combinat Package The Geometry Package The Linalg Package The Linearalgebra Package The Networks Package The Plots Package The Plottools Package The Stats Package
F Answers To Odd-Numbered Exercises Linear Systems Matrix Algebra Determinants Vector Spaces Linear Transformations Eigenvalues And Eigenvectors Norms And Inner Products Orthogonality Singular Values And Singular Vectors
Index
No. of pages: 726
Language: English
Published: June 22, 2001
Imprint: Academic Press
Other ISBN: 9780080926193
FS
Fred Szabo
Author of:
The Linear Algebra Survival Guide, 1st Edition
Actuaries' Survival Guide, 2nd Edition
Actuaries' Survival Guide, 1st Edition
Linear Algebra: An Introduction using Maple, 1st Edition
Linear Algebra: An Introduction using Mathematica, 1st Edition
Fred E. Szabo is professor in the Department of Mathematics and Statistics at Concordia University in Canada. He completed his undergraduate studies at Oxford University under the guidance of Sir Michael Dummett and received a Ph.D. in mathematics from McGill University under the supervision of Joachim Lambek. After postdoctoral studies at Oxford University and visiting professorships at several European universities, he returned to Concordia University as a faculty member and dean of graduate studies. For more than twenty years, he developed methods for the teaching of mathematics with technology. In 2012 he was honored at the annual Wolfram Technology Conference for his work on "A New Kind of Learning" with a Wolfram Innovator Award. He is currently professor and Provost Fellow at Concordia University.
Affiliations and expertise
Department of Mathematics, Concordia University, Montreal, Quebec, Canada