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Numerical Methods in Engineering with Python 3
Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.
Mechanics of Materials
Almost every new concept introduced in this text is followed by sample and homework problems based on the principle introduced in that section.
Numerical Methods in Engineering with Python
This text is for engineering students and a reference for practising engineers, especially those who wish to explore Python. This new edition features 18 additional exercises and the addition of rational function interpolation. Brent's method of root finding was replaced by Ridder's method, and the Fletcher-Reeves method of optimization was dropped in favor of the downhill simplex method. Each numerical method is explained in detail, and its shortcomings are pointed out. The examples that follow individual topics fall into two categories: hand computations that illustrate the inner workings of the method and small programs that show how the computer code is utilized in solving a problem. This second edition also includes more robust computer code with each method, which is available on the book website. This code is made simple and easy to understand by avoiding complex bookkeeping schemes, while maintaining the essential features of the method.
Numerical Methods in Engineering with MATLAB®
Numerical Methods in Engineering with MATLAB®, a student text, and a reference for practicing engineers.
Numerical Methods in Engineering with MATLAB®
This textbook is for engineering students and practising engineers who wish to explore the power and efficiency of MATLAB.
Engineering Mechanics: Dynamics
Readers gain a solid understanding of Newtonian dynamics and its application to real-world problems with Pytel/Kiusalaas' ENGINEERING MECHANICS: DYNAMICS, 4E. This edition clearly introduces critical concepts using learning features that connect real problems and examples with the fundamentals of engineering mechanics. Readers learn how to effectively analyze problems before substituting numbers into formulas. This skill prepares readers to encounter real life problems that do not always fit into standard formulas. The book begins with the analysis of particle dynamics, before considering the motion of rigid-bodies. The book discusses in detail the three fundamental methods of problem solution: force-mass-acceleration, work-energy, and impulse-momentum, including the use of numerical methods. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Numerical Methods in Engineering with Python
Numerical Methods in Engineering with Python, a student text, and a reference for practicing engineers.
Engineering Mechanics
The two volumes of Engineering Mechanics aim to provide students with a full grasp of the role and scope of mechanics. They include articles and detailed sample problems of use to both students and instructors.
Numerical Methods in Engineering with Python 3
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® 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.
S.Chand's Engineering Mechanics
For B.E., B.Tech. And Engineering students of All Indian Technical Universities
