Using an Analytical Computational-Geometry Library to Model Nonoverlap and Boundary-Distance Constraints and their Application to Packing Poly-Bézier Shapes

In this paper we will show how to model nonoverlap as well as uniform and nonuniform boundary-distance constraints between poly-Bézier shapes using an analytical computational-geometry library. We then use this capability to develop, implement and analyze analytical-optimization solutions to minimum-area rectangular-boundary packing-problems as well as minimum-area one- and two-dimensional puzzle-piece packing-problems. In the process, we will demonstrate the ease and efficiency with which analytical-optimization solutions to complex packing-problems can be formulated, implemented, solved, and analyzed using these models.

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MonarchIP P.O. Box 202767 Austin, Texas 78720 December 2021

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