Join Patrick Royal for an in-depth discussion in this video Performance considerations, part of Learning MATLAB.
Computers today are extremely fast and they will undoubtedly get exponentially …faster in the future. Despite this, computing time is still a …finite resource. And it saves time and money to design …programs that run as quickly and efficiently as possible. …In general, computing time is displayed in big O notation, which is a quick and …dirty representation of the rate at which the number of calculations scales with …the data set size. For instance a program with o of n run …time would take twice as long to process a data set with twice as many values.…
While a program with O of n squared, would take two squared, or four times as …long, to process the same double data set. …The steepest scaling, is exponential, such as, O of two to the n. …This means that calculations would take twice as long for a data set with just …one more value, making the program only feasible to run for extremely small …amounts of data. The time of function in MATLAB use the …Tic and Toc functions. The Tic function starts a built-in stop …
- Installing MATLAB
- Working with MATLAB variables
- Working with matrix and scalar operations
- Creating functions
- Understanding performance considerations
- Building basic plots
- Creating responsive programs
- Editing variables manually
- Working with the Statistics Toolbox
Skill Level Intermediate
1. General Concepts
2. Core MATLAB Syntax
3. Programming in MATLAB
4. Data Representations
5. External Toolboxes
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.