Examples of using Complexity theory in English and their translations into Vietnamese
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CMPT 710- Complexity Theory: Lecture 16".
For decades,the graph isomorphism problem has held a special status within complexity theory.
In computational complexity theory, co-NP is a complexity class.
He is also known for his running time analysis of the Euclidean algorithm,marking the beginning of computational complexity theory.
And complexity theory, it turns out, can reveal a lot about how the economy works.
Their ideas have come to be called Kolmogorov Complexity Theory or Algorithmic Information Theory. .
What Kolmogorov complexity theory teaches is that, at the deepest level, there is no sure way to determine the best pattern.
For his contributions to the foundations of computational complexity theory and its application to cryptography and program checking.
Since complexity theory is interested in classifying problems based on their difficulty, one defines sets of problems based on some criteria.
However, there are certain common themes about Kolmogorov complexity theory that we might take with us when thinking about the real world.
Since Turing machines are easy to analyze mathematically, and are believed to be as powerful as any other model of computation,the Turing machine is the most commonly used model in complexity theory.
In computational complexity theory, a problem is related to the abstract question to be solved.
In recognition of his contributions to the foundations of computational complexity theory and its application to cryptography and program checking.
The second blow was the collapse of the theoretical edifice that propped up the old King and its replacement by a newedifice based on a combination of evolutionary theory and complexity theory.
One of the roles of computational complexity theory is to determine the practical limits of what can and can not do.
Complexity Theory has become a broad platform for the investigation of complex interdisciplinary situations and helps understand the social behaviours of teams and the networks of people involved in and around a project.
Dennis is the author of numerous articles on complexity theory, social technologies, new media communications, and conscious evolution.
In computational complexity theory, NL(Nondeterministic Logarithmic-space) is the complexity class containing decision problems which can be solved by a nondeterministic Turing machine using a logarithmic amount of memory space.
Massachusetts Institute of Technology: 6.841/18.405J Advanced Complexity Theory: Lecture 6: Randomized Algorithms, Properties of BPP.
In computational complexity theory, BQP(bounded error quantum polynomial time) is the class of decision problems solvable by a quantum computer in polynomial time, with an error probability of at most 1/3 for all instances.
He is the author of several books and numerous articles on complexity theory, social technologies, new media communications, and conscious evolution.
Computational complexity theory is a branch of the theory of computation in theoretical computer science and mathematics that focuses on classifying computational problems according to their inherent difficulty.
In computer science,and more specifically 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.
This program stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology.
One of the roles of computational complexity theory is to determine the practical limits on what computers can and cannot do.
More precisely, computational complexity theory tries to classify problems that can not be solved with appropriately restricted resources.
Some fields, such as computational complexity theory, are highly abstract, while fields such as computer graphics emphasize real-world visual applications.