Forward, Tangent Linear, and Adjoint Runge-Kutta Methods in KPP–2.2

DOI10.1007/11758532_18zbMath1157.80405OpenAlexW1501959208MaRDI QIDQ5503224

Adrian Sandu, Philipp Miehe

Publication date: 13 January 2009

Published in: Computational Science – ICCS 2006 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/11758532_18

Mathematics Subject Classification ID

Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations (65L06) Chemical kinetics in thermodynamics and heat transfer (80A30) Packaged methods for numerical algorithms (65Y15)

Related Items (4)

Forward, tangent linear, and adjoint Runge–Kutta methods for stiff chemical kinetic simulations ⋮ Solving parameter estimation problems with discrete adjoint exponential integrators ⋮ Forward and adjoint sensitivity analysis with continuous explicit Runge-Kutta schemes ⋮ AutoMat: automatic differentiation for generalized standard materials on GPUs

Uses Software

• Matlab
• ODESSA
• VODE
• RODAS
• LSODE
• KPP

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