From b9f13a59fad4ed40fb866ae2a1c7eca9609eabb6 Mon Sep 17 00:00:00 2001
From: vishwas1984 <visrao@vte.du>
Date: Tue, 26 Oct 2021 11:41:29 -0500
Subject: [PATCH] Corrected the documentation

Former-commit-id: a575ed57d7d83c0f763d88df1406b5c2e7991184
Former-commit-id: d28f53a5d1d752aaa18dca68b1a969e6d885e3f4
---
 .../obsolete/03_Movo2.ipynb.REMOVED.git-id    |  2 +-
 docs/src/index.md                             | 30 +++++++++++--------
 2 files changed, 19 insertions(+), 13 deletions(-)

diff --git a/Notebooks/obsolete/03_Movo2.ipynb.REMOVED.git-id b/Notebooks/obsolete/03_Movo2.ipynb.REMOVED.git-id
index 5aaee9f..41d94ee 100644
--- a/Notebooks/obsolete/03_Movo2.ipynb.REMOVED.git-id
+++ b/Notebooks/obsolete/03_Movo2.ipynb.REMOVED.git-id
@@ -1 +1 @@
-52381e42272a2052ea61b485747cbbea31d05e23
\ No newline at end of file
+18ffe2160bf6f9ebfd75c04752d118b743ba2694
\ No newline at end of file
diff --git a/docs/src/index.md b/docs/src/index.md
index 5555af6..03a1fc1 100644
--- a/docs/src/index.md
+++ b/docs/src/index.md
@@ -10,12 +10,19 @@ This package is unregistered, so please install using
 Pkg> add https://github.com/vishwas1984/LaplaceInterpolation.jl
 ```
 
+## Dependencies
+Install the following dependencies
+```
+Pkg> add TestImages
+Pkg> add Images
+Pkg> add Plots
+```
 ## Getting started
 
 Suppose we need to interpolate the following image 
 
 ``` 
-using LaplaceInterpolation, TestImgaes
+using LaplaceInterpolation, TestImages, Images, Random, Plots
 
 img = Float64.(Gray.(testimage("mandrill")))
 ```
@@ -26,7 +33,7 @@ For illustration purposes, we'll punch a few holes and randomize some data
 rows, columns = (256, 512)
 N = rows*columns
 
-mat = convert(Array{Float64}, imgg)[1:rows,1:columns]
+mat_original = convert(Array{Float64}, img)[1:rows,1:columns]
 
 N2 = Int64(round(N/2))
 No_of_nodes_discarded = Int64(round(0.9*N2))
@@ -38,32 +45,31 @@ rad = 30*ones(Int64, 2)
 discard2 = punch_holes_2D(cent, rad, rows, columns);
 
 discard = vcat(discard1, discard2)
-mat[discard] .= 1
+mat_discard = copy(mat_original)
+mat_discard[discard] .= 1
 
-heatmap(mat, title = "Image with Missing data", yflip = true, 
+heatmap(mat_discard, title = "Image with Missing data", yflip = true, 
               c = :bone, clims = (0.0, 1.0))
 ```
 
 Interpolating using the laplace and matern approximations, we get
 
 ```
-restored_img_laplace = matern_2d_grid(mat, discard, 1, 0.0)
-restored_img_matern = matern_2d_grid(mat, discard, 2, 0.0)
+restored_img_laplace = matern_2d_grid(mat_discard, discard, 1, 0.0)
+restored_img_matern = matern_2d_grid(mat_discard, discard, 2, 0.0)
 ```
 
 And plotting, we have
 
 ```
-p1 = heatmap(mat, title = "Original Data", yflip = true, 
+p1 = heatmap(mat_original, title = "Original Data", yflip = true, 
               c = :bone, clims = (0.0, 1.0))
-p2 = heatmap(holeyimage1, title = "Image with Missing data", yflip = true, 
+p2 = heatmap(mat_discard, title = "Image with Missing data", yflip = true, 
               c = :bone, clims = (0.0, 1.0))
 p3 = heatmap(restored_img_laplace, title = "Laplace Interpolated Image", yflip =
-true, 
-              c = :bone, clims = (0.0, 1.0))
+true, c = :bone, clims = (0.0, 1.0))
 p4 = heatmap(restored_img_matern, title = "Matern, m = 2, eps = 0.0", yflip =
-true, 
-              c = :bone, clims = (0.0, 1.0))
+true, c = :bone, clims = (0.0, 1.0))
 plot(p1, p2, p3, p4, layout = (2, 2), legend = false, size = (900, 500))
 
 ```