DYNO-pods-v1.0.0

Dynamically Normalized Objective Function (DYNO) is a novel objective function (used with optimization algorithms) for multi-variable (i.e., temperature and velocity) model calibration problems. DYNO combines the error metrics of multiple variables into a single objective function by dynamically normalizing each variable's error terms using information available during the search. DYNO is proposed to dynamically adjust the weight of the error of each variable hence balancing the calibration to each variable during optimization search.