Model Order Reduction Techniques with Applications in Finite Element Analysis

Model Order Reduction Techniques with Applications in Finite Element AnalysisModel Order Reduction Techniques Despite the continued rapid advance in computing speed and memory the increase in the complexity of models used by engineers persists in outpacing them. Even where there is access to the latest hardware, simulations are often extremely computationally intensive and time-consuming when full-blown models are under consideration. The need to reduce the computational cost involved when dealing with high-order/many-deg…

Model Order Reduction Techniques: With Applications in Finite Element Analysis

Model Order Reduction Techniques: With Applications in Finite Element AnalysisModel Order Reduction Techniques Despite the continued rapid advance in computing speed and memory the increase in the complexity of models used by engineers persists in outpacing them. Even where there is access to the latest hardware, simulations are often extremely computationally intensive and time-consuming when full-blown models are under consideration. The need to reduce the computational cost involved when dealing with high-order/many-deg…

Model Order Reduction Techniques: With Applications in Finite Element Analysis by Zu-Qing Qu (2010-08-03)

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Model Order Reduction Techniques: With Applications in Finite Element Analysis by Zu-Qing Qu (2010-08-03)Model Order Reduction Techniques Despite the continued rapid advance in computing speed and memory the increase in the complexity of models used by engineers persists in outpacing them. Even where there is access to the latest hardware, simulations are often extremely computationally intensive and time-consuming when full-blown models are under consideration. The need to reduce the computational cost involved when dealing with high-order/many-deg…

Model Order Reduction Techniques with Applications in Finite Element Analysis by Zu-Qing Qu (2004-09-09)

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Model Order Reduction Techniques with Applications in Finite Element Analysis by Zu-Qing Qu (2004-09-09)Model Order Reduction Techniques Despite the continued rapid advance in computing speed and memory the increase in the complexity of models used by engineers persists in outpacing them. Even where there is access to the latest hardware, simulations are often extremely computationally intensive and time-consuming when full-blown models are under consideration. The need to reduce the computational cost involved when dealing with high-order/many-deg…

Model Order Reduction Techniques with Applications in Electrical Engineering

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Model Order Reduction Techniques with Applications in Electrical EngineeringModel Order Reduction Techniques Despite the continued rapid advance in computing speed and memory the increase in the complexity of models used by engineers persists in outpacing them. Even where there is access to the latest hardware, simulations are often extremely computationally intensive and time-consuming when full-blown models are under consideration. The need to reduce the computational cost involved when dealing with high-order/many-deg…

Design of Robust Power System Stabilizers: for Multi-machine Power System via Evolutionary Model Order Reduction Technique using Fast Output Sampling Method

Design of Robust Power System Stabilizers: for Multi-machine Power System via Evolutionary Model Order Reduction Technique using Fast Output Sampling MethodModel Order Reduction Techniques Despite the continued rapid advance in computing speed and memory the increase in the complexity of models used by engineers persists in outpacing them. Even where there is access to the latest hardware, simulations are often extremely computationally intensive and time-consuming when full-blown models are under consideration. The need to reduce the computational cost involved when dealing with high-order/many-deg…

Machine Learning for Model Order Reduction

Machine Learning for Model Order ReductionModel Order Reduction Techniques Despite the continued rapid advance in computing speed and memory the increase in the complexity of models used by engineers persists in outpacing them. Even where there is access to the latest hardware, simulations are often extremely computationally intensive and time-consuming when full-blown models are under consideration. The need to reduce the computational cost involved when dealing with high-order/many-deg…

Advanced Model Order Reduction Techniques in Vlsi Design

Advanced Model Order Reduction Techniques in Vlsi DesignModel Order Reduction Techniques Despite the continued rapid advance in computing speed and memory the increase in the complexity of models used by engineers persists in outpacing them. Even where there is access to the latest hardware, simulations are often extremely computationally intensive and time-consuming when full-blown models are under consideration. The need to reduce the computational cost involved when dealing with high-order/many-deg…

On the Use of Model Order Reduction Techniques for the Elastohydrodynamic Contact Problem

On the Use of Model Order Reduction Techniques for the Elastohydrodynamic Contact ProblemModel Order Reduction Techniques Despite the continued rapid advance in computing speed and memory the increase in the complexity of models used by engineers persists in outpacing them. Even where there is access to the latest hardware, simulations are often extremely computationally intensive and time-consuming when full-blown models are under consideration. The need to reduce the computational cost involved when dealing with high-order/many-deg…

Advanced Model Order Reduction Techniques in VLSI Design

Advanced Model Order Reduction Techniques in VLSI DesignModel Order Reduction Techniques Despite the continued rapid advance in computing speed and memory the increase in the complexity of models used by engineers persists in outpacing them. Even where there is access to the latest hardware, simulations are often extremely computationally intensive and time-consuming when full-blown models are under consideration. The need to reduce the computational cost involved when dealing with high-order/many-deg…