線性代數

●OVER 200 NEW OR REVISED END-OF-SECTION EXERCISES, including Chapter Review questions are present.
●IMPROVED CLARITY and a new four-color textbook design allow for rules, definitions, theorems, figures and tables to be highlighted distinctly.
●NEW APPLICATIONS related to disciplines such as statistics, data science and machine learning include coverage of correlation, standard deviation, variance and covariance.
●LEARNING OBJECTIVES are now in every section of the book as a useful guide to both students and instructors.

●A CLEAR WRITING STYLE that is simple, direct and conversational, while maintaining rigorous proof coverage, is present.
●AVAILABLE WITH WEBASSIGN, the text will help your students build problem-solving skills and develop conceptual understanding.
●EXPLORATONS AND WRITING PROJECTS designed for individual or group work provide hands-on learning opportunities. Explorations are available to assign within WebAssign.
●A VARIETY OF NUMERICAL LINEAR ALGEBRA TECHNIQUES are included such as pivoting strategies and iterative methods for solving linear systems.

David Poole is Professor of Mathematics at Trent University, where he has been a faculty member since 1984. Dr. Poole has won numerous teaching awards: Trent University's Symons Award for Excellence in Teaching (the university's top teaching award), three merit awards for teaching excellence, a 2002 Ontario Confederation of University Faculty Associations Teaching Award (the top university teaching award in the province), a 2003 3M Teaching Fellowship (the top university teaching award in Canada, sponsored by 3M Canada Ltd.), a 2007 Leadership in Faculty Teaching Award from the province of Ontario, and the Canadian Mathematical Society's 2009 Excellence in Teaching Award. From 2002-2007, Dr. Poole was Trent University's Associate Dean (Teaching & Learning). His research interests include discrete mathematics, ring theory, and mathematics education. He received his B.Sc. from Acadia University in 1976 before earning his M.Sc. (1977) and Ph.D. (1984) from McMaster University. When he is not doing mathematics, David Poole enjoys hiking and cooking, and he is an avid film buff.

Chapter 1: Vectors
Chapter 2: Systems of Linear Equations
Chapter 3: Matrices
Chapter 4: Eigenvalues and Eigenvectors
Chapter 5: Orthogonality
Chapter 6: Vector Spaces
Chapter 7: Distance and Approximation
Chapter 8: Codes
Appendices A: Mathematical Notation and Methods of Proof.
Appendices B: Mathematical Induction.
Appendices C: Complex Numbers.
Appendices D: Polynomials.
Appendices E: Technology Bytes.
Answer to Selected Odd-Numbered Exercises