Homework

Matrix multiplication.ipynb

@@ -0,0 +1,127 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def nm(big,small):\n",
+    "    len_row= big.shape[0]-small.shape[0]+1\n",
+    "    len_col= big.shape[1]-small.shape[1]+1\n",
+    "    new = np.zeros((len_row,len_col))\n",
+    "    \n",
+    "    \n",
+    "    count_col = 0\n",
+    "    count_row = 0\n",
+    "\n",
+    "    mu= np.zeros((small.shape))\n",
+    "    \n",
+    "    for count_col in range(len_col):\n",
+    "        for count_row in range(len_row):\n",
+    "            for ix in range(small.shape[0]):\n",
+    "                for jx in range(small.shape[1]):\n",
+    "                    mu[ix][jx]=small[ix][jx]*big[count_row+ix][count_col+jx]\n",
+    "            yeah = mu.sum()\n",
+    "            new[count_row][count_col]=yeah\n",
+    "            yeah = 0\n",
+    "            mu[:]=0\n",
+    "            \n",
+    "    return new\n",
+    "            \n",
+    "            \n",
+    "            "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3, 3)\n",
+      "(2, 2)\n",
+      "[[19. 32.]\n",
+      " [34. 34.]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "big = np.array([(5,3,7),(2,4,7),(9,6,4)])\n",
+    "print (big.shape)\n",
+    "small = np.array([(1,2),(2,1)])\n",
+    "print (small.shape)\n",
+    "ans = nm(big,small)\n",
+    "print (ans)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "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": "3.5.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}