作者: Roummel F. Marcia , Julie C. Mitchell , J. Ben Rosen
DOI: 10.1007/S10589-005-4799-4
关键词: Regular polygon 、 Potential energy 、 Applied mathematics 、 Mathematics 、 Macromolecular docking 、 Maxima and minima 、 Mathematical optimization 、 Global optimization 、 Iterated function 、 Funnel 、 Quadratic equation
摘要: An algorithm for finding an approximate global minimum of a funnel shaped function with many local minima is described. It applied to compute the energy docking position ligand respect protein molecule. The method based on iterative use convex, general quadratic approximation that underestimates set minima, where error in minimized L1 norm. used generate reduced domain, which assumed contain function. Additional are computed this and improved computed. This process iterated until convergence tolerance satisfied. has been find generated by Docking Mesh Evaluator program. Results three different examples presented. Each these functions thousands minima. Convergence shown all examples.