New numerical solutions to Newton's problem of least resistance via a convex hull approach
Gerd Wachsmuth

TL;DR
This paper introduces a convex hull-based numerical method to solve Newton's least resistance problem, revealing symmetric solutions with extremal points on specific curves, enabling highly accurate results.
Contribution
The paper develops a novel convex hull approach for numerically solving Newton's problem, highlighting the structure and symmetry of solutions.
Findings
Solutions exhibit symmetry and extremal points on specific curves
The method achieves high accuracy in solutions
Solutions' structure supports conjectured symmetry
Abstract
We present a numerical method for the solution of Newton's problem of least resistance in the class of convex functions using a convex hull approach. We observe that the numerically computed solutions possess some symmetry. Further, their extremal points lie on several curves. By exploiting this conjectured structure, we are able to compute highly accurate solutions to Newton's problem.
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Taxonomy
TopicsMathematical functions and polynomials · Advanced Optimization Algorithms Research · Iterative Methods for Nonlinear Equations
