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Applied Numerical Methods with MATLAB for Engineers and Scientists

Applied Numerical Methods with MATLAB for Engineers and Scientists

Applied Numerical Methods with MATLAB for Engineers and Scientists
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Applied Numerical Methods with MATLAB for Engineers and Scientists Hardback - 2017

by Chapra, Steven C

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McGraw Hill, 2/6/2017 12:00:01 AM. hardcover. Very Good. 1.2205 in x 9.4488 in x 7.5197 in.
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Details

  • Title Applied Numerical Methods with MATLAB for Engineers and Scientists
  • Author Chapra, Steven C
  • Binding Hardback
  • Edition [ Edition: fourt
  • Condition Used - Very good
  • Pages 720
  • Volumes 1
  • Language ENG
  • Publisher McGraw Hill
  • Publication date 2/6/2017 12:00:01 AM
  • Illustrated Yes
  • Bookseller's Inventory # mon0000138144
  • ISBN 9780073397962 / 0073397962
  • Weight 2.8 lbs (1.27 kg)
  • Dimensions 9.4 x 7.5 x 1.3 in (23.88 x 19.05 x 3.30 cm)
  • Size 1.2205 in x 9.4488 in x 7.5197 i
  • Category Technology & Industrial Arts
  • Library of Congress subjects Engineering mathematics, Numerical analysis - Data processing
  • Library of Congress Catalogue Number 2016038044
  • Dewey Decimal Code 518
  • Quantity available 1

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Reader reviews for Applied Numerical Methods with MATLAB for Engineers and Scientists

From the publisher

Applied Numerical Methods with MATLAB is written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, sufficient theory is provided so that students come away with insight into the techniques and their shortcomings.

McGraw-Hill's Connect, is also available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a "multi-step solution" which helps move the students' learning along if they experience difficulty.

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