u = f (t),
t = t(x, y)
t = t(x, y) u = f (t(x, y) u v u0x u0y .
u0x = ft0 t0x ,
u0y = ft0 t0y
z = z(x, y),
x = x(t),
y = y(t)
x = x(t) y = y(t) z = z(x(t), y(t) t zt0 .
zt0 = zx0 x0t +
"# Problem 0\n",
"# You will get 0 for the whole pset unless you finish this problem :)\n",
"* Read [homework rules](rules_hw.pdf) carefully. <font color='red'>If you
Homework info and requirements
Problem sets are distributed in jupyter notebooks. We recommend using Anaconda Python Distribution which
allows easy installation of all packages required for the course.
Problem sets include
Problem 1 (censored data fitting) cens_fit_data.m, 2 points (additional exercise A5.13 to
Boyd and Vandenberghe).
Problem 2 (vehicle speed scheduling) veh_speed_sched_data.m, 3 points (additional
exercise A3.20 to Boyd and Vandenberghe). This is the same
Statistics mini-course HW
due to 20 October, 23:59
Problem 1 Consider two independent observations of a random variable:
x1 = 0.2
x2 = 0.3
Find the most powerful test for which the first kind of error is less than = 0.0314 for two following simple
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Problems for the Midterm test
The midterm test will include both theoretical questions and problems based on the material of the first 9
lectures. Note that during the test you are not allowed to use any source of information, e.g. laptop,