Simplex_Method_Visual.ipynb

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      "name": "Simplex_Method_Visual.ipynb",
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        "pip install gilp"
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      "outputs": [
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            "Collecting gilp\n",
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            "\u001b[K     |████████████████████████████████| 13.2MB 301kB/s \n",
            "\u001b[?25hRequirement already satisfied: scipy>=1.3 in /usr/local/lib/python3.7/dist-packages (from gilp) (1.4.1)\n",
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            "\u001b[?25hRequirement already satisfied: numpy>=1.16 in /usr/local/lib/python3.7/dist-packages (from gilp) (1.19.5)\n",
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    {
      "cell_type": "code",
      "metadata": {
        "id": "MvC0IoyhoBf3"
      },
      "source": [
        "import numpy as np\n",
        "from gilp.simplex import LP\n",
        "from gilp.visualize import simplex_visual\n",
        "from gilp import examples as ex"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
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          "height": 604
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        "id": "flKbhwnboDMg",
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      "source": [
        "# User Defined Input\n",
        "\n",
        "# Example Input\n",
        "A = np.array([[0, 1], [1, -1],\n",
        "              [1, 0],\n",
        "              [-2, 1]])\n",
        "\n",
        "b = np.array([4,2,3,0])\n",
        "\n",
        "c = np.array([1,2])\n",
        "\n",
        "lp = LP(A,b,c)\n",
        "\n",
        "x = np.array([[0],[0],[0],[5],[25],[125]])\n",
        "l = 7\n",
        "\n",
        "# x = np.array([[0],[25],[25]])\n",
        "simplex_visual(ex.DODECAHEDRON_3D_LP).show()\n",
        "# simplex_visual(ex.KLEE_MINTY_3D_LP, initial_solution=x).show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/numpy/core/fromnumeric.py:87: VisibleDeprecationWarning:\n",
            "\n",
            "Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
            "\n"
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          "metadata": {
            "tags": []
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    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 604
        },
        "id": "zK-RGkLSoFYx",
        "outputId": "bc49f5fb-ffa2-42a1-8159-2fe0a2e64d89"
      },
      "source": [
        "A = np.array([[0, 1],\n",
        "              [1, -1],\n",
        "              [1, 0],\n",
        "              [-2, 1]])\n",
        "b = np.array([[4],\n",
        "              [2],\n",
        "              [3],\n",
        "              [0]])\n",
        "c = np.array([[1],\n",
        "              [2]])\n",
        "\n",
        "lp = LP(A,b,c)\n",
        "\n",
        "x = np.array([[2],[0],[4],[0],[1],[4]])\n",
        "l = 7\n",
        "\n",
        "# simplex_visual(lp).show()\n",
        "simplex_visual(lp, initial_solution=x).show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/numpy/core/fromnumeric.py:87: VisibleDeprecationWarning:\n",
            "\n",
            "Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
            "\n"
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          "name": "stderr"
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