{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## algorithm" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def mult(chain):\n", " n = len(chain)\n", " \n", " # single matrix chain has zero cost\n", " aux = {(i, i): (0,) + chain[i] for i in range(n)}\n", "\n", " # i: length of subchain\n", " for i in range(1, n):\n", " # j: starting index of subchain\n", " for j in range(0, n - i):\n", " best = float('inf')\n", "\n", " # k: splitting point of subchain\n", " for k in range(j, j + i):\n", " # multiply subchains at splitting point\n", " lcost, lname, lrow, lcol = aux[j, k]\n", " rcost, rname, rrow, rcol = aux[k + 1, j + i]\n", " cost = lcost + rcost + lrow * lcol * rcol\n", " var = '(%s%s)' % (lname, rname)\n", "\n", " # pick the best one\n", " if cost < best:\n", " best = cost\n", " aux[j, j + i] = cost, var, lrow, rcol\n", "\n", " return dict(zip(['cost', 'order', 'rows', 'cols'], aux[0, n - 1]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## run" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "{'cols': 40, 'cost': 18000, 'order': '((AB)C)', 'rows': 10}" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mult([('A', 10, 20), ('B', 20, 30), ('C', 30, 40)])" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "{'cols': 1, 'cost': 110, 'order': '(A(B(C(DE))))', 'rows': 10}" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mult([('A', 10, 5), ('B', 5, 1), ('C', 1, 5), ('D', 5, 10), ('E', 10, 1)])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "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": "3.6.0" } }, "nbformat": 4, "nbformat_minor": 2 }