Примери коришћења Dynamic programming на Енглеском и њихови преводи на Српски
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Popular dynamic programming languages include JavaScript,
although dynamic typing need not be related to dynamic programming languages.
then it can be solved in polynomial time using dynamic programming.
For example, in statistical parsing a dynamic programming algorithm can be used to discover the single most likely context-free derivation(parse)
A similar dynamic programming technique shows that the longest path problem is also fixed-parameter tractable when parameterized by the treewidth of the graph.
either through heuristics or through dynamic programming.
For example, in dynamic programming a variety of successive approximation methods[6][7]
A classic dynamic programming strategy works upward by finding the combinations of all smaller values that would sum to the current threshold.
A greedy algorithm is similar to a dynamic programming algorithm, but the difference is that solutions to the subproblems do not have to be known at each stage.
the longest path can also be solved by a polynomial time dynamic programming algorithm.
then there are dynamic programming algorithms that can solve it exactly.
including square root algorithms and dynamic programming optimization.
is a dynamic programming algorithm that finds the optimal sequence alignment between two strings.
A direct method for producing an MSA uses the dynamic programming technique to identify the globally optimal alignment solution.
For example, dynamic programming was originally invented for optimisation of resource consumption in industry,
After every stage, dynamic programming makes decisions based on all the decisions made in the previous stage,
A general method of calculating probable RNA secondary structure is dynamic programming, although this has the disadvantage that it cannot detect pseudoknots
it typically becomes the method of choice because it is faster than other optimization methods like dynamic programming.
The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states-called the Viterbi path-that results in a sequence of observed events,
It is also possible to apply the same dynamic programming technique to minimize more complex cost functions that combine other factors such as the number of lines or costs for hyphenating long words.