class branch

lecture.ipynb

@@ -7,22 +7,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from optimization.common import *\n",
-    "from optimization.gradient import *"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "302d9c60",
-   "metadata": {
-    "slideshow": {
-     "slide_type": "fragment"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "funcPlot1d(environ=\"jupyterlab\")"
+    "from algorithm.optimization.common import *\n",
+    "from algorithm.optimization.gradient import *"
    ]
   },
   {
@@ -34,7 +20,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "776f68cc5732452382ee39d4ac337bba",
+       "model_id": "3879a8b297fa4dffacb2dc6aba04dc5f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -48,7 +34,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0032d539590641b484466da05a125e19",
+       "model_id": "8c7609027a8d4f56a8492fda092401b6",
        "version_major": 2,
        "version_minor": 0
       },
@@ -62,7 +48,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "cdc7760b287b4a7881f0c2288ddcb0af",
+       "model_id": "1fa7e58deae44726bb5868c3454b3c4a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -76,7 +62,7 @@
     {
      "data": {
       "text/plain": [
-       "<optimization.gradient.gd_1d at 0x1a753d29748>"
+       "<algorithm.optimization.gradient.gd_1d at 0x24697aae548>"
       ]
      },
      "execution_count": 3,
@@ -90,21 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "7c589589",
-   "metadata": {
-    "slideshow": {
-     "slide_type": "fragment"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "funcPlot2d(environ=\"jupyterlab\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 5,
    "id": "f28bd167",
    "metadata": {
     "slideshow": {
@@ -115,7 +87,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3ad25604b04c4023a838429d3ceccbaa",
+       "model_id": "3e3eda22a6eb43bc836431a749170cc1",
        "version_major": 2,
        "version_minor": 0
       },
@@ -129,7 +101,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d913b214c8a54e1897eb161fdc41d04f",
+       "model_id": "94b62fa1c4c24a359419e7b9087c63a4",
        "version_major": 2,
        "version_minor": 0
       },
@@ -143,7 +115,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "39765310aa524308a29842b1770f7f3c",
+       "model_id": "4eccbd5a5fd94a7ab11f561e2ba2d247",
        "version_major": 2,
        "version_minor": 0
       },
@@ -157,7 +129,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6d9886e39bd44ab39269fb3cd8e27af0",
+       "model_id": "2c3d255d1b984fc38f8f3da9ebb4fd38",
        "version_major": 2,
        "version_minor": 0
       },
@@ -171,10 +143,10 @@
     {
      "data": {
       "text/plain": [
-       "<optimization.gradient.gd2d at 0x1a752773f88>"
+       "<algorithm.optimization.gradient.gd2d at 0x24697af6248>"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -185,10 +157,63 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "d5651fc9-3fcd-4e91-8d3c-04897da1ea02",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "6bf4e3de13db419883591537fc222a36",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "VBox(children=(HBox(children=(Dropdown(options=(('(1 - 8 * x1 + 7 * x1**2 - (7/3) * x1**3 + (1/4) * x1**4) * x…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "7aea5da550ff487da02c07710a3a5078",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "7b8c6c9cbceb4eeaa1e1187cb01476af",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<algorithm.optimization.gradient.gd2d_compete at 0x24697e44788>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "gd2d_compete(environ=\"jupyterlab\")"
    ]
@@ -196,7 +221,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f0c08039-6581-4b40-9e08-df40f8395e2b",
+   "id": "7defa790-4169-4e6e-8cb9-1ba867fcc08b",
    "metadata": {},
    "outputs": [],
    "source": []