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ORCIDKshitij Kulshreshtha
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2010 – 2019
- 2018
[j5]Sabrina Fiege
, Andrea Walther, Kshitij Kulshreshtha, Andreas Griewank:
Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization. Optim. Methods Softw. 33(4-6): 1073-1088 (2018)- [j4]Kshitij Kulshreshtha, Sri Hari Krishna Narayanan, Julie Bessac, K. Macintyre:
Efficient computation of derivatives for solving optimization problems in R and Python using SWIG-generated interfaces to ADOL-C. Optim. Methods Softw. 33(4-6): 1173-1191 (2018) - 2017
- [c2]Willi Braun, Kshitij Kulshreshtha, Rüdiger Franke, Andrea Walther, Bernhard Bachmann:
Towards Adjoint and Directional Derivatives in FMI utilizing ADOL-C within OpenModelica. Modelica 2017: 132:040 - 2015
- [c1]Kshitij Kulshreshtha, Sri Hari Krishna Narayanan, Tim Albring:
A Mixed Approach to Adjoint Computation with Algorithmic Differentiation. System Modelling and Optimization 2015: 331-340 - 2012
- [j3]Andreas Griewank, Kshitij Kulshreshtha, Andrea Walther:
On the numerical stability of algorithmic differentiation. Computing 94(2-4): 125-149 (2012)
2000 – 2009
- 2005
- [j2]Kshitij Kulshreshtha, Neela Nataraj, Michael Jung:
A parallel mixed finite element implementation of fourth-order plate bending problems in distributed memory environments. Appl. Math. Comput. 163(1): 253-274 (2005) - 2004
- [j1]Kshitij Kulshreshtha, Neela Nataraj, Michael Jung:
Performance of a parallel mixed finite element implementation for fourth order clamped anisotropic plate bending problems in distributed memory environments. Appl. Math. Comput. 155(3): 753-777 (2004)
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