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An adaptive model reduction approach for 3D fatigue crack growth in small sca...
It has been known for decades that fatigue crack propagation in elastic-plastic media is very sensitive to load history since the nonlinear behavior of the material... -
Symmetry-based model reduction for approximate stochastic analysis
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Tropical Geometries and Dynamics of Biochemical Networks Application to Hybri...
Proceedings of the 2nd International Workshop on Static Analysis and Systems Biology (SASB 2011) -
Optimal expansions of discrete-time Volterra models using Laguerre functions
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Model Reduction and Adaption of Optimum-shape design in aerodynamics by Neura...
A method to reduce the dimension of the initial search space in an optimizati- on problem is proposed. The method consists in the identification of the sub-space with... -
Symbolic Abstractions of Automata and their application to the Supervisory Co...
In this report, we describe the design of abstraction methods based on symbolic techniques: classical abstraction by state fusion has been considered- . we present a... -
Learning reduced models for motion estimation on long temporal image sequences
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Model reduction based on Proper Generalized Decomposition for the Stochastic ...
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Empirical Natural Closure Relation for Short Fiber Suspension Models
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Some Incipient Techniques For Improving Efficiency in Computational Mechanics
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Scaling Invariants and Symmetry Reduction of Dynamical Systems
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Identification of microwave filters by analytic and rational H2 approximation
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A model reduction strategy for computing the forced response of elastic waveg...
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Model reduction and perturbation analysis of wave finite element formulations...
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Tensor-based methods for numerical homogenization from high-resolution images
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A priori tensor approximations for the numerical solution of high dimensional...
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An oriented-design simplified model for the efficiency of a flat plate solar ...
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Reduced Order Models for a LNT-SCR Diesel After-treatment Architecture with N...
LNT and SCR are two leading candidates for Diesel exhaust nitrogen oxide (NOx) after-treatment. The present paper investigates the modeling of the architecture... -
About the POD model reduction in computational mechanics for nonlinear contin...
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Locally Adaptive Greedy Approximations for Anisotropic Parameter Reduced Basi...
Reduced order models, in particular the reduced basis method, rely on empirically built and problem dependent basis functions that are constructed during an off-line...
