Examples of using Complexity theory in English and their translations into Serbian
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Arguably, computational complexity theory is a child of recursion theory; .
The set of all recursive functions is known as R in computational complexity theory.
And complexity theory, it turns out, can reveal a lot about how the ec….
The set of primitive recursive functions is known as PR in computational complexity theory.
In computability and complexity theory, ALL is the class of all decision problems.
Studying their abstract properties yields many insights into computer science and complexity theory.
And complexity theory, it turns out, can reveal a lot about how the world economy works.
These variations are not due to Church or Turing, butarise from later work in complexity theory and digital physics.
In computational complexity theory, Karp's 21 NP-complete problems are a set of computational problems which are NP-complete.
The following table shows some of the classes of problems(or languages, or grammars)that are considered in complexity theory.
The Blum axioms can be used to define an abstract computational complexity theory on the set of computable functions.
In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class.
Therefore, formal language theory is a major application area of computability theory and complexity theory.
Complexity theory considers not only whether a problem can be solved at all on a computer, but how efficiently the problem can be solved.
In computability theory and computational complexity theory, a reduction is an algorithm for transforming one problem into another problem.
These include non-linear systems(there are modules on the weather,modelling of biological systems, and complexity theory) and theoretical physics.
In computational complexity theory, the problem of determining the complexity of a computable function is known as a function problem.
Some emphasize the computation of specific results(such as computer graphics),while others relate to properties of computational problems(such as computational complexity theory).
In computational complexity theory, the Cook-Levin theorem, also known as Cook's theorem, states that the Boolean satisfiability problem is NP-complete.
Computer science has many sub-fields, some emphasise the computation of specific results(such as computer graphics),while others relate to properties of computational problems(such as computational complexity theory).
In computational complexity theory, R is the class of decision problems solvable by a Turing machine, which is the set of all recursive languages.
For transformative work that laid the complexity-theoretic foundations for the science of cryptography andin the process pioneered new methods for efficient verification of mathematical proofs in complexity theory.[40].
P(complexity) In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is one of the most fundamental complexity classes.
In complexity theory it was the first problem proved to be NP-complete, and can appear in a broad variety of applications such as model checking, automated planning and scheduling, and diagnosis in artificial intelligence.
Polynomial-time reductions are frequently used in complexity theory for defining both complexity classes and complete problems for those classes.
In computational complexity theory, DSPACE or SPACE is the computational resource describing the resource of memory space for a deterministic Turing machine.
It serves as the foundation of the Minimum Description Length(MDL) principle,can simplify proofs in computational complexity theory, has been used to define a universal similarity metric between objects, solves the Maxwell demon problem, and many others.
In computational complexity theory, polynomial time refers to the computation time of a problem where the time, m(n), is no greater than a polynomial function of the problem size, n….
It serves as the foundation of the Minimum Description Length(MDL) principle,can simplify proofs in computational complexity theory, has been used to define a universal similarity metric between objects, solves the Maxwell daemon problem, and many others.
In computational complexity theory, Savitch's theorem, proved by Walter Savitch in 1970, gives a relationship between deterministic and non-deterministic space complexity. .