Publications by Author: Kulshreshtha
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Order by: [Title], [Author], [Editor], [Year]
Sabrina Fiege, Andrea Walther, Kshitij Kulshreshtha, Andreas Griewank
Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Kshitij Kulshreshtha, Jan Marburger
Computing Derivatives in a Meshless Simulation Using Permutations in ADOL-C
Recent Advances in Algorithmic Differentiation, Springer, 2012
Tools:
ADOL-C
Kshitij Kulshreshtha, Sri Hari Krishna Narayanan, Julie Bessac, Kaitlyn MacIntyre
Efficient computation of derivatives for solving optimization problems in R and Python using SWIG-generated interfaces to ADOL-C
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Benjamin Letschert, Kshitij Kulshreshtha, Andrea Walther, Duc Nguyen, Assefaw Gebremedhin, Alex Pothen
Exploiting Sparsity in Automatic Differentiation on Multicore Architectures
Recent Advances in Algorithmic Differentiation, Springer, 2012
Theory & Techniques:
Parallelism, Sparsity
Andreas Griewank, Kshitij Kulshreshtha, Andrea Walther
On the numerical stability of algorithmic differentiation
Article in Computing, Springer Vienna, 2012
Theory & Techniques:
Stability

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