Examples of using Computational complexity in English and their translations into Chinese
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Modern cryptography is largely related to computer science, for many encryption and decryption algorithms are based on their computational complexity.
The difficulty of calculating problems in the lattice, that is, the computational complexity of these problems, mainly including.
Neural Networks are a new era of machine learning algorithms and can be applied for many tasks, but their training needs huge computational complexity.
Modern cryptography is largely related to computer science, for a lot of encryption and decryption algorithms are primarily based on their computational complexity.
Proteome-wide screening is known as a difficult problem, mostly for its forbidding computational complexity, even with today's computers.
RP(complexity), randomized polynomial time, a class in computational complexity theory.
Numerical analysis also involves characterizing the convergence, accuracy, stability, and computational complexity of these methods.
In turn, imposing restrictions on the available resources is what distinguishes computational complexity from computability theory: the latter theory asks what kind of problems can, in principle, be solved algorithmically.
Her work focuses on examining the computational complexity needed to rig sports games, voting schemes, and other systems where competitors are placed in paired brackets.
In computational complexity theory, the 3SUM problem asks if a given set of real numbers contains three elements that sum to zero.
It is also possible to compute the decision boundary explicitly, and to do so efficiently, so that the computational complexity is a function of the boundary complexity. .
Generalized Go is played on n x n boards, and the computational complexity of determining the winner in a given position of generalized Go depends crucially on the ko rules.
For each category, we present we also present the advantages and limitations and discuss the computational complexity of the techniques in real application domains.
Computational Complexity: A Modern Approach.
Cook established fundamental concepts and limits of computational complexity.
His research focuses on computational complexity and its applications to economic theory.
And the decoding computational complexity is equivalent to twice of H. 263.
However, Hayek's argumentation is not only regarding computational complexity for the central planners.
For advancing computational complexity and cryptography, and for promoting public support for theoretical computer science.
This debate would notably lead economists, politicians and other parties to explore the question of computational complexity.