Gabriel Joel Mitchell gajomi

## csstademo.m
%Download and uncompress:
%http://users.ece.gatech.edu/~justin/l1magic/downloads/l1magic-1.11.zip

addpath l1magic/

%W with smooth connected points
L = 32;
z = linspace(-.25,1.25,L);
[Z1,Z2] = meshgrid(z,z);
rho = .015;

## cssta_lowmem.m
%Download and uncompress:
%http://users.ece.gatech.edu/~justin/l1magic/downloads/l1magic-1.11.zip

addpath l1magic/

%W with smooth connected points
L = 32;
z = linspace(-.25,1.25,L);
[Z1,Z2] = meshgrid(z,z);
rho = .015;

## eigclusters
%params
N = 512;
k = 128;
p = .5;
%form block clustered matrix
A = rand(N,N)>p;%or randn(N,N) also
B = diag([50*ones(1,k)  1*ones(1,N-k)]);
C = A+B;

%compute spectrum

## demo.ipynb

      
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                gajomi
                / demo.ipynb
            
            
              Created
              September 21, 2014 18:07
            
              
                Spiek response demo
              
          
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## gist:d4c2b26fc14f4671d6be
{
 "metadata": {
  "language": "Julia",
  "name": "",
  "signature": "sha256:8d7e42b7a30a22ad0c12a19f77345d3e7789701850f74dbce0e3573ca1a227e4"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {

## fmincon_example
clear g

T = 10;
m_exact = 1;
b_exact = 2;
x_exact = [m_exact; b_exact]

t = [0:T-1]/(T-1);

A = [t' ones(size(t'))];

## gist:2216541
from scipy.integrate import odeint
import numpy as np
import pylab as pylab


def mm_rate(z,k):
    "The Michealis-Menten reaction rate a concentration z and rate parameter k"
    s,e,c,j = z
    k_bind,k_unbind,k_cat = k
    return np.array([-k_bind*s*e+k_unbind*c,

## gist:2637517
N = 5;
C = triu(ones(N,N));
A = C(1:N,N:-1:1);
A(N,N) = 1;
D = A*ones(N,N)*A - A^3;
H = (A==0).*D/2;
U = sum(H(:))

## nodf_script
M = 3; N = 4;
p = .2;

B = double(rand(M,N)>p);

C1 = B*B';
D1 = repmat(diag(C1),1,M);
eta1 = C1.*(D1~=D1')./(min(D1,D1'));

C2 = B'*B;

## gist:8498230
import io
from IPython.nbformat import current

#function for loading external nb
def execute_notebook(nbfile):

    with io.open(nbfile) as f:
        nb = current.read(f, 'json')

    ip = get_ipython()
	%Download and uncompress:
	%http://users.ece.gatech.edu/~justin/l1magic/downloads/l1magic-1.11.zip

	addpath l1magic/

	%W with smooth connected points
	L = 32;
	z = linspace(-.25,1.25,L);
	[Z1,Z2] = meshgrid(z,z);
	rho = .015;
	%params
	N = 512;
	k = 128;
	p = .5;
	%form block clustered matrix
	A = rand(N,N)>p;%or randn(N,N) also
	B = diag([50ones(1,k) 1ones(1,N-k)]);
	C = A+B;

	%compute spectrum
	{
	"metadata": {
	"language": "Julia",
	"name": "",
	"signature": "sha256:8d7e42b7a30a22ad0c12a19f77345d3e7789701850f74dbce0e3573ca1a227e4"
	},
	"nbformat": 3,
	"nbformat_minor": 0,
	"worksheets": [
	{
	clear g

	T = 10;
	m_exact = 1;
	b_exact = 2;
	x_exact = [m_exact; b_exact]

	t = [0:T-1]/(T-1);

	A = [t' ones(size(t'))];
	from scipy.integrate import odeint
	import numpy as np
	import pylab as pylab


	def mm_rate(z,k):
	"The Michealis-Menten reaction rate a concentration z and rate parameter k"
	s,e,c,j = z
	k_bind,k_unbind,k_cat = k
	return np.array([-k_bindse+k_unbind*c,
	N = 5;
	C = triu(ones(N,N));
	A = C(1:N,N:-1:1);
	A(N,N) = 1;
	D = Aones(N,N)A - A^3;
	H = (A==0).*D/2;
	U = sum(H(:))
	M = 3; N = 4;
	p = .2;

	B = double(rand(M,N)>p);

	C1 = B*B';
	D1 = repmat(diag(C1),1,M);
	eta1 = C1.*(D1~=D1')./(min(D1,D1'));

	C2 = B'*B;
	import io
	from IPython.nbformat import current

	#function for loading external nb
	def execute_notebook(nbfile):

	with io.open(nbfile) as f:
	nb = current.read(f, 'json')

	ip = get_ipython()