About this product

Product Identifiers

PublisherCambridge University Press

ISBN-101107033853

ISBN-139781107033856

eBay Product ID (ePID)143607365

Product Key Features

Number of Pages432 Pages

LanguageEnglish

Publication NameNumerical Methods in Engineering with Python 3

Publication Year2013

SubjectEngineering (General), Numerical Analysis

FeaturesRevised

TypeTextbook

AuthorJaan Kiusalaas

Subject AreaMathematics, Technology & Engineering

FormatHardcover

Dimensions

Item Height1 in

Item Weight32.8 Oz

Item Length10.1 in

Item Width7.2 in

Additional Product Features

Edition Number3

Intended AudienceCollege Audience

LCCN2012-036775

Dewey Edition23

Reviews"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, "... a practical introduction, pushing the theory as far in the background as possible." The European Mathematical Society (euro-math-soc.eu)

IllustratedYes

Dewey Decimal620.00285/5133

Edition DescriptionRevised edition

Table Of Content1. Introduction to Python; 2. Systems of linear algebraic equations; 3. Interpolation and curve fitting; 4. Roots of equations; 5. Numerical differentiation; 6. Numerical integration; 7. Initial value problems; 8. Two-point boundary value problems; 9. Symmetric matrix eigenvalue problems; 10. Introduction to optimization.

SynopsisThis 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® 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., This book is an introduction to numerical methods for students in engineering. It covers the usual topics found in an engineering course: solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems, and optimization. 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 utilized in the solution of problems. The book is based on Numerical Methods in Engineering with Python, which used Python 2. This new text 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® in readability and ease of use.

LC Classification NumberTA345 .K58 2013