diff --git a/docs/calculating quantities.ipynb b/docs/calculating quantities.ipynb
index 76890ee6..b1efbd9f 100644
--- a/docs/calculating quantities.ipynb
+++ b/docs/calculating quantities.ipynb
@@ -52,7 +52,7 @@
{
"data": {
"text/plain": [
- "54.321684719154966"
+ "54.32566715771646"
]
},
"execution_count": 1,
@@ -76,7 +76,7 @@
{
"data": {
"text/plain": [
- "54.00283979240904"
+ "54.45773513531054"
]
},
"execution_count": 2,
@@ -111,7 +111,7 @@
{
"data": {
"text/plain": [
- "5.743478523097124"
+ "5.7437225898123465"
]
},
"execution_count": 3,
@@ -127,11 +127,9 @@
},
{
"cell_type": "markdown",
- "metadata": {
- "raw_mimetype": "text/restructuredtext"
- },
+ "metadata": {},
"source": [
- "Under the hood, this method makes use of {mod}`quimb.tensor` functionality, which allows [various tensor contraction backends](http://optimized-einsum.readthedocs.io/en/latest/backends.html) to be used (see {func}`~quimb.tensor.tensor_core.set_tensor_linop_backend`). These types of computation are particularly suited to the GPU and therefore if [cupy](https://cupy.chainer.org) is installed it will be used automatically:"
+ "To inspect the process you can supply an `info` dict, and optionally also have the trials plotted like so:"
]
},
{
@@ -140,15 +138,2913 @@
"metadata": {},
"outputs": [
{
- "name": "stdout",
+ "name": "stderr",
"output_type": "stream",
"text": [
- "2.21 s ± 194 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+ "1.217(12)e+11: 40%|############################4 | 411/1024 [00:34<00:50, 12.03it/s]\n"
]
+ },
+ {
+ "data": {
+ "image/svg+xml": [
+ "\n",
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ "