[L5-3] Rewrite note about speed-up; correct typo in code comment

victe · Aug 30, 2018 · f6c1c9d · f6c1c9d
1 parent f4903bd
commit f6c1c9d
Showing 1 changed file with 7 additions and 7 deletions.
diff --git a/lessons/05_relax/05_03_Iterate.This.ipynb b/lessons/05_relax/05_03_Iterate.This.ipynb
@@ -163,7 +163,7 @@
     "        The final relative L2-norm of the difference.\n",
     "    \"\"\"\n",
     "    p = p0.copy()\n",
-    "    diff = rtol + 1.0  # intial difference\n",
+    "    diff = rtol + 1.0  # initial difference\n",
     "    ite = 0  # iteration index\n",
     "    while diff > rtol and ite < maxiter:\n",
     "        pn = p.copy()\n",
@@ -366,7 +366,7 @@
     "    \"\"\"\n",
     "    ny, nx = p0.shape\n",
     "    p = p0.copy()\n",
-    "    diff = rtol + 1.0  # intial difference\n",
+    "    diff = rtol + 1.0  # initial difference\n",
     "    ite = 0  # iteration index\n",
     "    while diff > rtol and ite < maxiter:\n",
     "        pn = p.copy()\n",
@@ -703,7 +703,7 @@
     "    ny, nx = p0.shape\n",
     "    p = p0.copy()\n",
     "    conv = []  # convergence history\n",
-    "    diff = rtol + 1.0  # intial difference\n",
+    "    diff = rtol + 1.0  # initial difference\n",
     "    ite = 0  # iteration index\n",
     "    while diff > rtol and ite < maxiter:\n",
     "        pn = p.copy()\n",
@@ -849,7 +849,7 @@
     "    ny, nx = p0.shape\n",
     "    p = p0.copy()\n",
     "    conv = []  # convergence history\n",
-    "    diff = rtol + 1.0  # intial difference\n",
+    "    diff = rtol + 1.0  # initial difference\n",
     "    ite = 0  # iteration index\n",
     "    while diff > rtol and ite < maxiter:\n",
     "        pn = p.copy()\n",
@@ -920,7 +920,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We get some speed-up over the Numba version of Jacobi, but not a lot. And you may see quite different results—on some of the machines we tried, we could still not beat the NumPy version of Jacobi. This can be confusing, and hard to explain without getting into the nitty grity of hardware optimizations.\n",
+    "We get no speed-up over the Numba version of Jacobi, and you may see different results. On some of the machines we tried, we could not beat the NumPy version of Jacobi. This can be confusing, and hard to explain without getting into the nitty grity of hardware optimizations.\n",
     "\n",
     "Don't lose hope! We have another trick up our sleeve!"
    ]
@@ -994,7 +994,7 @@
     "    ny, nx = p0.shape\n",
     "    p = p0.copy()\n",
     "    conv = []  # convergence history\n",
-    "    diff = rtol + 1.0  # intial difference\n",
+    "    diff = rtol + 1.0  # initial difference\n",
     "    ite = 0  # iteration index\n",
     "    while diff > rtol and ite < maxiter:\n",
     "        pn = p.copy()\n",
@@ -1498,7 +1498,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,