116 lines
2.3 KiB
Plaintext
116 lines
2.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[ 5, 6, 10, 12],\n",
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" [ 7, 8, 14, 16],\n",
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" [15, 18, 20, 24],\n",
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" [21, 24, 28, 32]])"
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]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from scipy import linalg\r\n",
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"import numpy as np\r\n",
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"a = np.array([[1, 2], [3, 4]])\r\n",
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"b = np.array([[5, 6], [7, 8]])\r\n",
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"linalg.kron(a, b)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[ 5, 12],\n",
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" [ 7, 16],\n",
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" [15, 24],\n",
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" [21, 32]])"
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]
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},
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"linalg.khatri_rao(a, b)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[ 8. , -6. , -4. , 3. ],\n",
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" [-7. , 5. , 3.5 , -2.5 ],\n",
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" [-6. , 4.5 , 2. , -1.5 ],\n",
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" [ 5.25, -3.75, -1.75, 1.25]])"
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]
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},
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"execution_count": 19,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"linalg.inv(linalg.kron(a, b))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[ 8. , -6. , -4. , 3. ],\n",
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" [-7. , 5. , 3.5 , -2.5 ],\n",
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" [-6. , 4.5 , 2. , -1.5 ],\n",
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" [ 5.25, -3.75, -1.75, 1.25]])"
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]
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},
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"execution_count": 20,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"linalg.kron(linalg.inv(a), linalg.inv(b))"
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]
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}
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],
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"metadata": {
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"interpreter": {
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"hash": "50666865514ce8fadc5b7568d4a3d74bf2a0096f71e6d07e06e277213ef05d37"
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},
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"kernelspec": {
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"display_name": "Python 3.7.9 64-bit ('env_ISYE8803': venv)",
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"name": "python3"
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},
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"language_info": {
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"name": "python",
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"version": ""
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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} |