March 01, 2026 article Open access Data-driven Lipschitz-informed convex underestimators for branch-and-bound optimization of black-box functions Journal of Global Optimization DOI: 10.1007/s10898-025-01572-8 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Deterministic global optimization with Gaussian processes embedded 2021 Mathematical Programming Computation article Mathematics Advanced Optimization Algorithms Research Open access 47 citations 1 result