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RT Book, Whole SR Electronic DC OPAC T1 Advances in Automatic Differentiation / edited by Christian H. Bischof, H. Martin Bücker, Paul Hovland, Uwe Naumann, Jean Utke T2 Lecture Notes in Computational Science and Engineering A1 Bischof, Christian H. A1 Bücker, H. Martin A1 Hovland, Paul A1 Naumann, Uwe A1 Utke, Jean A1 SpringerLink (Online service) YR 2008 FD 2008 SP XVIII, 368 p. 111 illus K1 Mathematics K1 Computers K1 Computer science -- Mathematics K1 Computer mathematics K1 Mathematical optimization K1 Electrical engineering K1 Mathematics K1 Computational Science and Engineering K1 Optimization K1 Theory of Computation K1 Computational Mathematics and Numerical Analysis K1 Electrical Engineering K1 Mathematics of Computing PB Springer Berlin Heidelberg PP Berlin, Heidelberg SN 9783540689423 LA English (英語) CL DC23:004 NO This collection covers advances in automatic differentiation theory and practice. Computer scientists and mathematicians will learn about recent developments in automatic differentiation theory as well as mechanisms for the construction of robust and powerful automatic differentiation tools. Computational scientists and engineers will benefit from the discussion of various applications, which provide insight into effective strategies for using automatic differentiation for inverse problems and design optimization NO 書誌ID=1003001832; LK [E Book]http://dx.doi.org/10.1007/978-3-540-68942-3 OL 30