Abstract Loss functions with a large number of saddle points are one the major obstacles for training modern machine learning (ML) models efficiently. First-order methods such as gradient descent (GD) usually choice ML models. However, these converge to certain choices initial guesses. In this paper, we propose modification recently proposed Laplacian smoothing (LSGD) [Osher et al., arXiv:1806....

perishability of blood products as well as uncertainty in demand amounts complicate the management of blood supply for blood centers. this paper addresses a mixed-integer linear programming model for blood platelets production planning while integrating the processes of blood collection as well as production/testing, inventory control and distribution. whole blood-derived production methods for...