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In sum, problems in employment represent a difficulty both because of reduction in efficiency and restriction in time.
In particular, we propose the classical Minimum Leaves Spanning Tree problem as a relevant problem in this field and show its relations with the Minimum Branch Vertices and the Minimum Degree Sum Problems.
The main purpose of this paper is, using some properties of the Chebyshev polynomials, to study the power sum problems for the sinx and cosx functions and to obtain some interesting computational formulas.
The main purpose of this paper is by using the definitions and properties of Chebyshev polynomials to study the power sum problems involving Fibonacci polynomials and Lucas polynomials and to obtain some interesting divisible properties.
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For example, the Subset Sum problem mentioned above is an NP-complete problem.
We also refer to this problem as the 1D maximum subsequence sum problem.
Most likely it requires exponential time to tell whether a given Subset Sum problem has an exact solution.
The formulation follows the well-known subset sum problem, which is a special case of the knapsack problem.
Previous works have reported good parallel solutions for the maximum subsequence sum problem.
Through the output array, we can find all disjoint subsequences of the maximum subsequence sum problem.
The best sequential algorithm for the maximum subsequence sum problem, has O(n) time complexity [2].
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