S. Janardhanan

dblp:87/2020 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation
circuit simulation
0.212013
Piece-wise Quasi-linear Approximation for Nonlinear Model Reduction · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013
Electronic design automation › circuit simulation
model order reduction
0.212013
Piece-wise Quasi-linear Approximation for Nonlinear Model Reduction · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013
Electronic design automation › circuit simulation › model order reduction
nonlinear model reduction
0.212013
Piece-wise Quasi-linear Approximation for Nonlinear Model Reduction · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013
Mathematical optimization
approximation methods
0.012013
Piece-wise Quasi-linear Approximation for Nonlinear Model Reduction · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2013

Methods — techniques the papers use, named apart from their topics

trajectory piece-wise quasi-linear method · 0.3quasi-linear formulation · 0.3
YearPublicationVenuePosition
2013 Piece-wise Quasi-linear Approximation for Nonlinear Model Reduction
abstract
The trajectory piece-wise linear (TPWL) method is a popular technique for nonlinear model order reduction (MOR). Though widely studied, it has primarily been restricted to applications modeled by nonlinear systems with linear input operators. This paper is an effort to bridge this gap. We illustrate problems in the TPWL method in creating reduced order models for nonlinear systems with nonlinear input operators. We also propose a solution based on a quasi-linear formulation of the nonlinear system at approximation points. This results in a method for nonlinear MOR, called the trajectory piece-wise quasi-linear (TPWQ) method. TPWQ is formulated, numerically validated and a new technique to reduce the computational costs associated with simulating the quasi-linear systems is also demonstrated.
Shahkar Ahmad Nahvi, Mashuq Un Nabi, S. Janardhanan
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.3
2004 Simulation, Design and Practical Implementation of a Mobile Wireless Autonomous Surveillance System
T. C. Manjunath, P. S. Shingare, S. Janardhanan
ICINCO (2)3