From 3ff2cc2337d8dc1a886d9f1398380dbcbc27b445 Mon Sep 17 00:00:00 2001
From: Pedro Gomes <38071223+pcarruscag@users.noreply.github.com>
Date: Fri, 25 Oct 2024 07:00:11 -0700
Subject: [PATCH] Apply suggestions from code review

---
 Common/src/CConfig.cpp | 8 ++++++--
 config_template.cfg    | 4 ++--
 2 files changed, 8 insertions(+), 4 deletions(-)

diff --git a/Common/src/CConfig.cpp b/Common/src/CConfig.cpp
index e3db9abb0e0..8a60579189c 100644
--- a/Common/src/CConfig.cpp
+++ b/Common/src/CConfig.cpp
@@ -1781,8 +1781,12 @@ void CConfig::SetConfig_Options() {
    * Parameters in square brackets are optional, parameter "starting iteration" only valid with parameter "acceptable linear residual".
    * Factor down generally <1.0, factor up generally > 1.0 to cause the CFL to increase when the under-relaxation parameter is 1.0
    * and to decrease when the under-relaxation parameter is less than 0.1. Factor is multiplicative. \ingroup Config*/
-  default_cfl_adapt[0] = 0.1; default_cfl_adapt[1] = 2.0; default_cfl_adapt[2] = 10.0; default_cfl_adapt[3] = 1e10;
-  default_cfl_adapt[4] = 0.001; default_cfl_adapt[5] = 0.0;
+  default_cfl_adapt[0] = 0.1;
+  default_cfl_adapt[1] = 1.2;
+  default_cfl_adapt[2] = 10.0;
+  default_cfl_adapt[3] = 100.0;
+  default_cfl_adapt[4] = 0.001;
+  default_cfl_adapt[5] = 0.0;
   addDoubleListOption("CFL_ADAPT_PARAM", nCFL_AdaptParam, CFL_AdaptParam);
   /* DESCRIPTION: Reduction factor of the CFL coefficient in the adjoint problem */
   addDoubleOption("CFL_REDUCTION_ADJFLOW", CFLRedCoeff_AdjFlow, 0.8);
diff --git a/config_template.cfg b/config_template.cfg
index 2d1ef4884c0..8a953b7be78 100644
--- a/config_template.cfg
+++ b/config_template.cfg
@@ -1390,8 +1390,8 @@ CFL_ADAPT= NO
 %
 % Parameters of the adaptive CFL number (factor-down, factor-up, CFL min value,
 %                                        CFL max value, acceptable linear solver convergence, starting iteration)
-% After the starting iteration has passed, local CFL increases by factor-up until max if the solution rate of change is not limited,
-% and acceptable linear convergence is achieved. It is reduced if rate is limited, or if there
+% After the starting iteration has passed, local CFL increases by factor-up until max if the solution rate of
+% change is not limited, and acceptable linear convergence is achieved. It is reduced if rate is limited, or if there
 % is not enough linear convergence, or if the nonlinear residuals are stagnant and oscillatory.
 % It is reset back to min when linear solvers diverge, or if nonlinear residuals increase too much.
 CFL_ADAPT_PARAM= ( 0.1, 2.0, 10.0, 1e10, 0.001, 0)