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{ "item_title" : "Elementary Linear Algebra", "item_author" : [" Stephen Andrilli", "David Hecker "], "item_description" : "*Textbook and Academic Authors Association (TAA) Textbook Excellence Award Winner, 2024*Elementary Linear Algebra, Sixth Edition provides a solid introduction to both the computational and theoretical aspects of linear algebra, covering many important real-world applications, including graph theory, circuit theory, Markov chains, elementary coding theory, least-squares polynomials and least-squares solutions for inconsistent systems, differential equations, computer graphics and quadratic forms. In addition, many computational techniques in linear algebra are presented, including iterative methods for solving linear systems, LDU Decomposition, the Power Method for finding eigenvalues, QR Decomposition, and Singular Value Decomposition and its usefulness in digital imaging.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/12/822/978/0128229780_b.jpg", "price_data" : { "retail_price" : "145.00", "online_price" : "145.00", "our_price" : "145.00", "club_price" : "145.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Elementary Linear Algebra|Stephen Andrilli

Elementary Linear Algebra

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Overview

*Textbook and Academic Authors Association (TAA) Textbook Excellence Award Winner, 2024*

Elementary Linear Algebra, Sixth Edition provides a solid introduction to both the computational and theoretical aspects of linear algebra, covering many important real-world applications, including graph theory, circuit theory, Markov chains, elementary coding theory, least-squares polynomials and least-squares solutions for inconsistent systems, differential equations, computer graphics and quadratic forms. In addition, many computational techniques in linear algebra are presented, including iterative methods for solving linear systems, LDU Decomposition, the Power Method for finding eigenvalues, QR Decomposition, and Singular Value Decomposition and its usefulness in digital imaging.

This item is Non-Returnable

Details

  • ISBN-13: 9780128229781
  • ISBN-10: 0128229780
  • Publisher: Academic Press
  • Publish Date: June 2022
  • Dimensions: 10.9 x 8.5 x 1.1 inches
  • Shipping Weight: 3.2 pounds
  • Page Count: 544

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