Essential MATLAB for Engineers and Scientists
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Essential MATLAB for Engineers and Scientists

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Description

Essential MATLAB for Engineers and Scientists, Sixth Edition, provides a concise, balanced overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications. The essentials of MATLAB are illustrated throughout, featuring complete coverage of the software's windows and menus. Program design and algorithm development are presented clearly and intuitively, along with many examples from a wide range of familiar scientific and engineering areas. This updated edition includes the latest MATLAB versions through 2016a, and is an ideal book for a first course on MATLAB, or for an engineering problem-solving course using MATLAB, as well as a self-learning tutorial for professionals and students expected to learn and apply MATLAB.
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Product details

  • Paperback | 428 pages
  • 191 x 235 x 22.86mm | 860g
  • ELSEVIER SCIENCE & TECHNOLOGY
  • Academic Press Inc.(London) Ltd
  • London, United Kingdom
  • English
  • 6th edition
  • 0081008775
  • 9780081008775
  • 110,602

About Brian D. Hahn

Daniel Valentine is a Professor of Mechanical and Aeronautical Engineering at Clarkson University and Affiliate Director of the Clarkson Space Grant Program which is part of the New York NASA Space Grant Consortium. This program has provided support for undergraduate research appointments, and for graduate students. He is currently investigating the nonlinear dynamics of two-dimensional, Navier-Stokes flows as part of his work on the development of computational methods to solve fluid dynamics problems. He is also working on the flow-structure interaction of long-span bridges, unsteady hydrodynamics and offshore renewable energy. Other activities include investigations to develop a computational method to predict the effect of a marine propulsor on wave resistance of ships, to examine the effect of density stratification on rotating flows, to develop computational tools to predict the time-averaged properties of high-Reynolds number flows among other fluid mechanics problems.
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Table of contents

1. Introduction 2. MATLAB Fundamentals 3. Program Design and Algorithm Development 4. MATLAB Functions and Data Import-Export Utilities 5. Logical Vectors 6. Matrices and Arrays 7. Function M-files 8. Loops 9. MATLAB Graphics 10. Vectors as Arrays and other Data Structures 11. Dynamical Systems 12. Simulation 13. Introduction to Numerical Methods 14. Signal Processing 15. SIMULINK (R) Toolbox 16. Symbolics Toolbox 17. Complex Variables Applications
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Rating details

38 ratings
3.78 out of 5 stars
5 18% (7)
4 53% (20)
3 21% (8)
2 5% (2)
1 3% (1)
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