Jl. Nazareth, TRUST REGIONS BASED ON CONIC FUNCTIONS IN LINEAR AND NONLINEAR-PROGRAMMING, Numerical linear algebra with applications, 2(3), 1995, pp. 235-241
An optimization method is developed based on ellipsoidal trust regions
that are defined by conic functions. It provides a powerful unifying
theory from which can be derived a variety of interesting and potentia
lly useful optimization algorithms, in particular, conjugate-gradient-
like algorithms for nonlinear minimization and Karmarkar-like interior
-point algorithms for linear programming.