Description: Numerical Methods in Physics with Python by Alex Gezerlis Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this book covers linear algebra, differential equations, root-finding, interpolation, and integration. Fully implementing many numerical methods in Python and with 140 new problems, it is an ideal standalone textbook on computational physics. Publisher Description Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject. Author Biography Alex Gezerlis is Professor of Physics at the University of Guelph. Before moving to Canada, he worked in Germany, the United States, and Greece. He has received several research awards, grants, and allocations on supercomputing facilities. He has taught undergraduate and graduate courses on computational methods, as well as courses on quantum field theory, subatomic physics, and science communication. Details ISBN 1009303856 ISBN-13 9781009303859 Title Numerical Methods in Physics with Python Author Alex Gezerlis Format Hardcover Year 2023 Pages 700 Edition 2nd Publisher Cambridge University Press GE_Item_ID:142882818; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 159.69 USD
Location: Fairfield, Ohio
End Time: 2024-11-27T07:14:27.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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ISBN-13: 9781009303859
Type: NA
Publication Name: NA
Edition: 2
Book Title: Numerical Methods in Physics with Python
Number of Pages: 700 Pages
Language: English
Publisher: Cambridge University Press
Item Height: 1.7 in
Topic: Physics / Mathematical & Computational
Publication Year: 2023
Illustrator: Yes
Genre: Science
Item Length: 10.3 in
Author: Alex Gezerlis
Item Width: 7.2 in
Format: Hardcover