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*PRE-ORDER, APPROX 4-6 BUSINESS DAYS* Linear Algebra A Modern Introduction 5th Edition by David Poole 9798214405896 [ZZ]

*PRE-ORDER, APPROX 4-6 BUSINESS DAYS* Linear Algebra A Modern Introduction 5th Edition by David Poole 9798214405896 [ZZ]

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Cengage International Edition. Paperback, Cengage

Poole’s "Linear Algebra: A Modern Introduction, Cengage International Edition", 5th, prepares students to transition from computational to theoretical mathematics. Balancing theory and application, the conversational writing style combines traditional presentation with student-centered learning. Theoretical, computational and applied topics are presented in a flexible, integrated way. Stressing geometric understanding before computational techniques, vectors and vector geometry are introduced early to help students visualize concepts and develop mathematical maturity for abstract thinking. Numerous applications drawn from a variety of disciplines reinforce that linear algebra is a valuable tool for modeling real-life problems. End-of-section exercises in WebAssign allow students to practice linear algebra concepts and techniques. Learning objectives in each section serve as a guide for students and instructors.

What's New

  • 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.

Features

  • 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.