Francesco Pasqualini frhack

01/13/2012. From a lecture by Professor John Ousterhout at Stanford, class CS140

Here's today's thought for the weekend. A little bit of slope makes up for a lot of Y-intercept.

[Laughter]

	#!/bin/bash

	# Brew
	/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"
	# NVM
	curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.35.3/install.sh \| bash

	# oh my ZSH
	sh -c "$(curl -fsSL https://raw.githubusercontent.com/robbyrussell/oh-my-zsh/master/tools/install.sh)"

	/*
	* Implementation of backward-mode automatic differentiation.
	*/

	/**
	* Differentiable variable with value and derivative of differentiation ([grad]) result
	* with respect to this variable.
	*/
	data class D(var x: Double, var d: Double = 0.0) {
	constructor(x: Int): this(x.toDouble())

	public static class LINQPadExtensions
	{
	private static readonly Dictionary<Type, string> TypeAliases = new Dictionary<Type, string> {
	{ typeof(int), "int" },
	{ typeof(short), "short" },
	{ typeof(byte), "byte" },
	{ typeof(byte[]), "byte[]" },
	{ typeof(long), "long" },
	{ typeof(double), "double" },
	{ typeof(decimal), "decimal" },

	# coding: utf-8

	'''The following code reproduces an example of the paper:
	'The Complex-Step Derivative Approximation'
	by Joaquim R. R. A. MARTINS, Peter STURDZA and Juan J. Alonso published in 2003.

	License: MIT
	Author: FJ Navarro Brull
	'''