bstellato

<h1>Privacy Policy</h1>


<p>Effective date: March 11, 2019</p>


<p>MITaly - Italian Association at MIT ("us", "we", or "our") operates the http://mitaly.mit.edu website (the "Service").</p>

<p>This page informs you of our policies regarding the collection, use, and disclosure of personal data when you use our Service and the choices you have associated with that data. Our Privacy Policy  for MITaly - Italian Association at MIT is created with the help of the <a href="https://www.freeprivacypolicy.com/">Free Privacy Policy website</a>.</p>

bstellato

\begin{figure}
\begin{tikzpicture}
	\begin{axis}
		[
		axis x line=bottom,
		axis y line=left,
		enlarge y limits=0.1,  % Enlarge limits by 10%
		% ymode=log,          % If you want to be logarithmic
		width=\textwidth,
		height=0.33\textheight,

bstellato

using ProgressMeter
using Distributed
addprocs(2)

@everywhere using LinearAlgebra
@everywhere function myfunc(theta)
	for i in 1:100000
		dot(theta, theta)
        end
	return Dict(["A" => norm(theta, 2), "B" => norm(theta, 1)])

bstellato

\usepackage{booktabs}
\usepackage{csvsimple}
...
...

\begin{table}
  \centering
  \caption{Example table.}
  \label{tab:tablelabel}
  \begin{tabular}{ll}

bstellato

# Construct random matrix P with specified condition number
#
#  Bierlaire, M., Toint, P., and Tuyttens, D. (1991). 
#  On iterative algorithms for linear ls problems with bound constraints. 
#  Linear Algebra and Its Applications, 143, 111–143.
#

cond_P = 10**2     # Condition number
log_cond_P = np.log(cond_P)
exp_vec = np.arange(-log_cond_P/4., log_cond_P * (n + 1)/(4 * (n - 1)), log_cond_P/(2.*(n-1)))