The connection machine
Towards a new architecture for symbolic processing
AIICSR'94 Proceedings of the sixth international conference on Artificial intelligence and information-control systems of robots
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Networks of Parallel Language Processors
New Trends in Formal Languages - Control, Cooperation, and Combinatorics (to Jürgen Dassow on the occasion of his 50th birthday)
Solving NP-Complete Problems With Networks of Evolutionary Processors
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
On the size complexity of hybrid networks of evolutionary processors
Theoretical Computer Science - Descriptional complexity of formal systems
Hierarchies of memory limited computations
FOCS '65 Proceedings of the 6th Annual Symposium on Switching Circuit Theory and Logical Design (SWCT 1965)
Hybrid networks of evolutionary processors
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Solving 3CNF-SAT and HPP in linear time using WWW
MCU'04 Proceedings of the 4th international conference on Machines, Computations, and Universality
Accepting networks of splicing processors: Complexity results
Theoretical Computer Science
Accepting Networks of Genetic Processors are computationally complete
Theoretical Computer Science
Hi-index | 0.00 |
We present linear time solutions to two NP-complete problems, namely SAT and the directed Hamiltonian Path Problem (HPP), based on accepting networks of splicing processors (ANSP) having all resources (size, number of rules and symbols) linearly bounded by the size of the given instance. The underlying structure of these ANSPs does not depend on the number of clauses, in the case of SAT, and the number of edges, in the case of HPP. Furthermore, the running time of the ANSP solving HPP does not depend on the number of edges of the given graph and this network provides all solutions, if any, of the given instance of HPP.