EOR
2010
13 years 5 months ago
2010
A significant input-data uncertainty is often present in practical situations. One approach to coping with this uncertainty is to describe the uncertainty with scenarios. A scenar...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Smale's -theory uses estimates related to the convergence of Newton's method to give criteria implying that Newton iterations will converge quadratically to solutions to ...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We define the concept of an internal symmetry. This is a symmety within a solution of a constraint satisfaction problem. We compare this to solution symmetry, which is a mapping b...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Iterated regret minimization has been introduced recently by J.Y. Halpern and R. Pass in classical strategic games. For many games of interest, this new solution concept provides s...
COR
2010
13 years 5 months ago
2010
In many real-life optimisation problems, there are multiple interacting components in a solution. For example, different components might specify assignments to different kinds of...
APPML
2007
13 years 5 months ago
2007
There are two simple solutions to reaction-diffusion systems with limit-cycle reaction kinetics, producing oscillatory behaviour. The reaction parameter µ gives rise to a ‘spa...
AMC
2007
13 years 5 months ago
2007
Many scientific and engineering applications require optimization methods to find more than one solution to multimodal optimization problems. This paper presents a new particle ...
IJCAI
1989
13 years 6 months ago
1989
This paper describes a program, called NEWTON, that finds approximate symbolic solutions to parameterized equations in one variable. N E W T O N derives an initial approximation b...
KIC
2000
13 years 6 months ago
2000
Designers, in the process of satisfying design requirements, generally encounter difficulties in, firstly, understanding the problem and secondly, finding a solution [Cross 1998]....
AAAI
1998
13 years 6 months ago
1998
We describe a general approach to optimization which we term Squeaky Wheel" Optimization SWO. In SWO, a greedy algorithm is used to construct a solution which is then analyze...