2.096/6.336/16.910 Introduction to Numerical Simulation
Fall 2013
Instructor: Luca Daniel
TAs: Niloofar Farnoosh, Andras Gyoergy
Lecture: MW1-2.30 (34-101)
Information:
This course is an introduction to computational techniques for the simulation of a large variety of engineering and physical systems. Applications are drawn from aerospace, mechanical, electrical, and chemical engineering, biology, and materials science. Topics include mathematical formulations (techniques for automatic assembly of mathematical problems from physics' principles); sparse, direct and iterative solution techniques for linear systems; Newton methods for nonlinear problems; discretization methods for ordinary, time-periodic and partial differential equations; accelerated methods for integral equations; techniques for automatic generation of compact dynamical system models.
Announcements
Pset results
I just uploaded all results to the Gradebook Module. As always, please let me know if anything seems to be out of order so that I can check it.Bests,
Andras
Announced on 07 December 2013 8:03 p.m. by Andras Gyoergy
PS5 results: as soon as I know them, you know them
Dear All,I know that you all would like to know the results of PS5 so that you can better decide whether or not you should concentrate your efforts on PS6. Since I have been getting e-mails about this, I would like to let you all know: as soon as I have the results, I will upload them to Stellar and send out an announcement. Really, I promise. :)
Cheers,
Andras
Announced on 04 December 2013 12:28 a.m. by Andras Gyoergy
Regarding to late submission
A student came to me today after the class to turn in his late submission homework and I mistakenly told him that we don't grade the late submissions. So I want him to give his homework to one of us on the next week. The rule is for late submissions your final score will be 50% of the original score.Thanks,
Niloofar
Announced on 27 November 2013 4:39 p.m. by Niloofar Farnoosh
MATLAB memory analysis
In case you are stuck with 1.5, you can analyze the required memory the following way. Before running your code, type profile -memory on, then call your function, and finally, type profreport. This will give you the stats of the code, with execution time and memory usage. Note that the execution time is greater than without the whole analysis, so you should measure the time without memory analysis, that is, with tic-toc. Hope this helps.Bests,
Andras
Announced on 27 November 2013 11:23 a.m. by Andras Gyoergy
OH today
Since I am at MIT ER now, I will not be able to make it to today's office hour. I am really sorry about that.Bests,
Andras
Announced on 26 November 2013 10:48 a.m. by Andras Gyoergy