MATLAB with Applications to Engineering, Physics and Finance

David Baez-Lopez

October 28, 2009 by CRC Press
Textbook - 426 Pages - 238 B/W Illustrations
ISBN 9781439806975 - CAT# K10356


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  • Brings together diverse applications of MATLAB in many areas, including industrial, civil, and mechanical engineering; kinematics; dynamics; electricity; modern physics; annuities; and Black–Scholes analysis
  • Provides a gradual introduction to MATLAB functions and programming
  • Covers the graphical user interfaces in MATLAB and Simulink
  • Presents Simulink for scientific and engineering system simulation
  • Contains more than 160 practical worked examples and numerous end-of-chapter exercises
  • Offers downloadable MATLAB examples and programs on the book’s website

Solutions manual available for qualifying instructors


Master the tools of MATLAB through hands-on examples
Shows How to Solve Math Problems Using MATLAB

The mathematical software MATLAB® integrates computation, visualization, and programming to produce a powerful tool for a number of different tasks in mathematics. Focusing on the MATLAB toolboxes especially dedicated to science, finance, and engineering, MATLAB® with Applications to Engineering, Physics and Finance explains how to perform complex mathematical tasks with relatively simple programs. This versatile book is accessible enough for novices and users with only a fundamental knowledge of MATLAB, yet covers many sophisticated concepts to make it helpful for experienced users as well.

The author first introduces the basics of MATLAB, describing simple functions such as differentiation, integration, and plotting. He then addresses advanced topics, including programming, producing executables, publishing results directly from MATLAB programs, and creating graphical user interfaces. The text also presents examples of Simulink® that highlight the advantages of using this software package for system modeling and simulation. The applications-dedicated chapters at the end of the book explore the use of MATLAB in digital signal processing, chemical and food engineering, astronomy, optics, financial derivatives, and much more.


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