Convex mixed-integer optimization with Frank–Wolfe methods

Deborah Hendrych; Hannah Troppens; Mathieu Besançon; Sebastian Pokutta

doi:10.1007/s12532-025-00288-w

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Convex mixed-integer optimization with Frank–Wolfe methods

Deborah Hendrych Hannah Troppens Mathieu Besançon Sebastian Pokutta

Year: 2025 Journal: Mathematical Programming Computation Vol: 17 (4)Pages: 731-757 Publisher: Springer Science+Business Media

DOI: 10.1007/s12532-025-00288-w

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Keywords:

Theory of computation Integer (computer science) Integer programming Regular polygon Mathematical optimization Mathematics Conic optimization Convex optimization Mathematical economics Computer science Convex analysis Algorithm Geometry

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Advanced Optimization Algorithms Research

Physical Sciences → Mathematics → Numerical Analysis

Sparse and Compressive Sensing Techniques

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Stochastic Gradient Optimization Techniques

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Convex mixed-integer optimization with Frank–Wolfe methods

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