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Title:Model Order Reduction: Volume 3: Peter (Editor)Description:An Increasing Complexity Of Models Used To Predict Real-World Systems Leads To The Need For Algorithms To Replace Complex Models With Far Simpler Ones, While Preserving The Accuracy Of The Predictions This Two-Volume Handbook Covers Methods As Well As Applications This Second Volume Focuses On Applications In Engineering, Biomedical Engineering, Computational Physics And Computer Science Binding:Hardcover, HardcoverPublisher:de GruyterPublication Date:2020-09-14Weight:2.1 lbsDimensions:Number of Pages:416Language:English
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