{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Singular Value Decomposition\n", "\n", "This notebook introduces the `da.linalg.svd` algorithms for the Singular Value Decomposition" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Start Dask Client for Dashboard\n", "\n", "Starting the Dask Client is optional. It will provide a dashboard which \n", "is useful to gain insight on the computation. \n", "\n", "The link to the dashboard will become visible when you create the client below. We recommend having it open on one side of your screen while using your notebook on the other side. This can take some effort to arrange your windows, but seeing them both at the same is very useful when learning." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2021-01-14T10:50:09.364371Z", "iopub.status.busy": "2021-01-14T10:50:09.363810Z", "iopub.status.idle": "2021-01-14T10:50:10.669629Z", "shell.execute_reply": "2021-01-14T10:50:10.670015Z" } }, "outputs": [ { "data": { "text/html": [ "
\n",
"Client\n", "
| \n",
"\n",
"Cluster\n", "
| \n",
"