Examples of using Dynamic programming in English and their translations into Serbian
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Chapter 14: Dynamic Programming.
A better solution, which was proposed by Sellers,relies on dynamic programming.
It is called Dynamic Programming.
The dynamic programming solution is presented below.
Solve it using dynamic programming.
Dynamic programming as an efficient optimization for some backtracking algorithms;
This is called dynamic programming.
Popular dynamic programming languages include JavaScript, Python, Ruby, PHP, Lua and Perl.
This is known as Dynamic Programming.
Matrix chain multiplication- is an optimization problem that can be solved using dynamic programming.
Game theory, Dynamic programming(2 sessions); 4.
And that's something called dynamic programming.
This is bottom-up dynamic programming: a second way by which this problem can be solved.
The solution utilizes dynamic programming.
Dynamic programming(management processes with multiple stages, optimality principle, recurrent relations, DP techniques, applications); 12.
Algorithms that use dynamic programming.
Algorithms such as A* and Dijkstra's algorithm strategically eliminate paths,either through heuristics or through dynamic programming.
Algorithms that use dynamic programming.
A classic dynamic programming strategy works upward by finding the combinations of all smaller values that would sum to the current threshold.
This is what's known as dynamic programming.
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.
This concept is known as dynamic programming.
A similar dynamic programming technique shows that the longest path problem is also fixed-parameter tractable when parameterized by the treewidth of the graph.
This problem is solved using dynamic programming.
CL-USER 243> *person-1* Popular dynamic programming languages include JavaScript, Python, Ruby, PHP, Lua and Perl.
New matching algorithm, which uses dynamic programming.
For example, in dynamic programming a variety of successive approximation methods[6][7] are used to solve Bellman's functional equation, including methods based on fixed point iterations.
Floyd-Warshall uses Dynamic programming approach.
Many of these are dynamically typed,although dynamic typing need not be related to dynamic programming languages.
Both algorithms are based on dynamic programming but solve different problems.