Low-Rank Semidefinite Programming

Reviews the theory of low-rank semidefinite programming, presenting theorems that guarantee the existence of a low-rank solution, heuristics for computing low-rank solutions, and algorithms for finding low-rank approximate solutions. The book then presents applications of the theory to trust-region problems and signal processing.