Updated header of scripts to be more descriptive of what inversion is being performed.

Author: hayakawa16

inverse-solutions/r-of-fx-multi-op-prop-inversion.py

@@ -1,6 +1,10 @@
 # This is an example of python code using VTS to provide inverse solution
-# for R(fx) to find chromophore concentrations and power law coefficients.
-# The optimization uses the Vts library MPFitLevenbergMarquardt method Solve
+# for R(fx) to find chromophore concentrations [Hb HbO2] and power law 
+# coefficients [A b] using fixed fx=[0 0.2]/mm and wavelengths=[650:50:1000]nm.  
+# Scaled Monte Carlo with Nurbs forward solver provides the simulated 
+# measured data and PointSourceSDA 
+# provides the model used during the inversion.
+# The optimization is performed by a python library scipy.
 #
 # Import the Operating System so we can access the files for the VTS library
 from pythonnet import load

inverse-solutions/r-of-rho-multi-op-prop-inversion-using-csharp-solve.py

@@ -1,5 +1,10 @@
 # This is an example of python code using VTS to provide inverse solution
-# for R(rho) to find chromophore concentrations and power law coefficients.
+# for R(rho) to find chromophore concentrations of [Hb HbO2 H2O], with
+# fixed single rho=1mm, 13 wavelengths [400:50:1000]nm and scatterer
+# Power Law coefficients A=1.2, b=1.42.
+# Scaled Monte Carlo with Nurbs forward solver provides the simulated
+# measured data and PointSourceSDA provides the model used during the
+# inversion.
 # The optimization is performed by the Vts library MPFitLevenbergMarquardt
 # method Solve.
 #

inverse-solutions/r-of-rho-multi-op-prop-inversion.py

@@ -1,6 +1,12 @@
 # This is an example of python code using VTS to provide inverse solution
-# for R(rho) to find chromophore concentrations and power law coefficients.
-# The optimization is performed by a python library scipy.
+# for R(rho) to find chromophore concentrations of [Hb HbO2 H2O], with
+# fixed single rho=1mm, 13 wavelengths [400:50:1000]nm and scatterer 
+# Power Law coefficients A=1.2, b=1.42.
+# Scaled Monte Carlo with Nurbs forward solver provides the simulated 
+# measured data and PointSourceSDA provides the model used during the 
+# inversion.
+# The optimization is performed by a python library scipy. 
+
 #
 # Import the Operating System so we can access the files for the VTS library
 from pythonnet import load