http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Automatic differentiation in MATLAB using ADMAT with applications
Fundamentals of automatic differentiation and the use of ADMAT -- Products and sparse problems -- Using ADMAT with the MATLAB optimization toolbox -- Newton's method and optimization -- Structure -- Combining C/FORTRAN with ADMAT -- AD for inverse problems with an application to computational finance -- A template for structured problems -- R&D directions.
Thomas F. Coleman, University of Waterloo, Waterloo, Ontario, Canada, Wei Xu, Tongji University, Shanghai, P.R. China, and Global Risk Institute, Toronto, Ontario, Canada.
Includes bibliographical references and index.