31050 ODE Superior Order  Conditional .ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d0a4feda-d45e-4376-afb1-4f2e279e8a98",
   "metadata": {},
   "outputs": [],
   "source": [
    "from Libaldomath import *\n",
    "from lib_MyDiff  import *"
   ]
  },
  {
   "attachments": {
    "7c609b5d-777e-4c6f-bbf4-25b71007601d.png": {
     "image/png": 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Vp2Mx91QUBlaNw7nDx3A3Ir3DZAqSZX5xMr/LfnPwk98lOPdbjcCFXbC+ewV0/jl1LlaluiDomgQRh+ehUtuhuPVcohJjO4zxD8FEJw261nXEWt3OIzJVXSsQHhSgAAUoQAEKUIACFKAABSjw7xHI0kGEnlnCCFOlbCVpnISXkWr033AQc9uVxqAqKuwq8AOu7RqFsN0T4dzOCw9kowfLKt0RGroSFr6jkavlD/qlGYvPn4Gn7RW0qFETfrekNAHq10HEoNpoPe+4fqj0IKKQ3zgJIibhyR8VEbnhWSUvll00Ri4TQ7yQfguzdwVhsOMdNM9VDX6xFaQi4mTq9p3OTlh9Nhq91t/EsraR+DpvZfhL78WMHO80q2xRF5MkiDCSnTpStIlISoj/I7gwliDi9KNtsN81BU4SRNyOVksFSWpFxKAtj/FTKwVGO9XEDyfvya4gUi2REIeYRDMMXh+K2e5adKtYFatv5MBQ78P6XTP6f2kjgY0xrE0NEWGYD9N9gzCi7m9omcsBvpqyWCQVEX11FRF1asrSjOfotvo2VnWKQ4v85bHjyX+bnQIufZfg0MLuWCdBRJfVbwcRc1GxzSDcDpfPpwcRtV6hmwQRa1gRkZGvDM+hAAUoQAEKUIACFKAABSjw2QlkzSBCaYECBXIjRROFR091b6lpR+F62HX0AJrkOov6dtUR0cMboT95YMOA2ui46KScpIJDy6Hw2TAWKr/xKNRmmn5pxvwzQehpexUesmxi123dtczRfMzP2Di6MbYPq4/2C4P0A+SWpRm7zm9CwV0T4dDzB31FxPB1/rK7RjkEzh+ALt8uhXSnQBHXYTgW8COUW79DidbTES09IhacOYIeEkR4NqivX1ZQ2k12xtjtheAJLdF0vC9epU1BmSs/itiaQxP2CL9FRL/3C9N79XXMbWOFaa1dMUHXrPJ9/TDsm+PU7U3It3saXGQXjjuyNEOtitVXEJR0HYsgaWAZvWooqvaYjYi0UfJW74szpxbBeKcXqnaaiEexsm3nim2Y3qYiTq8cjq4DFuK+nFvIZRCOHv4JplIZUlyWt0RKmDPnZKB+aUa/Bi76XTNKuI7B2YBJuDylDZqM2YL0mRhb26OonQW04Y/w4Fk0nD2XYZ/0iPDu7YAe637V34llyY4IvLQChY8sgEOHYbij22DD2Bajtp/GOMdX6NWwDtYHv78iwlS2AFVLMJOc+DuiIqL0FSBKtTnMTVUwTElCbOQLqfzQjSLbpuaygsIoRXY/0W1bmlpVY2aVCzkVsiGrBDPRskWp7lSVmYVscZoDBsmJ0IRHpG6vyoMCFKAABShAAQpQgAIUoAAFPopAFgsiVBIlyC4SlmUwaPrPmN27GvYuGIGt5+VNNWceeE6airJhwZg95RuM9wlFjpL14O27Ge7FojDjWy/cKt4JS7+po4dKPj4TFs7DpQllRWx4cBHt89yBR+li8LmhWwqhRruZ/tgwxEkaR9ZDg+myu4YcNhXa4syljSgoO1MUbDYSjzUF8J23H35oVUX/86eBi+DlfRH9Fi2F/c0d6N6wN/a+fI7ExCrwfhiKdjbh6FOrHJaekO0trfLDY/ACzB3bDJeWD8HqU5GAoSHaeS1H2YhtGNhpCHZfe4h4I2m6+VazyqG7NPixsQnmeXyFQVvPQSkv2fGa9DUKaUs5CrTF3QcbUSBoLso2HoQbsjRDqdDAUN6stTlt4TF0LhZOaoPoPfMwyecCDHJUgNeSwUg6Og8de03G+YfPoU0sgLF+xzDhP4X18ws/thxj155B7wUSEtzbhR6NesE/XHpMJFbG2jvn0SlfFAa4lMbCo2FQWeSD++B5mO/VEtdWDsPyoAgYGBnCY8xyVIzegSHdBmFz6BM0GrEFe6ZJwNOvEpotuaQfx6qMJ65eWQKbi6tQxrUHbugqRozzYuqJh/juqxgxLKU3fLNHhEptKm08NGg9OwibBzki8uAkVG8wDjfkoyXdBuDM7vmwTLmANkWqYIukKSZ2RbHu/G00twWWtCmNfj7X9WP3876PBW0L4ubafqjbdTF+k//n0HUGglcNB17sg2up/+BQhIQ6Cgl19IEGDwpQgAIUoAAFKEABClCAAhT4JwWyWBChm1rai7b8hryZZ0dUtssNlcIQKYnSKyLmCY5uWIPjj6Lk19ipvRJylq6Lfs2qw9LCAoqkVwiPiEGKvPDH3j2LFb7HkSAl/w07tkF5kxfw37IJ13X9CCSIKFOrEdyqFsGtY9vgF3xPb2puWwbNOrrB/M4ZeB8Mwss4aVa5aS+muRfB1pnjEBJjCXN1Drx6eRcHvL1x9lE0VGpdjpAXDTu1RnkLDQ5s24pLD6Mh2QF02UGNVj3gWqk4chrJkhB5UY97dhPb1y3H5WcyBZmq9j0vuw5NeqFOqRwI9t8uTR3lVVm3g0ham4z0h6+wKoO23d1gcu8ctu09iuex6b0mpOGkQpp8ynW/atYVrpWLw0wqCAwMExH18Ba2rl2Nm7KExVTuWxNrhWpNvoZTKRupMEiG0twK5lIZEBd5D4c2bcSpB5Fp87OTXhytUdE6Doe2bcGFB6/nV9W9GxpWLgm1cdr8nt/GjvUrcSlM56xAUQdXtKhTBtcObsDui2H62zfNUxGtO7lKA84L8N5zCM/lfqROAo6t26J6vgQc9PXBRTGUFTmIT/eRXU0QH49StdzRRJ7by5snsGvnaegyDJtildG0WT1Yxj2E/+YtuC4lIEqLXKjXvCvK5o5HqP8mBF5PXR9TqUFH1K9giycXD2DPwUuQeAj5yjmheaNqMH5xA35bd+G+RpYCSa0Ec4h/8q8aXosCFKAABShAAQpQgAIUoECqQBYMInS3pYBanSBNKt//mNSy5WWsropA+kfI3pcf5VmmBgz2GOa9V7aizIWeFeyx7vUulfoxZXR9T4b/duiv8d45vA4LPsrN6+5NlnNo37O9qcQA+sqJP17wP3T/WXh+H8uN16UABShAAQpQgAIUoAAFKECBjyuQRYOI1DDC1EwFXWvJN48kqYKITXjjd9Xytm8ma/7fOZISEJO25YLa1AxGBinQxqTuKqE7lPK5HPpeAb+nhhr6I23MpCSpqpBtOrUFMGF/CMa62OD7OpZYeD5ZV9SApGT55637SB8jQav5U5WD2tRUxn5zFil4+5y37123DEEhFRQJ2pj3Vkz8+V5fz/Od68jYir8YO32stz+b0fmp3hkDf7rv184xb+yAIQ1IzRQwkJ4OMbKdZ/qhkuekkOf0IZ/066XI89Wkb6mha2iaQ66HPz/j1Geie1YydtqDT5/v2583k89D7kcr98NKiI/7lw6vTgEKUIACFKAABShAAQpkb4EsHERk7oNJXflhjbpduqNBGRPsXjoFx+8m/nm5QObeIkenAAUoQAEKUIACFKAABShAAQp8dgIMIj67R8YbpgAFKEABClCAAhSgAAUoQAEKfL4CDCL+4tnplgsoZTlGfNyHlkl8vl8A3jkFKEABClCAAhSgAAUoQAEKUOBTCjCI+JTaHIsCFKAABShAAQpQgAIUoAAFKJDNBRhEZPMvAKdPAQpQgAIUoAAFKEABClCAAhT4lAJZIogw+j36U86ZY1GAAhSgAAUoQAEKUIACFKAABSiQSQJJOcwzNLKBJBYpGTrzb5x0t73d3/gUP0IBClCAAhSgAAUoQAEKUIACFKDA5yZQxDssQ7f8UYOIm+1sM3QTPIkCFKAABShAAQpQgAIUoAAFKECBz1ugxManGZoAg4gMMfEkClCAAhSgAAUoQAEKUIACFKAABT4kkCWCCD4iClCAAhSgAAUoQAEKUIACFKAABSjwpsBHrYggNQUoQAEKUIACFKAABShAAQpQgAIUYBDB7wAFKEABClCAAhSgAAUoQAEKUIACmSLAiohMYeegFKAABShAAQpQgAIUoAAFKECB7CnAICJ7PnfOmgIUoAAFKEABClCAAhSgAAUokCkCDCIyhZ2DUoACFKAABShAAQpQgAIUoAAFsqcAg4js+dw5awpQgAIUoAAFKEABClCAAhSgQKYIMIjIFHYOSgEKUIACFKAABShAAQpQgAIUyJ4CDCKy53PnrClAAQpQgAIUoAAFKEABClCAApkiwCAiU9g5KAUoQAEKUIACFKAABShAAQpQIHsKMIjIns+ds6YABShAAQpQgAIUoAAFKEABCmSKAIOITGHnoBSgAAUoQAEKUIACFKAABShAgewpwCAiez53zpoCFKAABShAAQpQgAIUoAAFKJApAgwiMoWdg1KAAhSgAAUoQAEKUIACFKAABbKnAIOI7PncOWsKUIACFKAABShAAQpQgAIUoECmCDCIyBR2DkoBClCAAhSgAAUoQAEKUIACFMieAgwisudz56wpQAEKUIACFKAABShAAQpQgAKZIsAgIlPYOSgFKEABClCAAhSgAAUoQAEKUCB7Cvwf8YqMuBc7Sm4AAAAASUVORK5CYII="
    }
   },
   "cell_type": "markdown",
   "id": "9c39307f-929b-40ed-85cc-ab572fe92637",
   "metadata": {},
   "source": [
    "![image.png](attachment:7c609b5d-777e-4c6f-bbf4-25b71007601d.png)"
   ]
  },
  {
   "attachments": {
    "7843857d-f360-42aa-861f-3b837810bffd.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "id": "b9f3a1af-822b-4846-ab09-38cd3e0e07a2",
   "metadata": {},
   "source": [
    "![image.png](attachment:7843857d-f360-42aa-861f-3b837810bffd.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "70b4c517-b38f-40d1-abc2-736724aff838",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$\\displaystyle y + 3 y' = 3 x^{2} + 20 x + 18$"
      ],
      "text/plain": [
       "<IPython.core.display.Math object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Q=MyDiff(\"y(x)+3*y'\",\"3*x*x+20*x+18\",x,y,ics=\"y'(0)=2,y(3)=45\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "041cc1ee-1ffe-46e3-a672-12710c64f5e8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/latex": [
       "$\\displaystyle y{\\left(x \\right)} = 3 x^{2} + 2 x + 12$"
      ],
      "text/plain": [
       "          2           \n",
       "y(x) = 3⋅x  + 2⋅x + 12"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Q.dsolve()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b64fc5a5-8eff-4872-9c0c-455b61d79b44",
   "metadata": {},
   "outputs": [],
   "source": [
    "from Libaldomath import *\n",
    "from lib_MyDiff  import *"
   ]
  },
  {
   "attachments": {
    "7c609b5d-777e-4c6f-bbf4-25b71007601d.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "417b2c53-3ba2-4dad-810b-510dde3af05b",
   "metadata": {},
   "source": [
    "![image.png](attachment:7c609b5d-777e-4c6f-bbf4-25b71007601d.png)"
   ]
  },
  {
   "attachments": {
    "ff8d131c-5877-4d05-a275-8f3fe2b1b2c1.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "id": "9a58f5ce-762b-4b34-b374-7b8db211cf0e",
   "metadata": {},
   "source": [
    "![image.png](attachment:ff8d131c-5877-4d05-a275-8f3fe2b1b2c1.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "48a5ed46-8e40-4381-81a2-7acc7b0d3d4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# and... y''(0)=2,y'(0)=1,y(0)=6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1e43bf05-02dd-4c97-97e3-bb3925d80af1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$\\displaystyle y'' = 20 x^{3} + 24 x^{2} + 60 x$"
      ],
      "text/plain": [
       "<IPython.core.display.Math object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Qd=MyDiff(\"y''\",\"20*x**3+24*x*x+60*x\",x,y,ics=\"y''(0)=2,y'(0)=1,y(0)=6\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d204a6ac-0565-493f-be70-34a9e0cdbde4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/latex": [
       "$\\displaystyle y{\\left(x \\right)} = x^{5} + 2 x^{4} + 10 x^{3} + x + 6$"
      ],
      "text/plain": [
       "        5      4       3        \n",
       "y(x) = x  + 2⋅x  + 10⋅x  + x + 6"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Qd.dsolve()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "28a1dbcd-1285-4eb3-ae92-6a810f518da2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}