2 papers
math.OC2026
Non-convergence Analysis of Probabilistic Direct Search
Cunxin Huang, Zaikun Zhang
We present a non-convergence theory for probabilistic direct search, a randomized derivative-free optimization method, where non-convergence means the failure to produce iterates t…
math.OC2025
A Graph-Partitioning Based Continuous Optimization Approach to Semi-supervised Clustering Problems
Wei Liu, Xin Liu, Michael K. Ng +1
Semi-supervised clustering is a basic problem in various applications. Most existing methods require knowledge of the ideal cluster number, which is often difficult to obtain in pr…