Jia Kang, Ph.D.

2015 Chemical Engineering Texas A & M University, College Station, TX, United States 
"Jia Kang"


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Juergen Hahn grad student 2015 Texas A & M
 (An Efficient Interior-Point Decomposition Algorithm for Parallel Solution of Large-Scale Nonlinear Problems with Significant Variable Coupling)
Carl D. Laird grad student 2015 (Computer Science Tree)
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Kang J, Cao Y, Word DP, et al. (2014) An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition Computers and Chemical Engineering. 71: 563-573
Kang J, Siirola JD, Laird C. (2014) Parallel solution of nonlinear contingency-constrained network problems. Computer-Aided Chemical Engineering. 34: 705-710
Word DP, Kang J, Akesson J, et al. (2014) Efficient parallel solution of large-scale nonlinear dynamic optimization problems Computational Optimization and Applications. 59: 667-688
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