Function optimization is a calculation that pervades much of numerical analysis. In the context of macromolecules, the function to be optimized (minimized) is an energy. The goal of energy minimization is simply to find the local energy minimum. The energy at this local minimum may be much higher than the energy of the global minimum. Physically, energy minimization corresponds to an instantaneous freezing of the system; a static structure in which no atom feels a net force corresponds to a temperature of 0 K. The potential energy calculated by summing the energies of various interactions is a numerical value for a single conformation. Energy minimization is usually performed by gradient optimization: atoms are moved so as to reduce the net...
Properties of minima obtained by two different local minimization algorithms, the conjugate gradient...
Abstract. For atomistic material models, global minimization gives the wrong qualitative behavior; a...
For atomistic material models, global minimization gives the wrong qualitative behavior; a theory of...
Abstract: Function optimization is a calculation that pervades much of numerical analysis. In the co...
There are several tools to improve initial structural estimates of a molecule under study. The metho...
There are several tools to improve initial structural estimates of a molecule under study. The metho...
Energy minimization algorithms for biomolecular systems are critical to applications such as the pre...
A new robust iterative method for electronic structure calculations based on a convenient adaptation...
A new computational technique is described that uses distance constraints to calculate empirical pot...
Unconstrained optimization problems, such as energy minimization, can be solved using the conjugate ...
International audienceWe introduce a new class of methods, denoted as Truncated Conjugate Gradient (...
Computational experience with improved conjugate gradient methods for unconstrained minimizatio
We introduce a simple local atomic structure optimization algorithm which is significantly faster th...
This thesis presents a unified treatment of the concept of conjugate directions and in particular of...
We introduce a new class of methods, denoted as Truncated Conjugate Gradient(TCG), to solve the many...
Properties of minima obtained by two different local minimization algorithms, the conjugate gradient...
Abstract. For atomistic material models, global minimization gives the wrong qualitative behavior; a...
For atomistic material models, global minimization gives the wrong qualitative behavior; a theory of...
Abstract: Function optimization is a calculation that pervades much of numerical analysis. In the co...
There are several tools to improve initial structural estimates of a molecule under study. The metho...
There are several tools to improve initial structural estimates of a molecule under study. The metho...
Energy minimization algorithms for biomolecular systems are critical to applications such as the pre...
A new robust iterative method for electronic structure calculations based on a convenient adaptation...
A new computational technique is described that uses distance constraints to calculate empirical pot...
Unconstrained optimization problems, such as energy minimization, can be solved using the conjugate ...
International audienceWe introduce a new class of methods, denoted as Truncated Conjugate Gradient (...
Computational experience with improved conjugate gradient methods for unconstrained minimizatio
We introduce a simple local atomic structure optimization algorithm which is significantly faster th...
This thesis presents a unified treatment of the concept of conjugate directions and in particular of...
We introduce a new class of methods, denoted as Truncated Conjugate Gradient(TCG), to solve the many...
Properties of minima obtained by two different local minimization algorithms, the conjugate gradient...
Abstract. For atomistic material models, global minimization gives the wrong qualitative behavior; a...
For atomistic material models, global minimization gives the wrong qualitative behavior; a theory of...