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Numerical Methods in Engineering with Python 3 by [Kiusalaas, Jaan]
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Numerical Methods in Engineering with Python 3 3rd Edition, Kindle Edition

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Product description


'… a practical introduction, pushing the theory as far in the background as possible.' The European Mathematical Society (

'This book is nicely focused on the most frequently encountered types of numerical problems that scientists and engineers usually face and the most common and robust algorithms for solving them. The text is just the right size for a semester-long course for upper-division undergraduates or first-year graduate students … this is a well-written text that is logically organized, attractively presented, and supported with challenging problems.' Anthony J. Duben, Computing Reviews

Book Description

Provides an introduction to numerical methods for students in engineering courses. This book covers the solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems and optimisation. The algorithms are implemented in Python 3, a high-level programming language that rivals MATLAB® in readability and ease of use.

Product details

  • Format: Kindle Edition
  • File Size: 10715 KB
  • Print Length: 432 pages
  • Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
  • Publisher: Cambridge University Press; 3 edition (31 Jan. 2013)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B00ADP76WC
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #557,720 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most helpful customer reviews on 4.5 out of 5 stars 7 reviews
4.0 out of 5 starsGood addition for your machine learning bookshelf
14 May 2016 - Published on
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Loonatic Fringe
5.0 out of 5 starsGreat book
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J. Leeman
4.0 out of 5 starsGood Introduction
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Chris S. Bullock
5.0 out of 5 starsA very good book
15 October 2012 - Published on
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Stuart Leviton
5.0 out of 5 starsThis book did the job
17 April 2013 - Published on
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