Practical Mixed-Integer Optimization for Geometry Processing

Abstract

Solving mixed-integer problems, i.e., optimization problems where some of the unknowns are continuous while others are discrete, is NP-hard. Unfortunately, real-world problems like e.g., quadrangular remeshing usually have a large number of unknowns such that exact methods become unfeasible. In this article we present a greedy strategy to rapidly… (More)
DOI: 10.1007/978-3-642-27413-8_12

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