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QALO-MOR: Improved antlion optimizer based on quantum information theory for model order reduction
Journal of Intelligent & Fuzzy Systems, 2021The field of optimization science is proliferating that has made complex real-world problems easy to solve. Metaheuristics based algorithms inspired by nature or physical phenomena based methods have made its way in providing near-ideal (optimal) solutions to several complex real-world problems.
Rosy Pradhan +3 more
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2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), 2018
In the present paper a reduced order modeling method called Discrete Empirical Interpolation, which reduces the complexity involved in the computaion of the well known Proper Orthogonal Decomposition (POD) applied to Telegraph equation. The nonlinear partial differential equation (PDE) is discretized using finite difference (FD) method. Obtained set of
S. Nagaraj +2 more
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In the present paper a reduced order modeling method called Discrete Empirical Interpolation, which reduces the complexity involved in the computaion of the well known Proper Orthogonal Decomposition (POD) applied to Telegraph equation. The nonlinear partial differential equation (PDE) is discretized using finite difference (FD) method. Obtained set of
S. Nagaraj +2 more
openaire +1 more source
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Cong Wang 0040 +2 more
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Cong Wang 0040 +2 more
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MF-MOR: Multi-Fidelity Model Order Reduction for Many-Port Linear Systems in Chip Power Modeling
2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)Zhenjie Lu, Hang Zhou, Quan Chen
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A new model order reduction method for the design of compensator by using moment matching algorithm
Transactions of the Institute of Measurement and Control, 2020Arvind Kumar Prajapati
exaly
Accuracy and efficiency enhanced non-linear model order reduction
International Journal of Modelling, Identification and Control, 2007Hamid Reza Shaker
exaly