{
	"cell_id": 751520650258365731,
	"cells": [
		{
			"cell_id": 18032559207565559019,
			"cell_origin": "client",
			"cell_type": "input",
			"source": "import numpy as np\nimport matplotlib.pyplot as plt"
		},
		{
			"cell_id": 1287114047286213846,
			"cell_origin": "client",
			"cell_type": "input",
			"cells": [
				{
					"cell_id": 2239708533951680159,
					"cell_origin": "server",
					"cell_type": "latex_view",
					"cells": [
						{
							"cell_id": 14323316998355365316,
							"cell_origin": "server",
							"cell_type": "input_form",
							"source": "(x)**( 1/2 ) \\cos(3x)"
						}
					],
					"source": "\\begin{dmath*}{}\\sqrt{x} \\cos\\left(3x\\right)\\end{dmath*}"
				},
				{
					"cell_id": 7917520824322949186,
					"cell_origin": "server",
					"cell_type": "latex_view",
					"cells": [
						{
							"cell_id": 2087294880286699410,
							"cell_origin": "server",
							"cell_type": "input_form",
							"source": "10\\exp(-(x)**2)"
						}
					],
					"source": "\\begin{dmath*}{}10\\exp\\left(-{x}^{2}\\right)\\end{dmath*}"
				}
			],
			"source": "ex := x**(1/2) \\cos(3 x) ;\nex2:= 10\\exp(-x**2);\nxv  = np.linspace(0, np.pi*2, 100)\nexv = np.array( nevaluate(ex,  {$x$: xv} ) )\nexv2= np.array( nevaluate(ex2, {$x$: xv} ))"
		},
		{
			"cell_id": 13031088175072566041,
			"cell_origin": "client",
			"cell_type": "input",
			"cells": [
				{
					"cell_id": 1683878120515669961,
					"cell_origin": "server",
					"cell_type": "image_png",
					"source": "[encoded data, 24756 characters]"
				},
				{
					"cell_id": 6376836620133665408,
					"cell_origin": "server",
					"cell_type": "latex_view",
					"source": "{}$\\big[$$\\big]$"
				}
			],
			"source": "plt.cla()\nplt.plot(xv, exv)\nplt.plot(xv, exv2);"
		},
		{
			"cell_id": 10264276499275938942,
			"cell_origin": "client",
			"cell_type": "input",
			"cells": [
				{
					"cell_id": 7073526229691662930,
					"cell_origin": "server",
					"cell_type": "verbatim",
					"source": "\\begin{verbatim}[2.12132034]\\end{verbatim}"
				}
			],
			"source": "np.array(nevaluate( $3\\cos(3 x + \\pi/4)$, {$x$: [0]}));"
		},
		{
			"cell_id": 5431556865949466370,
			"cell_origin": "client",
			"cell_type": "input",
			"source": ""
		}
	],
	"description": "Cadabra JSON notebook format",
	"version": 1.0
}
