Numerical Analysis, Optimization, Dimensionality Reduction, Curse Of Dimensionality, Reduced Order Modeling.
higher dimension, over which we look for a linear active subspace. This idea is inspired by support vector machines and the use of kernel PCA. The second approach, called Local AS or LAS [11] , relies on the construction of local linear models exploiting a clustering of the data. This is done using