摇曳的微光 发表于 2025-3-30 12:07:04

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aggressor 发表于 2025-3-30 15:07:56

https://doi.org/10.1007/978-3-319-49941-3 practical. For general problems, automatic differentiation is likely to be the most convenient means of exploiting second derivatives. We delineate a role for automatic differentiation in matrix-free optimization formulations involving Newton’s method, in which little more storage is required than that for the analysis code alone.

mortuary 发表于 2025-3-30 17:29:15

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查看完整版本: Titlebook: Automatic Differentiation of Algorithms; From Simulation to O George Corliss,Christèle Faure,Uwe Naumann Book 2002 Springer Science+Busines