Matlab 2018-course

Current course-info

• Monday March, 5. at 14-14.30 Heikki available for discussion in cafeteria next to course classroom.
• Interesting free eBook, carefully explained [Mar,2]
• Some additional instructions, see below. [March 2.]
• Return exercises by 15.3. at 12.59.59.
  3 out of 4 required.
• Model solutions and Matlab discussion session will be organized 15.3. at 13-14 in U121b (near our course classroom), in connection with Aalto "Scicomp garage"
• Click here for Instructions, Triton usage, Q&A etc. [upd. 2.3.2018]

    Mon 12.2.2018 at 12:00-15:00
    Thu 15.2.2018 at 12:00-15:00
    Mon 19.2.2018 at 12:00-15:00
    Thu 22.2.2018 at 10:00-13:00

Course material

Session 1

The first lecture is mostly about handling data; here is a collection of data samples that we'll be using.

• electricity.csv
• gasprices.csv
• hurricanes.csv
• formants.csv
• hurricanes2.csv
• hurricanes3.csv
• medals_beijing.csv
• ex_data1.csv
• ex_data2.csv

Session 2

Solutions to exercise 2

• Apollosolution.m
• Apollosys.m
• Apollosolution.html (publish)
• ApollosolutionInteractive.m (For you to play with)
• Apollosolution.mlx ("Live document")
• ApollosolutionLIVE.pdf ("Live document's pdf-export")

SLIDES
Exercises (Some tuning may occur)
First SLIDES for Lecture 3 Contains more detailed instructions for Matlab's ODE-solvers.

m-files related to lecture 2 (and 3):

• meshscript.m | meshscript.html (Published html)
• ODEdirfield.m
• Eulerexample1.m
• Eulerexample2.m
• Eulerloop.m syms, while-loop,
• myEulerTemplate.m
• EulerV.m
• rk4V.m Runge-Kutta 4 (vector)
• Pendulum_and_dirfield.m Explanations, also interactive dirfields.
• runKepler.m 2-body problem, lots of comments
• Kepler.m odefun for runKepler

Session 3

m-files related to lecture 3:

• Kepler.m
• runKepler.m
• stiff.m Stiff equation, performance issues,
• solfun.m
• Apollotemplate.m "To-get-started-file" for problem nr. 2.

m-files related to Juha's part:

Update: As per requests: the development of the function blockAvg has been added.

• blockAvg_bad.m
• blockAvg_better.m
• blockAvg_vectorized.m
• bif1.m
• bif2.m
• juliaDemo.m
• indexing_example_2.m
• rowColComparison.m

Session 4

Solutions to exercise 4

• Globalminsolve1.m
• Globalminsolve2.m
• Globalminsolve1.html
• Globalminsolve2.m
• Globalminsolve2.html Contains parallel (spmd and parfor) runs on Triton.
• minmax2dsolver2.m 2 variable example 1
• minmax2dsolver2.html
• Rosenbrock function, example 2 (m-file)
• Rosenbrock function, example 2 (html)

m-files related to lecture 4:

• spmd_example1_numint.m
• Interactively Run a Loop in Parallel Using parfor
• Globalmin.m
• minmax2d.m

m-files for the GPU part

• basics_gpu.m
• horner.m
• gpu_arrayfun_demo.m
• juliaDemoGpu.m

The demonstrations for the Mandelbrot set will be published after the deadline for the exercises has passed.

References

• help GlobalSearch, help MultiStart, openExample('optim/tutdemo')
• home/heikki/Documents/MATLAB/Examples/globaloptim/opticalInterferenceDemo
• https://en.wikipedia.org/wiki/Test_functions_for_optimization
• Getting Started with Optimization Toolbox - MathWorks
• Interesting free eBook, carefully explained
• Cleve Moler: Numerical Computing with MATLAB
  • Chapter 7
• D.J. Higham- N.J. Higham: Matlab Guide, Siam 2017
  Website of the book - m-files for the book
• https://www.theguardian.com/film/2016/dec/11/black-women-mathematicians-nasa-john-glenn-space-race "Hidden figures, Movie: Three black ladies and John Glenn's space flight" (See. Exercise 2)
• Course page for Fall 2016 Contains some more material and links on parallel computing