Automatic Differentiation: Applications, Theory, and Implementations (Lecture Notes in Computational Science and Engineering) - applications, theory and implementations
Bu¨cker, Martin; Corliss, George; Hovland, Paul; Naumann, Uwe; Norris, Boyana
Springer (2006)
In Collection
#882
0*
Differential calculus - Data processing - Congresses, Differential-difference equations - Data processing - Congresses
Paperback 3540284036
eng

This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students will learn about advances in automatic differentiation techniques and strategies for the implementation of robust and powerful tools. Computational scientists and engineers will benefit from the discussion of applications, which provide insight into effective strategies for using automatic differentiation for design optimization, sensitivity analysis, and uncertainty quantification.


Product Details
LoC Classification QA304.I58 2006
Dewey 515.330285
Cover Price $99.00
No. of Pages 367
Height x Width 9.2 x 6.1  inch
Personal Details
Read It No
Location B3
Links Amazon US
Notes
"The Fourth International Conference on Automatic Differentiation was held July 20-23 in Chicago, Illinois"--Pref.