The matrix-free format now estimates scales of its field components automatically.
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Voir la copie d'écran Automatic Scales Supported in the Matrix-Free Format This is useful for reducing the amount of data stored for large models as well as for filtering unwanted solutions for the purposes of postprocessing. The Combine Solutions feature now allows you to keep only selected parts of a solution with respect to solution times, eigenfrequencies, and parameters. Remove Selections When Combining Solutions This leads to a faster setup on multicore processors and a reduced memory peak on clusters. The SA-AMG solver is primarily used for CFD simulations and the setup phase of SA-AMG now takes advantage of multicore and distributed memory. The results from the reduced-order model (blue and green lines) compare favorably with the outputs from the FEM simulation (red and cyan lines).ĬOMSOL_Multiphysics/Tutorials/thermal_controller_rom Parallelized Smoothed Aggregation Algebraic Multigrid (SA-AMG) Note that the Model Reduction study is only available from the Study context menu when you have the Advanced Study Options enabled. The reduced models produced by the modal solver can also be used to retrieve the system matrices of the reduced linear system through the Java ® API or with LiveLink™ for MATLAB ®, including matrices on state-space form. When using the modal solver, you can use global parameters to define model control inputs for the reduced model, to be substituted with global expressions, making it possible to feed the reduced models rather freely. The reduced models can define global variable outputs and reconstruct selected parts of the unreduced model. You can perform a transient simulation or a frequency sweep directly in the model reduction study, and produce a reduced model to use in a different context, if desired. Then, a reduced model is generated, reproducing the original model as closely as possible, based on the set input-output relationship and a user-defined fidelity measure.Īs part of the new framework, a separate study for model reduction has been introduced with support for using the modal solver as well as the asymptotic waveform evaluation (AWE) solver. Before creating a reduced model, the user defines a set of input and output parameters, as well as a model reduction method ( Modal or AWE in COMSOL Multiphysics ®). One example would be cases where a similar computation needs to be performed many times using different input parameters.
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A reduced model is an approximation to the original model, used to accelerate the solution process. Model reduction is a collective name for a range of numerical techniques that are used to generate more efficient models by reducing the number of degrees of freedom that are being solved for. Model ReductionĪ new framework for model reduction is available in COMSOL Multiphysics ® version 5.3a that separates the processes of generating and using reduced models.
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