Non-Convex Split Feasibility Problems: Models, Algorithms and Theory.

Aviv Gibali Shoham Sabach Sergey Voldman

Published in: Open J. Math. Optim. (2020)

Keyphrases

optimization problems
benchmark problems
computational problems
linear algebra
practical problems
test problems
theoretical and empirical study
convex optimization problems

theoretical models
machine learning algorithms
computationally efficient
computational models
mathematical models
approximate solutions
convex functions
learned models

structured prediction problems
theoretical and practical aspects
semi definite programming
minimization problems
learning algorithm
estimation problems
data mining
machine learning

genetic algorithm
binary classification problems
computational complexity
problems in computer vision
np complete
potential functions
numerical methods
convex optimization