Examples of using Analysis of algorithms in English and their translations into Ukrainian
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Probabilistic Analysis of Algorithms:.
The citation for the award states that it was:For fundamental achievements in the design and analysis of algorithms and data structures.
Probabilistic Analysis of algorithms.
In theoretical analysis of algorithms it is common to estimate their complexity in the asymptotic sense, i.e., to estimate the complexity function for arbitrarily large input.
This is called analysis of algorithms.
And I also was asked to speak at a mathematical… International Mathematical Conference in… in 1970 in… in France,and my title there was Mathematical Analysis of Algorithms.
I decided to call it analysis of algorithms.
The term"analysis of algorithms" was coined by Donald Knuth.
Robert Tarjan For fundamental achievements in the design and analysis of algorithms and data structures.
Why I chose analysis of algorithms as a subject.
With Robert E Tarjan, for fundamental achievements in the design and analysis of algorithms and data structures.
Lane.: in the analysis of algorithms, the logarithm of base 2 is used by default.
John Hopcroft and Robert Tarjan For fundamental achievements in the design and analysis of algorithms and data structures.
The module“Design and Analysis of Algorithms” focuses on modern methods to solve these optimization models.
And… and I'm glad to say that after… after 10 years or so… I mean in the late'70s, it started to show upas a… as a category in the… in the reviewing journals and there were books coming out called Analysis of Algorithms.
Graphs of functions commonly used in the analysis of algorithms, showing the number of operations N versus input size n for each function.
Sergey is a well-known researcher in machine learning(Deep learning, Bayesian methods, natural language processing,and much more) and analysis of algorithmsalgorithms for networking, competitive analysis, .
Analysis of algorithms is the determination of the computational complexity of algorithms, that is the amount of time, storage and/or other resources necessary to execute them.
Sergey is a researcher in the field of machine learning(deep learning, Bayesian methods,natural language processing and more) and analysis of algorithms(network algorithms, competitive analysis). .
Stein's research interests include the design and analysis of algorithms, combinatorial optimization, operations research, network algorithms, scheduling, algorithm engineering and computational biology.
For example, when extending the definition of abstract variable to include abstract records, the operation that selects a field from a record variable R must yield a variable V that is aliased to that part of R. The definition of an abstract variable V may also restrict the stored values x to members of a specific set X, called the range or type of V. As in programming languages,such restrictions may simplify the description and analysis of algorithms, and improve their readability.
Analysis of algorithms typically focuses on the asymptotic performance, particularly at the elementary level, but in practical applications constant factors are important, and real-world data is in practice always limited in size.
The binary logarithm also frequently appears in the analysis of algorithms, not only because of the frequent use of binary number arithmetic in algorithms, but also because binary logarithms occur in the analysis of algorithms based on two-way branching.
For his major contributions to the analysis of algorithms and the design of programming languages, and in particular for his contributions to the"art of computer programming" through his well-known books in a continuous series by this title.
He was one of the pioneers in amortized analysis of algorithms, early examples of which were the analyses of the move-to-front heuristic,[3] and splay trees.[4] He invented many data structures with Robert Tarjan, such as splay trees, link/cut trees, and skew heaps.
Analysis of PRAM algorithms Flynn's taxonomy Lock-free and wait-freealgorithms Random-access machine Parallel programming model XMTC.
An analysis of sorting algorithms are well and thoroughly studied, More than any other section of Computational Mathematics.
Analysis of parallel algorithms is usually carried out under the assumption that an unbounded number of processors is available.