Examples of using Computational complexity theory in English and their translations into Indonesian
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
-
Ecclesiastic
In computational complexity theory, a problem refers to the abstract question to be solved.
This was proven by Gabriel Lamé in 1844,and marks the beginning of computational complexity theory.
This includes computability theory, computational complexity theory, and information theory. .
In computational complexity theory, the 3SUM problem asks if a given set of real numbers contains three elements that sum to zero.
This includes computability theory, computational complexity theory, and information theory. .
Some emphasize the computation of specific results(such as computer graphics),while others focus on computational problems(such as computational complexity theory).
This includes computability theory, computational complexity theory, and information theory. .
Some of them emphasize the computation of specific results(such as computer graphics),while others relate to properties of computational problems(such as computational complexity theory).
One of the roles of computational complexity theory is to determine the practical limits on what computers can and cannot do.
Theoretical computer science includes computability theory, computational complexity theory, and information theory. .
In particular, computational complexity theory determines the practical limits on what computers can and cannot do.
Computer scientist known for his contributions to the foundations of computational complexity theory and its application to cryptography and program checking.
Manuel Blum(computational complexity theory, its application to cryptography and program checking).
Manuel Blum In recognition of his contributions to the foundations of computational complexity theory and its application to cryptography and program checking.
Some fields, such as computational complexity theory, are highly abstract, while fields such as computer graphics emphasize real-world visual applications.
Computer science has many subfields; such as computer graphics, emphasize the computation of specific results,while others, such as computational complexity theory, study the properties of computational problems.
The second question is addressed by computational complexity theory, which studies the time and space costs associated with different approaches to solving a computational problem.
When computers were first conceived, several essential theoretical concepts were shaped by mathematicians,leading to the fields of computability theory, computational complexity theory, information theory and algorithmic information theory. .
For his contributions to the foundations of computational complexity theory and its application to cryptography and program checking.
Some fields, such as computational complexity theory(which explores the fundamental properties of computational.) are highly abstract, while fields such as computer graphics emphasize real-world visual applications.
In recognition of his contributions to the foundations of computational complexity theory and its application to cryptography and program checking.
A key distinction between computational complexity theory and analysis of algorithms is that the former is devoted to analyzing the amount of resources needed by a particular algorithm to solve a problem, whereas the latter asks a more general question about all possible algorithms that could be used to solve the same problem.
The field is divided into three major branches: automata theory and languages,computability theory, computational complexity theory, which are linked by the question:"What are the fundamental capabilities and limitations of computers?"?
Massachusetts Institute of Technologycomputer scientist Scott Aaronson argues that computational complexity theory will have a transformative effect on philosophical thinking about a broad spectrum of topics such as the challenge of artificial intelligence(AI).
Although computer scientists can also focus their work and research on specific areas(such as algorithm and data structure development and design, software engineering, information theory, database theory, computational complexity theory, numerical analysis, programming language theory, computer graphics, and computer vision), their foundation is the theoretical study of computing from which these other fields derive.
Nondeterministic machines have become a key concept in computational complexity theory, particularly with the description of the complexity classes P and NP.