Examples of using Model of computation in English and their translations into Portuguese
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It is therefore a strictly more powerful model of computation.
For any model of computation there exist simple analogs of the busy beaver.
No such result has been proved in general for an arbitrary but"reasonable" model of computation.
This model of computation is thus strictly more powerful than finite state machines.
It states::"" A probabilistic Turing machine can efficiently simulate any realistic model of computation.
A model of computation is a formal description of a particular type of computational process.
It is remarkable since it is a characterization of the class NP that does not invoke a model of computation such as a Turing machine.
No stronger model of computation which is generally considered to be effectively calculable has been proposed.
They are used to discuss computability without referring to any concrete model of computation such as Turing machines or register machines.
It is a model of computation equivalent to a Turing machine, and therefore it can process the same class of formal languages.
One goal of computability theory is to determine which problems, or classes of problems,can be solved in each model of computation.
This is commonly accomplished by supplementing the model of computation with an additional primitive operation which asks whether a given integer is a member of"A.
In theoretical computer science and mathematics,the theory of computation is the branch that deals with how efficiently problems can be solved on a model of computation.
Computable functions are used to discuss computability without referring to any concrete model of computation such as Turing machines or register machines.
This is permitted because it is believed that all such uses of the thesis can be removed by the tedious process of writing a formal procedure for the function in some model of computation.
In computability theory and computational complexity theory, a model of computation is the definition of the set of allowable operations used in computation and their respective costs.
The following pseudocode illustrates a straightforward way to compute"g": Because"g" is partial computable, there must be a program"e" that computes"g",by the assumption that the model of computation is Turing-complete.
In this model of computation the basic arithmetic operations(addition, subtraction, multiplication, division, and comparison) take a unit time step to perform, regardless of the sizes of the operands.
The(Stream) X-Machine Testing Methodology is a complete functional testing approach to software- andhardware testing that exploits the scalability of the Stream X-Machine model of computation.
UPC uses a Single Program Multiple Data(SPMD) model of computation in which the amount of parallelism is fixed at program startup time, typically with a single thread of execution per processor.
This can be shown by describing the relationship between the input and output of a program, or an explanation of how the program will execute on a certain platform,hence creating a model of computation.
A security model may be founded upon a formal model of access rights, a model of computation, a model of distributed computing, or no particular theoretical grounding at all.
For example, the Physical Church-Turing thesis(PCTT)states:::"All physically computable functions are Turing-computable"The Church-Turing thesis says nothing about the efficiency with which one model of computation can simulate another.
Another reason for turning to C++, which Stepanov recognized early on, was the C/C++ model of computation that allows very flexible access to storage via pointers, which is crucial to achieving generality without losing efficiency.
In 1969 Howard observes that another, more"high-level" proof system, referred to as natural deduction,can be directly interpreted in its intuitionistic version as a typed variant of the model of computation known as lambda calculus.
The model of computation: The most common model of computation is the deterministic Turing machine, but many complexity classes are based on nondeterministic Turing machines, boolean circuits, quantum Turing machines, monotone circuits, etc.
The earliest variant, the continuous-time Analog X-Machine(AXM), was introduced by Mike Stannett in 1990 as a potentially"super-Turing" model of computation; it is consequently related to work in hypercomputation theory.
One at the level of formulas andtypes that is independent of which particular proof system or model of computation is considered, and one at the level of proofs and programs which, this time, is specific to the particular choice of proof system and model of computation considered.
Since Turing machines are easy to analyze mathematically, andare believed to be as powerful as any other model of computation, the Turing machine is the most commonly used model in complexity theory.
Different models of computation have the ability to do different tasks.