From 3ddf5ef7f8db148e7d10e7460cea5487a6860351 Mon Sep 17 00:00:00 2001
From: Morten Piibeleht <morten.piibeleht@gmail.com>
Date: Thu, 20 Apr 2023 17:28:20 +1200
Subject: [PATCH 1/2] Fix equation formatting in the manual

---
 docs/src/radials.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/docs/src/radials.md b/docs/src/radials.md
index 4fbe50d60..2ed4a98b6 100644
--- a/docs/src/radials.md
+++ b/docs/src/radials.md
@@ -1,7 +1,9 @@
 ## Radial Surrogates
 The Radial Basis Surrogate model represents the interpolating function as a linear combination of basis functions, one for each training point. Let's start with something easy to get our hands dirty. I want to build a surrogate for:
 
-`f(x) = log(x)*x^2+x^3``
+```math
+f(x) = \log(x) \cdot x^2+x^3
+```
 
 Let's choose the Radial Basis Surrogate for 1D. First of all we have to import these two packages: `Surrogates` and `Plots`,
 

From 1e77ff276d435e0a578eb0631297182f1f7d1e07 Mon Sep 17 00:00:00 2001
From: Morten Piibeleht <morten.piibeleht@gmail.com>
Date: Thu, 20 Apr 2023 17:37:26 +1200
Subject: [PATCH 2/2] LinearSurrogate.md: another slightly problematic one

---
 docs/src/LinearSurrogate.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/src/LinearSurrogate.md b/docs/src/LinearSurrogate.md
index 0d9c5c5a2..2acff9799 100644
--- a/docs/src/LinearSurrogate.md
+++ b/docs/src/LinearSurrogate.md
@@ -1,7 +1,7 @@
 ## Linear Surrogate
 Linear Surrogate is a linear approach to modeling the relationship between a scalar response or dependent variable and one or more explanatory variables. We will use Linear Surrogate to optimize following function:
 
-$f(x) = sin(x) + log(x)$.
+$f(x) = \sin(x) + \log(x)$
 
 First of all we have to import these two packages: `Surrogates` and `Plots`.