One approach that has been used to solve the DGP is to represent it as a continuous optimization problem [59]. To understand it, we consider a DGP with K = 2, V = {u, v, s}, E = {{ u, v}, {v, s}}, where the associated quadratic system is [Formula presented] which can be rewritten as [Formula presented] Consider the function f: ℝ6→ ℝ, defined by [Formula presented] It is not hard to realize that the solution x∗∈ ℝ6 of the associated DGP can be found by solving the following problem: [Formula presented] That is, we wish to find the point x*∈ ℝ6 which attains the smallest value of f.
CITATION STYLE
Lavor, C., Liberti, L., Lodwick, W. A., & Mendonça da Costa, T. (2017). From continuous to discrete. In SpringerBriefs in Computer Science (Vol. 0, pp. 13–20). Springer. https://doi.org/10.1007/978-3-319-57183-6_3
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