Examples of using Computational complexity in English and their translations into Vietnamese
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Calculators are programmed based on computational complexity, growing over time.
In computational complexity theory, a problem is related to the abstract question to be solved.
The fields of feasible computability and computational complexity study functions that can be computed efficiently.
The evaluation of MDL-based inferential procedures often uses techniques orcriteria from computational complexity theory.[48].
MPEG-4 AVC High profile and computational complexity ranging from 1/2 to 3 times that of the High profile.
He is also known for his running time analysis of the Euclidean algorithm,marking the beginning of computational complexity theory.
It is used for measuring the computational complexity of an algorithm or of the problem for which it is designed.
Whether SETH is true or false, what matters is the ability to use it as atool to map what Williams calls the topography of computational complexity.
The lower bound for the computational complexity of multiplication has been a focus since the first computer appeared.
To develop tools that can truly make a difference in emergency situations, therefore,researchers should identify ways of reducing the solving time and computational complexity of optimisation problems.
As the number of participants increases computational complexity, respectively, solutions are found through a long period of time.
Poole offers the possibility of production of this coin, however, the processor or graphics card does not provide performance computing,sufficient for a serious income at current computational complexity.
One of the roles of computational complexity theory is to determine the practical limits of what can and can not do.
Advanced techniques such as Reed-Solomon codes and, more recently, Turbo codes come much closer to reaching the theoretical Shannon limit,but at a cost of high computational complexity.
In recognition of his contributions to the foundations of computational complexity theory and its application to cryptography and program checking.
The computational complexity can not talk about adequate profitability when working with low productivity equipment, such as a home PC.
In 1995 ACMawarded Manuel Blum for his contributions to the foundations of computational complexity theory and its application to cryptography and program checking.
One of the roles of computational complexity theory is to determine the practical limits on what computers can and cannot do.
Daskalakis was honored by the IMU for“transforming our understanding of the computational complexity of fundamental problems in markets, auctions, equilibria, and other economic structures.”.
More precisely, computational complexity theory tries to classify problems that can not be solved with appropriately restricted resources.
In addition, the computational cost and computational complexity for many-body problems(and their classical counterparts) tend to grow quickly.
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.
Some fields, such as computational complexity theory, are highly abstract, while fields such as computer graphics emphasize real-world visual applications.
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 established that the computational complexity of the districting problem is NP-hard and hence optimal redistricting is likely to be intractable.
In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it.
According to Ryan Williams, a computational complexity theorist at Stanford University, an imprecise understanding of theoretical concepts like SETH may have real-world consequences.