Examples of using Computational complexity in English and their translations into Bulgarian
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Computational complexity of evolutionary stable strategies.
The geometrical construct of that game has applications in Computational Complexity Theory.
Computational complexity of Monte Carlo algorithms for multidimensional integrals and integral equations.
Calculators are programmed based on computational complexity, growing over time.
Computational complexity(worst, average and best behavior) in terms of the size of the list(n).
As the number of participants increases computational complexity, respectively, solutions are found through a long period of time.
Computational complexity(worst, average and best behavior) of element comparisons in terms of the size of the list(n).
HEVC has been designed with the aim of reducing the bitrate in video while maintaining the same quality at the cost of greater computational complexity.
The computational complexity can not talk about adequate profitability when working with low productivity equipment, such as a home PC.
Modern cryptography is largely related to computer science, for many encryption anddecryption algorithms are based on their computational complexity.
The computational complexity for this class of problems is estimated by the time and space(computer memory) required to solve a given problem instance.
Modern cryptography is largely related to computer science, for a lot of encryption anddecryption algorithms are primarily based on their computational complexity.
Blokcheyn Bitcoins arranged such that computational complexity is regulated amount miners to always observe the time unit finding regulated to 10 minutes.
Combinatorial optimization is a subset of mathematical optimization that isrelated to operations research, algorithm theory, and computational complexity theory.
Sorting algorithms are often classified by: Computational complexity(worst, average and best behavior) in terms of the size of the list(n).
The irony is that artificial intelligence systems are much simpler than the human brain,which allows AI to handle much more computational complexity than we can.
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.
Some emphasize the computation of specific results(such as computer graphics),while others(such as computational complexity theory) relate to properties of computational problems.
Some fields such as computational complexity theory which explores the fundamental properties of computational problems are highly abstract, whilst fields such as computer graphics emphasise real-world applications.
The fact that artificial intelligence systems are so much simpler than the human brain is, ironically,what enables AIs to deal with far greater computational complexity than we can.
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.
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.
Computational complexity is central to computational geometry, with great practical significance if algorithms are used on very large datasets containing tens or hundreds of millions of points.
If you apply Moore's Law to just the last few years' rate of computational complexity and work backward, you will get back to the 1960s, when the first microchip was, indeed, invented.
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).
Topics of study that PhD in Logic candidates will experience are philosophy of mathematics,mathematical theories, computational complexity, philosophical logic, logic in computer science, and history of logic.
Some, such as computational complexity theory, which studies fundamental properties of computational problems, are highly abstract, while others, such as computer graphics, emphasize real-world applications.
Until the present day(2011), Karatsuba's result on the length of experiments is the only exact nonlinear result, both in automata theory, andin similar problems of computational complexity theory.
Some, such as computational complexity theory, which studies fundamental properties of computational problems, are highly abstract, while others, such as computer graphics, emphasize real-world applications.
Since then the emphasis has shifted, and cryptography now makes extensive use of mathematics,including aspects of information theory, computational complexity, statistics, combinatorics, abstract algebra, and number theory.