Two practical considerations concerning the use of computing machinery are the amount of information that must be given to the machine for it to perform a given task and the time it takes the machine to perform it. The size of programs and their running time are studied for mathematical models of computing machines. The study of the amount of information (i.e., number of bits) in a computer program needed for it to put out a given finite binary sequence leads to a definition of a random sequence; the random sequences of a given length are those that require the longest programs. The study of the running time of programs for computing infinite sets of natural numbers leads to an arithmetic of computers, which is a distributive lattice
The study of Computational Complexity began with the investigation of Turing machine computations wi...
The purpose of a model of computation is to provide the algorithm designer with a device for running...
Recent studies of computational complexity have focused on “axioms” which characterize the “difficul...
In this thesis we examine some of the central problems in the theory of computational complexity, l...
In this paper we explore the computational complexity measure defined by running times of programs o...
In this paper we use arguments about the size of the computed functions to investigate the computati...
We consider random access machines with a multiplication operation, having the added capability of c...
The field of computational complexity theory--which chiefly aims to quantify the difficulty encounte...
The field of computational complexity theory--which chiefly aims to quantify the difficulty encounte...
In this paper, the methods of recursive function theory are used to study the size (or cost or compl...
It is currently not possible to quantify the resources needed to perform a computation. As a consequ...
Computer science is based on classical, discreet models of computation such as the Turing machine or...
Abstr¡ct. wc prove optimal lower bounds on the computation time for several well-known test problems...
International audienceWe start by an introduction to the basic concepts of computability theory and ...
The relative power of several computational models is considered. These models are the Turing machin...
The study of Computational Complexity began with the investigation of Turing machine computations wi...
The purpose of a model of computation is to provide the algorithm designer with a device for running...
Recent studies of computational complexity have focused on “axioms” which characterize the “difficul...
In this thesis we examine some of the central problems in the theory of computational complexity, l...
In this paper we explore the computational complexity measure defined by running times of programs o...
In this paper we use arguments about the size of the computed functions to investigate the computati...
We consider random access machines with a multiplication operation, having the added capability of c...
The field of computational complexity theory--which chiefly aims to quantify the difficulty encounte...
The field of computational complexity theory--which chiefly aims to quantify the difficulty encounte...
In this paper, the methods of recursive function theory are used to study the size (or cost or compl...
It is currently not possible to quantify the resources needed to perform a computation. As a consequ...
Computer science is based on classical, discreet models of computation such as the Turing machine or...
Abstr¡ct. wc prove optimal lower bounds on the computation time for several well-known test problems...
International audienceWe start by an introduction to the basic concepts of computability theory and ...
The relative power of several computational models is considered. These models are the Turing machin...
The study of Computational Complexity began with the investigation of Turing machine computations wi...
The purpose of a model of computation is to provide the algorithm designer with a device for running...
Recent studies of computational complexity have focused on “axioms” which characterize the “difficul...