Nonlinear equations, Optimization problems, Quasi-Newton methods, Rate of convergence, Linear convergence, Superlinear convergence, Hilbert space, Matrix equations, Algebraic Riccati equation,
In optimization in Rn with m nonlinear equality constraints, we study the local convergence of reduc...
AbstractQuasi-Gauss-Newton methods for nonlinear equations are investigated. A Quasi-Gauss-Newton me...
In this thesis we study the local convergence of quasi-Newton methods for nonlinear optimization pro...
We investigate the use of exact structure in the Hessian for optimization problems in a general Hilb...
We first recall some properties of infinite tridiagonal matrices considered as matrix transformation...
AbstractAn algorithm for solving systems of nonlinear algebraic equations is described. The Jacobian...
In this paper, we take a quasi-Newton approach to nonlinear eigenvalue problems (NEPs) of the type M...
Abstract This paper analyzes local convergence rates of primal-dual interior point methods for gener...
Newton's method is a well known and often applied technique for computing a zero of a nonlinear func...
Quasi-Newton algorithms for unconstrained nonlinear minimization generate a sequence of matrices tha...
summary:A survey note whose aim is to establish the heuristics and natural relations in a class of Q...
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
AbstractThe quasi-Newton family of algorithms for minimizing functions and solving systems of nonlin...
General variational inequalities, Quasi-Newton method, Global convergence, Superlinear convergence,
One of the widely used methods for solving a nonlinear system of equations is the quasi-Newton metho...
In optimization in Rn with m nonlinear equality constraints, we study the local convergence of reduc...
AbstractQuasi-Gauss-Newton methods for nonlinear equations are investigated. A Quasi-Gauss-Newton me...
In this thesis we study the local convergence of quasi-Newton methods for nonlinear optimization pro...
We investigate the use of exact structure in the Hessian for optimization problems in a general Hilb...
We first recall some properties of infinite tridiagonal matrices considered as matrix transformation...
AbstractAn algorithm for solving systems of nonlinear algebraic equations is described. The Jacobian...
In this paper, we take a quasi-Newton approach to nonlinear eigenvalue problems (NEPs) of the type M...
Abstract This paper analyzes local convergence rates of primal-dual interior point methods for gener...
Newton's method is a well known and often applied technique for computing a zero of a nonlinear func...
Quasi-Newton algorithms for unconstrained nonlinear minimization generate a sequence of matrices tha...
summary:A survey note whose aim is to establish the heuristics and natural relations in a class of Q...
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
AbstractThe quasi-Newton family of algorithms for minimizing functions and solving systems of nonlin...
General variational inequalities, Quasi-Newton method, Global convergence, Superlinear convergence,
One of the widely used methods for solving a nonlinear system of equations is the quasi-Newton metho...
In optimization in Rn with m nonlinear equality constraints, we study the local convergence of reduc...
AbstractQuasi-Gauss-Newton methods for nonlinear equations are investigated. A Quasi-Gauss-Newton me...
In this thesis we study the local convergence of quasi-Newton methods for nonlinear optimization pro...