We study the complexity of various combinatorial and satisfiability problems when instances are specified using one of the following specifications: (1) the 1-dimensional finite periodic narrow specifications of Wanke and Ford et al. (2) the 1-dimensional finite periodic narrow specifications with explicit boundary conditions of Gale (3) the 2-way infinite1-dimensional narrow periodic specifications of Orlin et al. and (4) the hierarchical specifications of Lengauer et al. we obtain three general types of results. First, we prove that there is a polynomial time algorithm that given a 1-FPN- or 1-FPN(BC)specification of a graph (or a C N F formula) constructs a level-restricted L-specification of an isomorphic graph (or formula). This theore...
This dissertation presents several results in fine-grained complexity. Fine-grained complexity aims ...
While 3-SAT is NP-hard, 2-SAT is solvable in polynomial time. Austrin et al. [SICOMP’17] proved a re...
We define several new complexity classes of search problems, “between” the classes FP and FNP. These...
We study the complexity and the efficient approximability of graph and satisfiability problems when ...
The authors characterize the complexities of several basic generalized CNF satisfiability problems S...
We characterize the complexities of several basic generalized CNF satisfiability problems SAT(S), wh...
We study both the complexity and approximability of various graph and combinatorial problems specifi...
We extend the concept of polynomial time approximation algorithms to apply to problems for hier-arch...
The authors consider the two dimensional periodic specifications: a method to specify succinctly obj...
AbstractWe characterize the complexity of a number of basic optimization problems for unit disk grap...
Abstract In 1991, Papadimitriou and Yannakakis gave a reduction implying the NP-hardness of approxim...
For a fixed graph property Q, the complexity of the problem: Given a graph G, does G have property Q...
Schaefer proved in 1978 that the Boolean constraint satisfaction problem for a given constraint lang...
We study a generalization of the constraint satisfaction problem (CSP), the periodic constraint sati...
The exponential complexity of a parameterized problem P is the infimum of those c such that P can be...
This dissertation presents several results in fine-grained complexity. Fine-grained complexity aims ...
While 3-SAT is NP-hard, 2-SAT is solvable in polynomial time. Austrin et al. [SICOMP’17] proved a re...
We define several new complexity classes of search problems, “between” the classes FP and FNP. These...
We study the complexity and the efficient approximability of graph and satisfiability problems when ...
The authors characterize the complexities of several basic generalized CNF satisfiability problems S...
We characterize the complexities of several basic generalized CNF satisfiability problems SAT(S), wh...
We study both the complexity and approximability of various graph and combinatorial problems specifi...
We extend the concept of polynomial time approximation algorithms to apply to problems for hier-arch...
The authors consider the two dimensional periodic specifications: a method to specify succinctly obj...
AbstractWe characterize the complexity of a number of basic optimization problems for unit disk grap...
Abstract In 1991, Papadimitriou and Yannakakis gave a reduction implying the NP-hardness of approxim...
For a fixed graph property Q, the complexity of the problem: Given a graph G, does G have property Q...
Schaefer proved in 1978 that the Boolean constraint satisfaction problem for a given constraint lang...
We study a generalization of the constraint satisfaction problem (CSP), the periodic constraint sati...
The exponential complexity of a parameterized problem P is the infimum of those c such that P can be...
This dissertation presents several results in fine-grained complexity. Fine-grained complexity aims ...
While 3-SAT is NP-hard, 2-SAT is solvable in polynomial time. Austrin et al. [SICOMP’17] proved a re...
We define several new complexity classes of search problems, “between” the classes FP and FNP. These...