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math.OC2026
An adaptive discretization algorithm for locally optimal experimental design with constraints
Jochen Schmid, Philipp Seufert, Jan Schwientek +2
We develop a novel iterative algorithm for locally optimal experimental design under constraints, like budget or performance constraints. It is an adaptive discretization algorithm…
math.OC2023★ 4 cited
A Decomposition Method for the Hybrid Quantum-Classical Solution of the Number Partitioning Problem
Zongji Li, Tobias Seidel, Michael Bortz +1
Current quantum computers can only solve optimization problems of a very limited size. For larger problems, decomposition methods are required in which the original problem is brok…