Titlebook: Advances in Automatic Differentiation; Christian H. Bischof,H. Martin Bücker,Jean Utke Conference proceedings 2008 Springer-Verlag Berlin

Espionage

書目名稱Advances in Automatic Differentiation影響因子(影響力)




書目名稱Advances in Automatic Differentiation影響因子(影響力)學(xué)科排名




書目名稱Advances in Automatic Differentiation網(wǎng)絡(luò)公開度




書目名稱Advances in Automatic Differentiation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Automatic Differentiation被引頻次




書目名稱Advances in Automatic Differentiation被引頻次學(xué)科排名




書目名稱Advances in Automatic Differentiation年度引用




書目名稱Advances in Automatic Differentiation年度引用學(xué)科排名




書目名稱Advances in Automatic Differentiation讀者反饋




書目名稱Advances in Automatic Differentiation讀者反饋學(xué)科排名

Benzodiazepines

https://doi.org/10.1057/9781137316424ting schemes at the level of call trees. For a given amount of persistent memory the objective is to store selected arguments and/or results of subroutine calls such that the overall computational effort (the total number of floating-point operations performed by potentially repeated forward evaluat

Obliterate

https://doi.org/10.1057/9781137316424that computes the function’s derivatives. To ensure the correctness of the AD transformed code, particularly for safety critical applications, we propose using the proof-carrying code paradigm: an AD tool must provide a machine checkable certificate for an AD generated code, which can be checked in

Climate

Antioxidant

把…比做

painkillers

https://doi.org/10.1007/978-3-030-77950-4 include parametric optimization, saddle point problems, Benders decompositions, and multilevel optimization. In this paper we adapt a known automatic differentiation (AD) technique for obtaining derivatives of implicitly defined functions for application to optimal value functions. The formulation

減弱不好

Limpid

LIMIT

Britain‘s Internees in the Second World War by a graph with a minimal edge count. So far, scarsity has been recognized only from a high-level application point of view, and no automatic exploitation has been attempted. We introduce an approach to recognize and use scarsity in computational graphs in a source transformation context. The goal