Multiphase Flow Modeling
Regularization techniques are methods used in mathematical modeling and statistical analysis to prevent overfitting, particularly in situations where the model is overly complex or when dealing with noisy data. These techniques introduce additional information or constraints to the optimization process, promoting simpler models that better generalize to new, unseen data. By balancing the fit of the model to the training data with a penalty for complexity, regularization enhances the stability and performance of algorithms, making them more robust in various applications.
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