Semidefinite programming for optimizing convex bodies under width constraints

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Abstract

We consider the problem of minimizing a functional (such as the area, perimeter and surface) within the class of convex bodies whose support functions are trigonometric polynomials. The convexity constraint is transformed via the Fejér-Riesz theorem on positive trigonometric polynomials into a semidefinite programming problem. Several problems such as the minimization of the area in the class of constant-width planar bodies, rotors and space bodies of revolution are revisited. The approach seems promising to investigate more difficult optimization problems in the class of three-dimensional convex bodies. © 2012 Copyright Taylor and Francis Group, LLC.

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Bayen, T., & Henrion, D. (2012). Semidefinite programming for optimizing convex bodies under width constraints. Optimization Methods and Software, 27(6), 1073–1099. https://doi.org/10.1080/10556788.2010.547580

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