While mathematically sophisticated methods can be used to better understand and improve processes, the nonlinear nature of food processing models can make their dynamic optimization a daunting task. With contributions from a virtual who''s who in the food processing industry, Optimization in Food Engineering evaluates the potential uses and limitati

While mathematically sophisticated methods can be used to better understand and improve processes, the nonlinear nature of food processing models can make their dynamic optimization a daunting task. With contributions from a virtual who''s who in the food processing industry, Optimization in Food Engineering evaluates the potential uses and limitati

While mathematically sophisticated methods can be used to better understand and improve processes, the nonlinear nature of food processing models can make their dynamic optimization a daunting task. With contributions from a virtual who''s who in the food processing industry, Optimization in Food Engineering evaluates the potential uses and limitati