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Order by: [Title], [Author], [Editor], [Year]
Bradley M. Bell, Kasper Kristensen
Newton step methods for AD of an objective defined using implicit functions
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Julia H. Gray, Louis B. Rall
NEWTON: A general purpose program for solving nonlinear equations
Proc. 1967 Army Numerical Analysis Conference, U.S. Army Research Office, 1967
not yet classified
K. Röbenack
Nonlinear controller design based on algorithmic plant description
Conference proceeding, Proc. 4th MATHMOD, 2003
Application Area:
Control
Tools:
ADOL-C
Theory & Techniques:
Taylor Arithmetic
P. Mahapatra, J. Ma, S. E. Zitney
Nonlinear Model Predictive Control Using Decoupled A-B Net Formulation for Carbon Capture Systems -- Comparison with Algorithmic Differentiation Approach
Conference proceeding, 2018 Annual American Control Conference (ACC), Milwaukee, Wisconsin, USA, June 27--29, 2018, IEEE, 2018
Application Area:
Carbon Cycle, Control
Tools:
ADiMat
K. Miettinen
Nonlinear Multiobjective Optimization
Kluwer Academic Publishers, 1999
not yet classified
Klaus Röbenack, Kurt J. Reinschke
Nonlinear Observer Design Using Automatic Differentiation
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Control
Tools:
ADOL-C
A. Sinha, B. V. Rao, C. Bischof
Nonlinear optimization model for screening multipurpose reservoir systems
Article in Journal of Water Resources Planning and Management, 1999
Application Area:
Oceanography
Tools:
ADIFOR
M. Bartholomew-Biggs
Nonlinear Optimization with Engineering Applications
Springer, 2008
Theory & Techniques:
General
Jan Schumann-Bischoff, Stefan Luther, Ulrich Parlitz
Nonlinear system identification employing automatic differentiation
Article in Communications in Nonlinear Science and Numerical Simulation, Elsevier, 2013
Application Area:
Data Assimilation
Tools:
ADOL-C
M. Ulbrich
Nonsmooth Newton-like Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces, Habilitationsschrift
Fakultät für Mathematik, Technische Universität München, 2002
Application Area:
Computational Fluid Dynamics
Tools:
TAMC
Theory & Techniques:
Adjoint
Claude Lemaréchal, R. Mifflin
Nonsmooth Optimization
Conference proceeding, Proceedings of a IIASA Workshop, Pergamon Press, 1977
not yet classified
Etienne Forest, Martin Berz, J. Irwin
Normal Form Methods For Complicated Periodic Systems: A Complete Solution Using Differential Algebra and Lie Operators
Article in Particle Accelerators, 1989
not yet classified
Masao Iri, Kuichi Kubota
Norms, Rounding Errors, Partial Derivatives and Fast Automatic Differentiation
Article in IEICE Transactions, 1991
not yet classified
Pascal Van Hentenryck, Laurent Michel, Yves Deville
Numerica: A Modeling Language for Global Optimization
MIT Press, 1997
not yet classified
J. N. Lyness
Numerical Algorithms Based on the Theory of Complex Variable
Conference proceeding, Proceedings of the 1967 22nd National Conference, Association for Computing Machinery, 1967
Theory & Techniques:
Complex Step Differentiation
L. Grandinetti, D. Conforti
Numerical Comparisons of Nonlinear Programming Algorithms on Serial and Vector Processors Using Automatic Differentiation
Article in Mathematical Programming, 1988
Theory & Techniques:
Parallelism
Virginie De Witte, Willy Govaerts
Numerical computation of normal form coefficients of bifurcations of ODEs in MATLAB
Article in Discrete and Continous Dynamical Systems Supplements, 2011
Tools:
MatCont
Theory & Techniques:
Taylor Arithmetic
Harriet Kagiwada, Robert Kalaba, Nima Rasakhoo, Spingarn Karl
Numerical Derivatives and Nonlinear Analysis
Plenum Press, Inc., 1985
not yet classified
S. Horton
Numerical Derivatives: A Comparative Study
Master thesis, Mathematics Department, University of Southern California, 1989
not yet classified
J. N. Lyness, C. B. Moler
Numerical Differentiation of Analytic Functions
Article in SIAM Journal on Numerical Analysis, 1967
Theory & Techniques:
Complex Step Differentiation

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