Examples of using Dynamic programming in English and their translations into Portuguese
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This is top-down dynamic programming.
Dynamic programming languages such as JavaScript and Python have gained popularity.
This concept is known as dynamic programming.
Culture, sports, dynamic programming, focused on the listener with a lot of interaction.
This is generally solved using Dynamic Programming.
The dynamic programming of Richard Bellman is an alternative to the calculus of variations.
The algorithm is a Dynamic programming algorithm.
Dynamic Programming is a powerful technique used for solving a particular class of problems as we will see.
Perl- High level,general purpose, dynamic programming language.
Real-time dynamic programming for Markov Decision Processes with Imprecise Proba….
Perl is an open source, server side,high level dynamic programming language.
Computational biology uses dynamic programming algorithms to measure similarity among genomes.
At all campuses and in all divisions, Northwood University is energized andis actively pursuing dynamic programming and increased influence.
Reinforcement learning and approximate dynamic programming are paradigms for optimal control learning.
Dynamic programming, where the time complexity of a problem can be reduced significantly by using more memory.
These approaches typically use the stochastic dynamic programming(sdp) to solve the oophs.
Asynchronous dynamic programming for discrete and continuous Markov decision processes, BE.EP. MS.
This model uses discrete-event simulation, dynamic programming and linear programming. .
Also, a dynamic programming algorithm of Bellman, Held, and Karp can be used to solve the problem in time On2 2n.
It was one of the first applications of dynamic programming to compare biological sequences.
Matrix chain multiplication(or Matrix Chain Ordering Problem, MCOP)is an optimization problem that can be solved using dynamic programming.
The proposed procedure uses dynamic programming and this procedure is usually applied to vehicle routing problems.
These problems may be analyzed using graph-theoretic methods, by dynamic programming, or by integer programming. .
Pseudo-polynomial time dynamic programming solution==The problem can be solved in pseudo-polynomial time using dynamic programming.
The design of algorithms is part of many solutiontheories of operation research, such as dynamic programming and divide-and-conquer.
We proposed an algorithm based on dynamic programming that considers the problem as a cutting stock problem.
The dynamic programming principle and the minimum principle proposed by richard ernst bellman and lev semyonovitch pontryagin, respectively, become conditions for determining optimal strategies controls.
There are two key attributes that a problem must have in order for dynamic programming to be applicable: optimal substructure and overlapping sub-problems.
In the second phase, a dynamic programming algorithm is applied to this decomposition in order to find the optimal decomposition.
The topics covered include stochastic dynamic programming, simulation-based optimization, and reinforcement learning algorithms.