4 citations · 5 across the 3 of their papers we have counts for
5 papers
Cube Sampled K-Prototype Clustering for Featured Data
Seemandhar Jain, Aditya A. Shastri, Kapil Ahuja +2
Clustering large amount of data is becoming increasingly important in the current times. Due to the large sizes of data, clustering algorithm often take too much time. Sampling thi…
Reusing Preconditioners in Projection based Model Order Reduction Algorithms
Navneet Pratap Singh, Kapil Ahuja
Dynamical systems are pervasive in almost all engineering and scientific applications. Simulating such systems is computationally very intensive. Hence, Model Order Reduction (MOR)…
Preconditioned Linear Solves for Parametric Model Order Reduction
Navneet Pratap Singh, Kapil Ahuja
The main computational cost of algorithms for computing reduced-order models of parametric dynamical systems is in solving sequences of very large and sparse linear systems. We foc…
Stability Analysis of Inexact Solves in Model Reduction of Non-parametric Second-order Dynamical systems
Kapil Ahuja, Navneet Pratap Singh
Here, we focus on Model Order Reduction (MOR) of non-parametric second-order dynamical systems. In these MOR algorithms, sequences of large and sparse linear systems arise during t…
Preconditioned Iterative Solves in Model Reduction of Second Order Linear Dynamical Systems
Navneet Pratap Singh, Kapil Ahuja, Heike Fassbender
Recently a new algorithm for model reduction of second order linear dynamical systems with proportional damping, the Adaptive Iterative Rational Global Arnoldi (AIRGA) algorithm, h…