From ef2090940dda7ab7f8e01ef7d24ccd7d14c73c72 Mon Sep 17 00:00:00 2001
From: fweidli <f.weidling@math.uni-goettingen.de>
Date: Fri, 23 Dec 2016 09:00:25 +0100
Subject: [PATCH] Delete 10_Poisson1d_function.ipynb
---
10_Poisson1d_function.ipynb | 168 ------------------------------------
1 file changed, 168 deletions(-)
delete mode 100644 10_Poisson1d_function.ipynb
diff --git a/10_Poisson1d_function.ipynb b/10_Poisson1d_function.ipynb
deleted file mode 100644
index 40593fa..0000000
--- a/10_Poisson1d_function.ipynb
+++ /dev/null
@@ -1,168 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Wirkung der 1d-Poissongleichung auf einen Vektor\n",
- "Es soll eine Funktion erstellt werden, die die Wirkung der 1d-Poissongleichung auf einen Vektor x simuliert. Die Idee dafür ist es am Anfang und Ende von x eine zusätzliche 0 einzufügen (sogenanntes zero padding) und dann entsprechende Ausschnitte auf x zu addieren."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "[0 1 2 3 0]\n"
- ]
- }
- ],
- "source": [
- "from numpy import pad, array\n",
- "\n",
- "a=array([1,2,3])\n",
- "print(pad(a,1,mode='constant'))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Nun die Funktion, die die Wirkung der 1d-Poissonmatrix auf einen Vektor berechnet:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "def poisson1d(x):\n",
- " h=pad(x,1,mode='constant')\n",
- " y=2*x-h[:-2]-h[2:]\n",
- " n=max(x.shape)+1\n",
- " return y*n"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Wir testen an zwei einfachen Beispielen, um uns von der Richtigkeit zu überzeugen:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "collapsed": false,
- "scrolled": true
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "[ 0 0 16]\n",
- "[ 10. 0. 0. 0. 0. 0. 0. 0. 10.]\n"
- ]
- }
- ],
- "source": [
- "from numpy import ones\n",
- "\n",
- "print(poisson1d(a))\n",
- "\n",
- "b=ones(9)\n",
- "print(poisson1d(b))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Als Hinweise für den 2d-Fall: "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "array([[0, 0, 0, 0],\n",
- " [0, 1, 2, 0],\n",
- " [0, 3, 4, 0],\n",
- " [0, 0, 0, 0]])"
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "c=array([[1,2],[3,4]])\n",
- "pad(c,1, mode='constant')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "[[1 2]\n",
- " [3 4]]\n",
- "[1 2 3 4]\n"
- ]
- }
- ],
- "source": [
- "d=array([1,2,3,4])\n",
- "n=max(d.shape)\n",
- "e=d.reshape((int(n**(1/2)),int(n**(1/2))))\n",
- "print(e)\n",
- "print(e.ravel())"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.5.2"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
--
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