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Numerical Methods in Engineering: Theory and Process Applications

Autor Amiya K. Jana
en Limba Engleză Paperback – 30 oct 2023
"Numerical methods are a cornerstone of most engineering and science programmes. However, their applications vary greatly for different streams. This book focuses on process applications that are relevant specifically to chemical engineers, or to allied streams like biochemical, mechanical, cryogenic, and energy engineering. Each chapter starts with the formulation and graphical representation of the numerical method. This is followed by the sequential steps and algorithms required to create computer-assisted solutions and simulations. Algorithms, chosen, apply to real-world examples or case studies so as to show how exactly they are used. Finally, the strengths and weaknesses of the numerical method under discussion are explained, thus helping the reader choose the best method for a specific problem at hand. The text incorporates extensive mathematical problems, illustrative examples, industrially relevant case studies, etc., so that readers gain insights into the ground realities"--
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Specificații

ISBN-13: 9781009211802
ISBN-10: 1009211803
Pagini: 600
Dimensiuni: 186 x 242 x 35 mm
Greutate: 1.09 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom

Cuprins

Preface; Acknowledgements; Part I. Introduction to Numerical Simulation: Chapter 1. Introduction to Numerical Method and Process Simulation 3; Part II. Systems of Algebraic Equations; Chapter 2. Linear Algebraic Equation 27; Chapter 3. Non-linear Algebraic Equation; Part III. Systems of Differential Equations: Chapter 4. Ordinary Differential Equation: Initial Value Problem (ODE-IVP); Chapter 5. Ordinary Differential Equation: Boundary Value Problem (ODE-BVP); Chapter 6. Partial Differential Equation; Part IV. Function Approximations: Chapter 7. Method of Least-Squares; Chapter 8. Polynomial Interpolation; Chapter 9. Numerical Integration.

Descriere

This textbook strikes a balance between theory and practice to introduce engineering students to numerical methods and their process applications.