{
"item_title" : "System- And Data-Driven Methods and Algorithms",
"item_author" : [" Peter Benner", "Et Al "],
"item_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 first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques. ",
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Overview
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 first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.
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Details
- ISBN-13: 9783110500431
- ISBN-10: 3110500434
- Publisher: de Gruyter
- Publish Date: November 2021
- Dimensions: 9.5 x 6.5 x 0.8 inches
- Shipping Weight: 2.05 pounds
- Page Count: 388
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