Abstract
Using “model-aided research” techniques to quantify the above mentioned processes is enabled with a math modeling tool like the SimuSolv simulation, parameter estimation and optimization software package. Complex, multiresponse and multicompartment processes can not be represented in a rigorous fashion with traditional, and more empirical, linearization techniques. Advanced numerical integration, sensitivity analysis, nonlinear statistics and nonlinear optimization methods are necessary to fully describe a process in a truly mechanistic sense. Realizing this higher level approach to math modeling without being an expert in numerical methods or computing can be accomplished via the SimuSolv software. This model-aided research process and the mathematical components imbedded therein as well as the application in several examples are described.
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