Proper Generalized Decomposition for Nonlinear Convex Problems in Tensor   Banach Spaces
  Tensor-based methods are receiving a growing interest in scientific computing for the numerical solution of problems defined in high dimensional tensor product spaces. A family of methods called Proper Generalized Decompositions methods have been recently introduced for the a priori construction of tensor approximations of the solution of such problems. In this paper, we give a mathematical analysis of a family of progressive and updated Proper Generalized Decompositions for a particular class of problems associated with the minimization of a convex functional over a reflexive tensor Banach space. 
Antonio Falco and Anthony Nouy
math.NA math.FA math.OC