[[abstract]]The hardness of an instance of the Post’s correspondences problem (abbreviated to PCP) was defined in the past based on its solutions’ lengths. That is, the longer the lengths of the solutions are, the harder the instance becomes. But this cannot reflect the real characteristic of the hard instances. In this thesis, we present a new definition of the hardness for the PCP where the solving time divided by the number of solutions is defined as the index of the hardness of a PCP instance. This thesis is composed of two major parts. Firstly, starting from the PCP instances with smaller sizes and widths, we use a "PCP genes restructuring" algorithm to generate lots of PCP instances with larger sizes and widths. To filter th...
Recently, edge matching puzzles, an NP-complete problem, have rececived, thanks to money-prized cont...
This electronic version was submitted by the student author. The certified thesis is available in th...
So far we have been mostly talking about designing approximation algorithms and proving upper bounds...
Since we have few techniques for proving strong lowerbounds on Turing machine computations, an inter...
On Computer Science research, traditionally, most efforts have been devoted to research hardness for...
L'étude expérimentale d'algorithmes est un sujet crucial dans la conception de nouveaux algorithmes,...
We show that there exist properties that are maximally hard for testing, while still admitting PCPPs...
Abstract. Post’s correspondence problem (PCP) is a classic undecidable problem. Its theoretical unbo...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
We show that for several natural problems of interest, complexity lower bounds that are barely non-t...
The empirical study of algorithms is a crucial topic in the design of new algorithms because the con...
Many studies have been conducted on the complexity of Constraint Satisfaction Problem (CSP) classes....
A decade ago, a beautiful paper by Wagner [Wag87] developed a "toolkit" that in certain ca...
This article continues the development of hardness magnification, an emerging area that proposes a n...
Hardness magnification reduces major complexity separations (such as EXP ⊈ NC^1) to proving lower bo...
Recently, edge matching puzzles, an NP-complete problem, have rececived, thanks to money-prized cont...
This electronic version was submitted by the student author. The certified thesis is available in th...
So far we have been mostly talking about designing approximation algorithms and proving upper bounds...
Since we have few techniques for proving strong lowerbounds on Turing machine computations, an inter...
On Computer Science research, traditionally, most efforts have been devoted to research hardness for...
L'étude expérimentale d'algorithmes est un sujet crucial dans la conception de nouveaux algorithmes,...
We show that there exist properties that are maximally hard for testing, while still admitting PCPPs...
Abstract. Post’s correspondence problem (PCP) is a classic undecidable problem. Its theoretical unbo...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
We show that for several natural problems of interest, complexity lower bounds that are barely non-t...
The empirical study of algorithms is a crucial topic in the design of new algorithms because the con...
Many studies have been conducted on the complexity of Constraint Satisfaction Problem (CSP) classes....
A decade ago, a beautiful paper by Wagner [Wag87] developed a "toolkit" that in certain ca...
This article continues the development of hardness magnification, an emerging area that proposes a n...
Hardness magnification reduces major complexity separations (such as EXP ⊈ NC^1) to proving lower bo...
Recently, edge matching puzzles, an NP-complete problem, have rececived, thanks to money-prized cont...
This electronic version was submitted by the student author. The certified thesis is available in th...
So far we have been mostly talking about designing approximation algorithms and proving upper bounds...