Examples of using Efficient algorithms in English and their translations into Serbian
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See find first set for efficient algorithms to compute these values.
Every field of science has its own problems and needs efficient algorithms.
Efficient algorithms for computing the transitive closure of a graph can be found in Nuutila(1995).
Cobham invented the class as a robust way of characterizing efficient algorithms, leading to Cobham's thesis.
His MSCS program at MUM has been a big help in allowing Zheng to rethink the best practices for designing the architecture of game engines with efficient algorithms.
Sorting is a common operation in many applications, and efficient algorithms to perform it have been developed.
However, efficient algorithms are known for finding a set of at most⌊ n/ 3⌋{\displaystyle\left\lfloor n/3\right\rfloor} vertex guards, matching Chvátal's upper bound.
They are also key building blocks for many efficient algorithms, such as topological sort and set union-find.
This course presents methods for analyzing the efficiency of algorithms(including worst-case and average-case analysis) andintroduces a variety of known, highly efficient algorithms.
Characterizations of optimal solutions and efficient algorithms for optimization problems over discrete structures.
Therefore, a large part of the work of the researchers in the field consisted in revisiting classical algebra in order tomake it effective and to discover efficient algorithms to implement this effectiveness.
And then the cipher itself is a pair of efficient algorithms E and D. E is the encryption algorithm; D is the decryption algorithm. .
Reviews the features of the C++ programming language, anddescribes how to create efficient algorithms that can quickly process large data sets.
There are also efficient algorithms to dynamically track the connected components of a graph as vertices and edges are added, as a straightforward application of disjoint-set data structures.
For most problems,average-case complexity analysis is undertaken to find efficient algorithms for a problem that is considered difficult in the worst-case.
Integral representations of special functions will enable constructions of fast and efficient algorithms for calculating special functions and integral transformations. Keywords: approximation of operators; interpolation; orthogonality; quadratures; differential equations Project description Approximations of functions, functionals and operators are the main part of the Approximation Theory and a basis for the development of numerical and symbolic methods.
One of the promises of deep learning is replacing handcrafted features with efficient algorithms for unsupervised or semi-supervised feature learning and hierarchical feature extraction.[10].
Computational systems biology aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems.
Published in 1979,it describes an efficient algorithm for pancake sorting.
OPUS is an efficient algorithm for rule discovery that, in contrast to most alternatives, does not require either monotone or anti-monotone constraints such as minimum support.
Rodrigues' rotation formula, named after Olinde Rodrigues, is an efficient algorithm for rotating a Euclidean vector, given a rotation axis and an angle of rotation.
An efficient algorithm for NP-complete problems is generally characterized as one which runs in polynomial time for all inputs; this is equivalent to requiring efficient worst-case complexity.
Duval(1983) proposed an efficient algorithm involving the factorization of the string into its component Lyndon words, which runs in linear time with a constant memory requirement.
It turns out that, given a set of constraintsdefining a particular problem, deriving an efficient algorithm to solve it is a very difficult problem in itself.
As such, it is unlikely that there exists an efficient algorithm for finding a maximum independent set of a graph.
In other words, suppose you give me an efficient algorithm, such that, in fact, if I give this algorithm the output of the generator, but I give it only the first I-bits of the outputs. It's able to predict the next bit of the output.
For example, the results related to the clique problem have the following corollaries:The independent set decision problem is NP-complete, and hence it is not believed that there is an efficient algorithm for solving it.
A polynomial-time reduction proves that the first problem is no more difficult than the second one,because whenever an efficient algorithm exists for the second problem, one exists for the first problem as well.
Note that it is not desirable for the candidate function to be NP-complete since this would only guarantee that there is likely no efficient algorithm for solving the problem in the worst case; what we actually want is a guarantee that no efficient algorithm can solve the problem over random inputs(i.e. the average case).