As far as more complex systems are being accessible for quantum chemical calculations, the reliability of the algorithms used becomes increasingly important. Trust-region strategies comprise a large family of optimization algorithms that incorporates both robustness and applicability for a great variety of problems. The objective of this work is to provide a basic algorithm and an adequate theoretical framework for the application of globally convergent trust-region methods to electronic structure calculations. Closed shell restricted Hartree-Fock calculations are addressed as finite-dimensional nonlinear programming problems with weighted orthogonality constraints. A Levenberg-Marquardt-like modification of a trust-region algorithm for con...
We present the implementation of a quadratically convergent self-consistent field (QCSCF) algorithm ...
Limited-memory quasi-Newton methods and trust-region methods represent two efficient approaches used...
A new trust-region algorithm for solving the general nonlinear programming problem is introduced. In...
As far as more complex systems are being accessible for quantum chemical calculations, the reliabili...
Abstract A theory of globally convergent trust-region methods for self-consistent field electronic s...
A theory of globally convergent trust-region methods for self-consistent field electronic structure ...
An algorithm for solving the problem of minimizing a non-linear function subject to equality constra...
AbstractWe present a class of trust region algorithms without using a penalty function or a filter f...
A trust-region algorithm for solving the equality constrained optimization problem is presented. Thi...
In this work, we present a one-step second-order converger for state-specific (SS) and state-average...
In this chapter a number of algorithms are described for the exact or approximate calculations of th...
Abstract. This paper extends the known excellent global convergence properties of trust region algor...
In this research we present a trust region algorithm for solving the equality constrained optimizati...
Limited memory quasi-Newton methods and trust-region methods represent two efficient approaches used...
Limited-memory quasi-Newton methods and trust-region methods represent two efficient approaches used...
We present the implementation of a quadratically convergent self-consistent field (QCSCF) algorithm ...
Limited-memory quasi-Newton methods and trust-region methods represent two efficient approaches used...
A new trust-region algorithm for solving the general nonlinear programming problem is introduced. In...
As far as more complex systems are being accessible for quantum chemical calculations, the reliabili...
Abstract A theory of globally convergent trust-region methods for self-consistent field electronic s...
A theory of globally convergent trust-region methods for self-consistent field electronic structure ...
An algorithm for solving the problem of minimizing a non-linear function subject to equality constra...
AbstractWe present a class of trust region algorithms without using a penalty function or a filter f...
A trust-region algorithm for solving the equality constrained optimization problem is presented. Thi...
In this work, we present a one-step second-order converger for state-specific (SS) and state-average...
In this chapter a number of algorithms are described for the exact or approximate calculations of th...
Abstract. This paper extends the known excellent global convergence properties of trust region algor...
In this research we present a trust region algorithm for solving the equality constrained optimizati...
Limited memory quasi-Newton methods and trust-region methods represent two efficient approaches used...
Limited-memory quasi-Newton methods and trust-region methods represent two efficient approaches used...
We present the implementation of a quadratically convergent self-consistent field (QCSCF) algorithm ...
Limited-memory quasi-Newton methods and trust-region methods represent two efficient approaches used...
A new trust-region algorithm for solving the general nonlinear programming problem is introduced. In...