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Merchan Restrepo, Victor Alejandro
Efficient Implementation of Advanced Molecularly-based Equation of State Models out of the Documentation Level
Ph.D. thesis, Fakultät Prozesswissenschaften, Technische Universität Berlin, 2019
Application Area:
Process Engineering
Tools:
ADiMat, CasADi
Benjamin Jurgelucks
Increased sensitivity in parameter identification problems for piezoelectrics
Ph.D. thesis, Fakultät für Elektrotechnik, Informatik und Mathematik, Universität Paderborn, 2019
Application Area:
Electrical Engineering
Tools:
ADiMat, ADOL-C
Atiyah Elsheikh
Dynamic Parameter Sensitivities: Summary of Computation Methods for Continuous-time Modelica Models
Modelica'2019: The 13th International Modelica Conference, 2019
Application Area:
Differential-Algebraic Equation
Tools:
ADModelica
Theory & Techniques:
Equation-based AD
Corina Nentwich, Sebastian Engell
Surrogate modeling of phase equilibrium calculations using adaptive sampling
Article in Computers & Chemical Engineering, 2019
Application Area:
Chemistry
Tools:
ADiMat
Lothar Birk, T. Luke McCulloch
Robust generation of constrained B-spline curves based on automatic differentiation and fairness optimization
Article in Computer Aided Geometric Design, 2018
Application Area:
Computer Aided Geometric Design
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
Atiyah Elsheikh, Wolfgang Wiechert
The structural index of sensitivity equation systems
Article in Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis, 2018
Application Area:
Differential-Algebraic Equation
Theory & Techniques:
Equation-based AD
Antoine Savine
Modern Computational Finance: AAD and Parallel Simulations
Wiley, 2018
Application Area:
Finance
Jeffrey Mark Siskind, Barak A. Pearlmutter
Divide-and-conquer checkpointing for arbitrary programs with no user annotation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Viktor Mosenkis, Uwe Naumann
On lower bounds for optimal Jacobian accumulation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Shahadat Hossain, Nasrin Hakim Mithila
Pattern graph for sparse Hessian matrix determination
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Markus Towara, Uwe Naumann
SIMPLE adjoint message passing
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Valérie Pascual, Laurent Hascoët
Mixed-language automatic differentiation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Kshitij Kulshreshtha, Sri Hari Krishna Narayanan, Julie Bessac, Kaitlyn MacIntyre
Efficient computation of derivatives for solving optimization problems in R and Python using SWIG-generated interfaces to ADOL-C
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Koichi Kubota
Enumeration of subdifferentials of piecewise linear functions with abs-normal form
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Kamil A. Khan
Branch-locking AD techniques for nonsmooth composite functions and nonsmooth implicit functions
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Andreas Griewank, Tom Streubel, Lutz Lehmann, Manuel Radons, Richard Hasenfelder
Piecewise linear secant approximation via algorithmic piecewise differentiation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Andreas Griewank, Richard Hasenfelder, Manuel Radons, Lutz Lehmann, Tom Streubel
Integrating Lipschitzian dynamical systems using piecewise algorithmic differentiation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Sabrina Fiege, Andrea Walther, Kshitij Kulshreshtha, Andreas Griewank
Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Paul I. Barton, Kamil A. Khan, Peter Stechlinski, Harry A. J. Watson
Computationally relevant generalized derivatives: theory, evaluation and applications
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified

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