Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.
"synopsis" may belong to another edition of this title.
Jaan Kiusalaas is a Professor Emeritus in the Department of Engineering Science and Mechanics at Pennsylvania State University. He has taught computer methods, including finite element and boundary element methods, for more than thirty years. He is also the co-author or author of four books – Engineering Mechanics: Statics, Engineering Mechanics: Dynamics, Mechanics of Materials, Numerical Methods in Engineering with MATLAB, 2nd edition, and two previous editions of Numerical Methods in Engineering with Python.
"About this title" may belong to another edition of this title.
£ 4.46 shipping from U.S.A. to United Kingdom
Destination, rates & speedsSeller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Good. 3rd. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Seller Inventory # 1107033853-11-1
Quantity: 1 available
Seller: Prior Books Ltd, Cheltenham, United Kingdom
Hardcover. Condition: Like New. First Edition. A firm, square and tight hardback with strong joints, just showing a few very minor hardly noticeable bumps and some mild cosmetic wear. Hence a non-text page is stamped 'damaged'. Despite such this book is actually in nearly new condition. Thus the contents are crisp, fresh and clean with no pen-marks. Now offered for sale at a very reasonable price. Seller Inventory # 208664
Quantity: 1 available
Seller: BookHolders, Towson, MD, U.S.A.
Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: third ] Publisher: Cambridge University Press Pub Date: 1/1/2013 Binding: Hardcover Pages: 432 third edition. Seller Inventory # 6938490
Quantity: 1 available
Seller: Hawking Books, Edgewood, TX, U.S.A.
Condition: Good. Good Condition. Has writing/highlighting. Five star seller - Buy with confidence! Seller Inventory # X1107033853X3
Quantity: 1 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 18541030-n
Quantity: Over 20 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9781107033856_new
Quantity: Over 20 available
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. This book is an introduction to numerical methods for students in engineering. It covers 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 (R) in readability and ease of use. All methods include programs showing how the computer code is utilised in the solution of problems. The book is based on Numerical Methods in Engineering with Python, which used Python 2. This new edition demonstrates the use of Python 3 and includes an introduction to the Python plotting package Matplotlib. This comprehensive book is enhanced by the addition of numerous examples and problems throughout. 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 (R) in readability and ease of use. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781107033856
Quantity: 1 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 18541030-n
Quantity: 4 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 18541030
Quantity: 4 available
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 3rd edition. 531 pages. 10.10x1.00x7.00 inches. In Stock. This item is printed on demand. Seller Inventory # __1107033853
Quantity: 1 available