Projects per year
Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit
Costs
Engineering & Materials Science
Polynomials
Engineering & Materials Science
Convex optimization
Engineering & Materials Science
Scheduling
Engineering & Materials Science
Linear programming
Engineering & Materials Science
Semidefinite Programming
Mathematics
Supply chains
Engineering & Materials Science
Primal-dual
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Darin A England
- College of Science & Engineering, Industrial and Systems Engineering - Teaching Assistant Professor
Person: Teaching Faculty
Qie He
- College of Science & Engineering, Industrial and Systems Engineering - Assistant Professor
Person: Faculty
Projects 2005 2021
Fast routing algorithms for power distribution network restoration
8/2/18 → 9/5/19
Project: Research project
Routing algorithms
Electric power distribution
Restoration
Improving the timeliness of infant vaccinations through
Negoescu, D., Basta, N. E. & Benjaafar, S.
BILL & MELINDA GATES FOUNDATION
11/1/17 → 4/30/19
Project: Research project
Research Output 1986 2018
Accelerated primal–dual proximal block coordinate updating methods for constrained convex optimization
Xu, Y. & Zhang, S., May 1 2018, In : Computational Optimization and Applications. 70, 1, p. 91-128 38 p.Research output: Contribution to journal › Article
Convex optimization
Primal-dual
Constrained optimization
Constrained Optimization
Convex Optimization
A robust optimization approach to cancer treatment under toxicity uncertainty
Zhu, J., Badri, H. & Leder, K. Z., Jan 1 2018, Methods in Molecular Biology. Humana Press Inc., p. 297-331 35 p. (Methods in Molecular Biology; vol. 1711).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Uncertainty
Clinical Protocols
Protein-Tyrosine Kinases
Neoplasms
Neutrophils
A sparse completely positive relaxation of the modularity maximization for community detection
Zhang, J., Liu, H., Wen, Z. & Zhang, S., Jan 1 2018, In : SIAM Journal on Scientific Computing. 40, 5, p. A3091-A3200Research output: Contribution to journal › Article
Community Detection
Modularity
Computational complexity
Probability Bounds
Misclassification Rate