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These problems can be solved by dynamic weighting schemes.
This model is formulated as a multi-stage decision-making problem and can be solved by dynamic programming.
The second layer allocation problem can be solved by dynamic programming, which can be obtained by recursively computing J N,⋯,J 1 based on Bellman's equation [15]: begin{array}{*{20}l} {J_{N}}left({{B_{N-1}}} right) &= {underset{{alpha_{N}}=- {B_{N-1}}}{max }}{C_{N,M}^{alpha_{N}}} end{array} (21).
From the algorithmic point of view, the global state definition can be considered as a partition problem, which can be solved by dynamic programming (49, 50).
This problem can be solved by dynamic programming, but as in our case a read is usually aligned entirely, a greedy approximation would work well.
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The co-segmentation problem was formulated as the shortest path problem and was solved by dynamic programming method.
This can be solved by the dynamic programming with the only knowledge of the current block state.
If the environment model (reward model and transition probabilities of states) is known, then the above problem can be solved by using Dynamic Programming.
With this inflow model, hydro-scheduling problems can be solved by the stochastic dual dynamic programming (SDDP) algorithm exactly as posed, without the additional sampling error introduced by sample average approximations.
The trCYK algorithm rests on good theoretical ground by viewing the sequence truncation problem formally as a missing data inference problem, and it makes only two minor assumptions to simplify the missing data inference problem to one that can be solved by a relatively efficient dynamic programming recursion.
Both WCFG and CFG Parsing problems can be solved by the Cocke-Kasami-Younger (CKY) dynamic programming algorithm [ 20- 22], whose running time is cubic in the number of words in the input sentence (or in the number of nucleotides in the input RNA sequence).
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