Review scriptum corresponding to the first two lectures.
Parameters of a uniform distribution.
Chebyshev inequality.
Verify the calculated variances for the given estimators $T_i$.
Definiton of uncorrelated variables.
Variance of the sum of uncorrlelated variables.
Properties of the variance.
Downloaded material for adaptive and predictive control.
Downloaded textbook.
Dissertation on the LSR underwater robot.
Ignore swap files.
Look at the exercises.
Matrix formulation for the loss function used in least squares
estimation.
Matrix inversion lemma with proof.
Seems like a good alternative to the clumsy MatrixSymbol class.
(Taken from http://zulko.wordpress.com/2012/04/15/symbolic-matrix-differentiation-with-sympy/)
Decided to better stay with the built-in matrix symbol.
Work on the 1st task.