This paper discusses a generalization of the function transformation scheme for global energy minimization applied to the molecular conformation problem. A mathematical theory for the method as a special continuation approach to global optimization is established. We show that the method can transform a nonlinear objective function into a class of gradually deformed, but {open_quote}smoother{close_quote} or {open_quotes}easier{close_quote} functions. An optimization procedure can then be applied to the new functions successively, to trace their solutions back to the original function. Two types of transformation are defined: isotropic and anisotropic. We show that both transformations can be applied to a large class of nonlinear partially s...
AbstractDifferent components of the theoretical protein folding problem are evaluated critically. It...
The search for low energy states of molecular clusters is associated with the study of molecular c...
Energy minimization algorithms for biomolecular systems are critical to applications such as the pre...
This paper discusses a generalization of the special function transformation scheme for global minim...
This paper presents our recent work on developing parallel algorithms and software for solving the g...
Abstract. This paper presents our recent work on developing parallel algorithms and software for sol...
Abstract: Function optimization is a calculation that pervades much of numerical analysis. In the co...
Many practical applications can be formulated as global optimization problems. In this work the glob...
A primal-relaxed dual global optimization algorithm is presented along with an extensive review for ...
Abstract. A deterministic global optimization algorithm is proposed for locating the globalminimumpo...
The determinationof molecular conformations, based on energy minimization, has to overcome the prese...
UC-411 An important area of research in computational biochemistry is the design of molecules for sp...
We discuss the formulation of optimization problems that arise in the study of distance geometry, io...
We consider the problem to obtain the optimal conformation of a given molecular cluster with the low...
A global optimization approach is proposed for finding the global minimum energy configuration of a ...
AbstractDifferent components of the theoretical protein folding problem are evaluated critically. It...
The search for low energy states of molecular clusters is associated with the study of molecular c...
Energy minimization algorithms for biomolecular systems are critical to applications such as the pre...
This paper discusses a generalization of the special function transformation scheme for global minim...
This paper presents our recent work on developing parallel algorithms and software for solving the g...
Abstract. This paper presents our recent work on developing parallel algorithms and software for sol...
Abstract: Function optimization is a calculation that pervades much of numerical analysis. In the co...
Many practical applications can be formulated as global optimization problems. In this work the glob...
A primal-relaxed dual global optimization algorithm is presented along with an extensive review for ...
Abstract. A deterministic global optimization algorithm is proposed for locating the globalminimumpo...
The determinationof molecular conformations, based on energy minimization, has to overcome the prese...
UC-411 An important area of research in computational biochemistry is the design of molecules for sp...
We discuss the formulation of optimization problems that arise in the study of distance geometry, io...
We consider the problem to obtain the optimal conformation of a given molecular cluster with the low...
A global optimization approach is proposed for finding the global minimum energy configuration of a ...
AbstractDifferent components of the theoretical protein folding problem are evaluated critically. It...
The search for low energy states of molecular clusters is associated with the study of molecular c...
Energy minimization algorithms for biomolecular systems are critical to applications such as the pre...