Practical MATLAB

Apply MATLAB programming to the mathematical modeling of real-life problems from a wide range of topics. This pragmatic book shows you how to solve your programming problems, starting with a brief primer on MATLAB and the fundamentals of the MATLAB programming language. Then, you'll build fully working examples and computational models found in the financial, engineering, and scientific sectors. As part of this section, you'll cover signal and image processing, as well as GUIs.
After reading and using Practical MATLAB and its accompanying source code, you'll have the practical know-how and code to apply to your own MATLAB programming projects.

What You Will Learn

• Discover the fundamentals of MATLAB and how to get started with it for problem solving
• Apply MATLAB to a variety of problems and case studies
• Carry out economic and financial modeling with MATLAB, including option pricing and compound interest
• Use MATLAB for simulation problems such as coin flips, dice rolling, random walks, and traffic flows
• Solve computational biology problems with MATLAB
• Implement signal processing with MATLAB, including currents, Fast Fourier Transforms (FFTs), and harmonic analysis
• Process images with filters and edge detection

• Build applications with GUIs Who This Book Is For
  People with some prior experience with programming and MATLAB.

  A contemporary and practical book on MATLAB Applies MATLAB to popular real-life problems Covers a wide range of areas, including engineering and biology

  Autorentext

  Irfan Turk, PhD. is a math and computer programming instructor and has been working in universities, high schools and educational institutions for around 15 years. Currently, Irfan is teaching mathematics, including calculus courses that use MATLAB. He finished the computer science track requirements of his masters degree when he was a student at the University of Texas at Arlington.

  Inhalt
  1: Introduction to MATLAB.- 2: Fundamentals of MATLAB Language.- 3: Economic Modeling.- 4: Numerical Methods.- 5: Applications in Simulation.- 6: Basic Statistics and Data Analysis.- 7: Data Visualization and Animation.- 8: Computational Biology.- 9: Signal Processing.- 10: Image Processing.- 11: Introduction to Sound Processing.- 12: Applications with Graphical User Interfaces.- Appendix A: References.