technical reportThis thesis explores a new strategy for addressing the local minimum problem. As a prerequisite, a smooth potential function with a well-defined analytical gradient is devised. The availability of exact derivatives permits the use of more sophisticated optimization methods than those typically employed by potential planners. Through minor modifications to a trust-region Quasi-Newton algorithm, a procedure is obtained for locating saddle points as well as local minima
Saddle-points and mountain-pass points of energy surfaces have many applications in areas that range...
Abstract: "We describe a heuristic search algorithm for generating optimal plans in a new class of d...
Complex nonlinear optimal control problems can have more than a single local solution due to the lac...
Abstract—This work proposes a motion planning method based on the construction of a roadmap connecti...
This work proposes a motion planning method based on the construction of a roadmap connecting the cr...
AbstractThe purpose of this paper is twofold. The first is to remove a possible ill-posedness relate...
ABSTRACT. The problem of computing saddle points is important in certain problems in numer-ical part...
This paper revisits the ideas of seeking unconstrained minima by following a continuous steepest des...
[[abstract]]The authors propose a systematic method to find several local minima for general nonline...
In present-day optical system design, it is tacitly assumed that local minima are points in the meri...
We show that in the lens design landscape saddle points exist that are closely related to local mini...
An improved potential-based method for robot path planning is developed by connecting all the local ...
Potential functions are used to represent the topological structure of free space in solving path pl...
. An interior path-following algorithm is proposed for solving the nonlinear saddle point problem mi...
. We describe an algorithm for optimization of a smooth function subject to general linear constrain...
Saddle-points and mountain-pass points of energy surfaces have many applications in areas that range...
Abstract: "We describe a heuristic search algorithm for generating optimal plans in a new class of d...
Complex nonlinear optimal control problems can have more than a single local solution due to the lac...
Abstract—This work proposes a motion planning method based on the construction of a roadmap connecti...
This work proposes a motion planning method based on the construction of a roadmap connecting the cr...
AbstractThe purpose of this paper is twofold. The first is to remove a possible ill-posedness relate...
ABSTRACT. The problem of computing saddle points is important in certain problems in numer-ical part...
This paper revisits the ideas of seeking unconstrained minima by following a continuous steepest des...
[[abstract]]The authors propose a systematic method to find several local minima for general nonline...
In present-day optical system design, it is tacitly assumed that local minima are points in the meri...
We show that in the lens design landscape saddle points exist that are closely related to local mini...
An improved potential-based method for robot path planning is developed by connecting all the local ...
Potential functions are used to represent the topological structure of free space in solving path pl...
. An interior path-following algorithm is proposed for solving the nonlinear saddle point problem mi...
. We describe an algorithm for optimization of a smooth function subject to general linear constrain...
Saddle-points and mountain-pass points of energy surfaces have many applications in areas that range...
Abstract: "We describe a heuristic search algorithm for generating optimal plans in a new class of d...
Complex nonlinear optimal control problems can have more than a single local solution due to the lac...