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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...

The third edition of this successful text describes and evaluates a range of widely used numerical methods, with an emphasis on problem solving. Every method is discussed thoroughly and illustrated with problems involving both hand computation and programming. MATLAB(R) M-files accompany each method and are available on the book's web page. Code is made simple and easy to understand by avoiding complex book-keeping schemes, while maintaining the essential features of the method. The third edition features a new chapter on Euler's method, a number of new and improved examples and exercises,...

Provide your mechanical engineering students with a solid understanding of statics without the overload of extraneous detail in Andrew Pytel and Jaan Kiusalaas' ENGINEERING MECHANICS: STATICS, 4E. The authors use their extensive teaching experience and first-hand knowledge to deliver a presentation that's ideally suited to the learning skills of today's students. The authors clearly introduce critical concepts using learning features that connect real problems and examples with the fundamentals of engineering mechanics. Students learn how to analyze problems successfully before substituting...