Using Symbolic Computations to Develop Efficient Algorithms and System Models
• Efficiency – algorithms and models expressed analytically are often more efficient than equivalent numeric implementations
• Transparency – because they are in the form of math expressions, analytical solutions offer a clear view into how variables and interactions between variables affect the result, often helping you gain important insights (e.g. conditions that result in discontinuous regions, resonant frequencies, or a critically damped response)
Through product demonstrations we will show how the notebook interface provided in Symbolic Math Toolbox makes it easy to manage and document the steps taken to derive your analytical solutions, including any assumptions made. We will also show how analytical results computed in the notebook can be integrated with MATLAB and Simulink.
Presenter: Dan Doherty
Presenter Bio: Dan Doherty works as a product manager at The MathWorks, focusing on core math and data analysis products including Symbolic Math Toolbox. He has been with The MathWorks for over 6 years, in a variety of roles including product marketing specialist and product manager. Prior to joining The MathWorks, Dan received a B.S.E. and M.S.E. in Mechanical Engineering from the University of New Hampshire, where his research focused on prediction of cutting forces during CNC machining.
Recorded: 2 Mar 2010
Featured Product
Symbolic Math Toolbox
Up Next:
Related Videos:
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asia Pacific
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)