Numerical, Symbolic and Statistical Computing for Chemical Engineers using Matlab ®
PHI Learning (Verlag)
9789387472518 (ISBN)
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Numerical, analytical and statistical computations are routine affairs for chemical engineers. They usually prefer a single software to solve their computational problems, and at present, MATLAB has emerged as a powerful computational language, which is preferably used for this purpose, due to its built-in functions and toolboxes.
Considering the needs and convenience of the students, the author has made an attempt to write this book, which explains the various concepts of MATLAB in a systematic way and makes its readers proficient in using MATLAB for computing. It mainly focuses on the applications of MATLAB, rather than its use in programming basic numerical algorithms.
Commencing with the introduction to MATLAB, the text covers vector and matrix computations, solution of linear and non-linear equations, differentiation and integration, and solution of ordinary and partial differential equations. Next, analytical computations using the Symbolic Math Toolbox and statistical computations using the Statistics and Machine Learning Toolbox are explained. Finally, the book describes various curve fitting techniques using the Curve Fitting Toolbox. Inclusion of all these advanced-level topics in the book stands it out from the rest.
Primarily intended for the undergraduate students of chemical engineering, the book is also of immense use to the postgraduate students, chemical engineers and scientists.
KEY FEATURES:
Numerous worked-out examples to enable the readers understand the steps involved in solving the chemical engineering problems MATLAB codes to explain the computational techniques
Several snapshots to help the readers understand the step-by-step procedures of using the toolboxes
Chapter-end exercises, including short-answer questions and numerical problems
Appendix comprising the definitions of some important and special matrices
Supplemented with Solutions Manual containing complete detailed solutions to the unsolved problems
Accessibility of selected colour figures (including screenshots and results/outputs of the programs) cited in the text at www.phindia.com/Pallab_Ghosh.
Pallab Ghosh, Ph.D., is Professor, Department of Chemical Engineering, Indian Institute of Technology Guwahati. He has 16 years of teaching and research experience in the same institute. Before joining IIT Guwahati as Assistant Professor, he worked as a scientist at Central Salt and Marine Chemicals Research Institute (Bhavnagar, Gujarat). Dr. Ghosh is the author of the textbooks titled Numerical Methods with Computer Programs in C++ and Colloid and Interface Science, both published by PHI Learning. He has guided many B.Tech, M.Tech, and Ph.D. students, and published many research papers in international journals. He has also published a number of monographs, developed several online courses, and completed many research and consultancy projects. His major research interests include applications of colloid and interface science, chemical reaction engineering and computational methods.
Preface
1. MATLAB Basics
2. Vectors and Matrices
3. Vector and Matrix Computations
4. Numerical Solution of Linear and Non-linear Equations
5. Numerical Differentiation and Integration
6. Numerical Solution of Ordinary Differential Equations
7. Numerical Solution of Partial Differential Equations
8. Symbolic Mathematical Computations
9. Statistical Computations
10. Curve Fitting
| Erscheinungsdatum | 26.02.2019 |
|---|---|
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 610 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
| Naturwissenschaften ► Chemie ► Technische Chemie | |
| Technik | |
| ISBN-13 | 9789387472518 / 9789387472518 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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