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Figure 2 | Journal of Mathematics in Industry

Figure 2

From: A greedy algorithm for optimal heating in powder-bed-based additive manufacturing

Figure 2

The weight \(\beta _{p, q}\) is based on a quadratic function that decreases along the local beam path \(\mathcal{C}_{p,q}^{\mathrm{s}}\). It is piecewise constant, largest on the first r segments in the window since they are about to be frozen (see Algorithm 1), and takes different values over the remaining segments. The weight is identical for the local secondary path \(\mathcal{C}_{p,q}^{\mathrm{wd}}\).

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