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      Scientific Computing: For Scientists and Engineers

      2 in stock

      Firm sale: non returnable item
      SKU 9783110999617 Categories ,
      Select Guide Rating
      Nowadays most mathematics done in practice is done on a computer, where millions of equations can be processed in seconds. This book explains how to approximate these mathematical processes and how accurate and efficient our approximations are. This
      Scientific Computing for...

      £20.00

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      Description

      Product ID:9783110999617
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Series:De Gruyter Textbook
      Title:Scientific Computing
      Subtitle:For Scientists and Engineers
      Authors:Author: Leo G. Rebholz, Timo Heister
      Page Count:184
      Subjects:Maths for scientists, Maths for scientists, Maths for engineers, Maths for computer scientists, Maths for engineers, Maths for computer scientists
      Description:Select Guide Rating
      Nowadays most mathematics done in practice is done on a computer, where millions of equations can be processed in seconds. This book explains how to approximate these mathematical processes and how accurate and efficient our approximations are. This
      Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing. Most problems in science and engineering require the solution of mathematical problems, most of which can only be done on a computer. Accurately approximating those problems requires solving differential equations and linear systems with millions of unknowns, and smart algorithms can be used on computers to reduce calculation times from years to minutes or even seconds. This book explains: How can we approximate these important mathematical processes? How accurate are our approximations? How efficient are our approximations? Scientific Computing for Scientists and Engineers covers: An introduction to a wide range of numerical methods for linear systems, eigenvalue problems, differential equations, numerical integration, and nonlinear problems; Scientific computing fundamentals like floating point representation of numbers and convergence; Analysis of accuracy and efficiency; Simple programming examples in MATLAB to illustrate the algorithms and to solve real life problems; Exercises to reinforce all topics.
      Imprint Name:De Gruyter
      Publisher Name:De Gruyter
      Country of Publication:GB
      Publishing Date:2023-04-03

      Additional information

      Weight334 g
      Dimensions170 × 240 × 19 mm