AbstractSeveral classes of graph optimization problems, which can be solved using dynamic programming, are known to have more efficient tailor-made algorithms. This paper discusses four such classes and the underlying constraints on their subproblem interrelationships that yield these efficient algorithms. These classes are also extended to handle more general cost functions
Computing on graphical models is a eld of diverse interest today, due to the general applicability o...
Graph theory provides mathematical models with computational realizations for a wide range of proble...
We develop a formal model of enumeration problems and define dynamic programming in its setting. Dyn...
AbstractSeveral classes of graph optimization problems, which can be solved using dynamic programmin...
This work is about graph algorithms, their use and the benefit of the optimization method of dynamic...
Dynamic algorithms are used to efficiently maintain solutions to problems where the input undergoes ...
In this paper, we address a class of specially structured problems that include speed planning, for ...
INTRODUCTION Dynamic graph algorithms are algorithms that maintain properties of a (possibly edgewe...
Abstract. In this paper we introduce the concept of generalized d-graph (admitting cycles) as specia...
Among the mathematical methods used in economics, a prominent place is occupied by the dynamic progr...
© 2005 by Chapman & Hall/CRC Press. Graph theory offers a rich source of problems and techniques f...
There has been little work on how to construct greedy algorithms to solve new optimization problems ...
Graphs, Algorithms, and Optimization is a comprehensive book that features a clear explanation of mo...
AbstractWe propose a simple and effective heuristic to save memory in dynamic programming on tree de...
This dissertation studies optimization problems on graphs with overlapping variables: optimization p...
Computing on graphical models is a eld of diverse interest today, due to the general applicability o...
Graph theory provides mathematical models with computational realizations for a wide range of proble...
We develop a formal model of enumeration problems and define dynamic programming in its setting. Dyn...
AbstractSeveral classes of graph optimization problems, which can be solved using dynamic programmin...
This work is about graph algorithms, their use and the benefit of the optimization method of dynamic...
Dynamic algorithms are used to efficiently maintain solutions to problems where the input undergoes ...
In this paper, we address a class of specially structured problems that include speed planning, for ...
INTRODUCTION Dynamic graph algorithms are algorithms that maintain properties of a (possibly edgewe...
Abstract. In this paper we introduce the concept of generalized d-graph (admitting cycles) as specia...
Among the mathematical methods used in economics, a prominent place is occupied by the dynamic progr...
© 2005 by Chapman & Hall/CRC Press. Graph theory offers a rich source of problems and techniques f...
There has been little work on how to construct greedy algorithms to solve new optimization problems ...
Graphs, Algorithms, and Optimization is a comprehensive book that features a clear explanation of mo...
AbstractWe propose a simple and effective heuristic to save memory in dynamic programming on tree de...
This dissertation studies optimization problems on graphs with overlapping variables: optimization p...
Computing on graphical models is a eld of diverse interest today, due to the general applicability o...
Graph theory provides mathematical models with computational realizations for a wide range of proble...
We develop a formal model of enumeration problems and define dynamic programming in its setting. Dyn...