| An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition J Kang, Y Cao, DP Word, CD Laird Computers & Chemical Engineering 71, 563-573, 2014 | 58 | 2014 |
| Efficient parallel solution of large-scale nonlinear dynamic optimization problems DP Word, J Kang, J Akesson, CD Laird Computational Optimization and Applications 59, 667-688, 2014 | 42 | 2014 |
| Nonlinear programming strategies on high-performance computers J Kang, N Chiang, CD Laird, VM Zavala 2015 54th IEEE Conference on Decision and Control (CDC), 4612-4620, 2015 | 33 | 2015 |
| Decomposition via ADMM for scenario-based model predictive control J Kang, AU Raghunathan, S Di Cairano 2015 American Control Conference (ACC), 1246-1251, 2015 | 11 | 2015 |
| Parallel solution of robust nonlinear model predictive control problems in batch crystallization Y Cao, J Kang, ZK Nagy, CD Laird Processes 4 (3), 20, 2016 | 8 | 2016 |
| An efficient interior-point decomposition algorithm for parallel solution of large-scale nonlinear problems with significant variable coupling J Kang | 3 | 2015 |
| Parallel solution of nonlinear contingency-constrained network problems J Kang, JD Siirola, CD Laird Computer Aided Chemical Engineering 34, 705-710, 2014 | 3 | 2014 |
| Reconstruction of transcription factor profiles from fluorescent protein reporter systems via dynamic optimization and T ikhonov regularization W Dai, J Hahn, J Kang AIChE Journal 60 (11), 3754-3761, 2014 | 1 | 2014 |
| Parallel solution of nonlinear contingency-constrained network problems. JP Watson, J Kang, JD Siirola, C Laird Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2014 | | 2014 |
Victor M ZavalaUniversity of Wisconsin-Madison & Argonne National LaboratoryVerified email at wisc.edu
