aotimme

x <- c(0.27, 0.58, 1.02, 2.02, 3.62, 5.08, 7.07, 9.00, 12.15, 24.17)
y <- c(4.40, 6.90, 8.20, 7.80, 7.50, 6.20, 5.30, 4.90, 3.70, 1.05)

# function
f <- function(beta, x) {
  D <- 4.53
  V <- beta[1]
  k.a <- beta[2]
  k.e <- beta[3]
  D * k.a / (V * (k.a - k.e)) * (exp(-k.e * x) - exp(-k.a * x))

aotimme

import numpy as np

l2 = lambda x: np.sqrt(np.sum(np.square(x)))


def lasso_admm(X, y, lambduh, rho=1.0, tol=1e-10, maxiter=1000):
    i = 0
    n, p = X.shape
    inv = np.linalg.inv(X.T.dot(X) + rho * np.eye(p))
    xy = X.T.dot(y)

aotimme

package rbm

import (
  "fmt"
  "math"
  "math/rand"
)

func uniform(r *rand.Rand) float64 {
  if r == nil {

aotimme

import os

import numpy as np


def generate_data(n, p, seed):
    np.random.seed(seed)
    beta = np.random.normal(size=p, scale=2.0)
    X = np.random.normal(size=(n,p))
    y = np.dot(X, beta)

aotimme

# pushState friendly!
# The setup:
#   * website name is `site.com`
#   * the API for your running on localhost:3000
#   * the root for API calls is at `/api`, and you have authentication routes with root `/auth` (both go to localhost:3000)
#   * javascript app is located at `/path/to/javascript/app`

# Assuming you have your server for API calls at localhost port 3000
upstream api_sitecom {
  server localhost:3000;

aotimme

var i;
var MAX = 100000;
/* === Versions ===
 * NODE:   v0.6.12
 * CHROME: 23.0.1271.64
 */

/* === Hash ===
 * NODE:   12ms
 * CHROME: 187.885ms