Practical MATLAB: with modeling, simulation and processing projects
Material type: TextPublication details: Apress New York 2021Description: xviii, 297 pISBN:- 9781484267462
- 510.285536 TUR
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Book | Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 510.285536 TUR (Browse shelf(Opens below)) | 1 | Checked out | 04/09/2025 | 003724 |
Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: IT & Decisions Sciences Close shelf browser (Hides shelf browser)
384.38 EVE The YouTube formula: how anyone can unlock the algorithm to drive views, build an audience, and grow revenue | 401.410285555 BEC Textual data science with R | 510 SEN Machine learning in the analysis and forecasting of financial time series | 510.285536 TUR Practical MATLAB: | 511.8 NIE Quantum computation and quantum information | 518.1 JAT Constitution of algorithms: | 519.2 ROS Introduction to probability models |
About this book
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
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