PPT-Introduction To MATLAB Chapter 1
Author : giovanna-bartolotta | Published Date : 2018-11-01
Why Learn To Code Earth Scientists Deal with Large Datasets Processing and Visualization Should be Automated Can make your own tools Research is new so no tools
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Introduction To MATLAB Chapter 1: Transcript
Why Learn To Code Earth Scientists Deal with Large Datasets Processing and Visualization Should be Automated Can make your own tools Research is new so no tools may exist Above gt 1000000 PersistentScatterer InSAR Data Points in SoCal. P. arallel . P. rocessing. G. uy . T. el-. Z. ur. L. ecture 8. The Course Roadmap. Introduction. Message Passing. HTC. HPC. Shared Memory. Condor. Cloud Computing. MPI. OpenMP. T. oday. Today. Next week. Kadin Tseng. Boston University. Scientific Computing and Visualization. It is developed by . The Mathworks, Inc.. . (http://www.mathworks.com) . It is an interactive, integrated, environment . for numerical/symbolic, scientific computations and other apps.. Matlab. I use . Matlab. for:. Data analysis. Data plotting. Image Analysis. Also . S. imulations (solving odes/. pdes. /finite element methods). Minimisations, root finding, curve fitting. Data visualisation. Week 44-45 - . Introduction lectures. - Start lab: Intro to . Simulink. . (About 20 hours of work). . - . Electronic quizzes in . webct. - Choose a standard and en existing model to simulate. Module #7 – Statistics. Topics. Statistics. Histograms & Bar Plots. Scaled Histograms / Probability . Textbook Reading Assignments. 7.1-7.2. Practice Problems. Chapter 7 Problems: . 7.1, 7.2. 1) . Overview. What’s in the toolboxes. Learn basic techniques to use them. Using MATLAB’s built in help and demos. Setup. Log in to your machines. Start MATLAB. Open a web browser and type in:. http://tinyurl.com/uta-tut. Boston University. Scientific Computing and Visualization. It is developed by . The Mathworks, Inc.. . (http://www.mathworks.com) . It is an interactive, integrated, environment . for numerical/symbolic, scientific computations and other apps.. 2. What is MATLAB?. MATLAB, which stands for “MATrix LABoratory” is a high-performance language for technical computing. . It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation.. Topics. Plot Options (subplots, overlays, legends, . datapoints. ). Polar . Plots. 3D . Plots (plot3, mesh). Textbook Reading Assignments. 5.1-5.9. Practice Problems. Chapter 5 Problems: . 5.49. 1) Plot Options. CIS 2033 Section 003. Djordje Gligorijevic, Temple University, . Fall 2015. About MATLAB. MATLAB (. MAT. rix. . LAB. oratory. ) is a high level language made for:. Numerical Computation (Technical computing). CS 534 . Fall . 201. 5. What you'll be learning today. MATLAB b. asics (debugging, IDE. ). Operators. Matrix indexing. Image I/O. Image display, plotting. A lot of demos. .... Who am I. Jia-Shen Boon. Thank you to . Aapo. . Nnummenmaa. !. Background. Overview. What is MATLAB?. MATLAB=(. MATrix. . LABoratory. ). Mathematical scripting language.. Scientific computation tool.. Scientific visualization tool.. computation . tools. .. Others include. Maple. Mathematica. MathCad. MATLAB Excels at. Numerical calculations. Especially involving matrices. Graphics. MATLAB stands for . Mat. rix . Lab. oratory. Why MATLAB. Research Analytics. Research Analytics. Formerly the Stat/Math Center. A group within the Research Technology (RT) division of University Information Technology Services (UITS). S. upport, consultation, and administration .
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