Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Consistency and stability for some nonnegativity-conserving methods
Applied Numerical Mathematics
Method of lines and direct discretization: a comparison for linear advection
Applied Numerical Mathematics
Gauss-Seidel iteration for stiff odes from chemical kinetics
SIAM Journal on Scientific Computing
A positive finite-difference advection scheme
Journal of Computational Physics
Applied Numerical Mathematics
Iterative solution methods
Matrix computations (3rd ed.)
The iterative solution of fully implicit discretizations of three-dimensional transport models
Applied Numerical Mathematics - Special issue on time integration
Positivity of Runge-Kutta and diagonally split Runge-Kutta methods
Applied Numerical Mathematics - Selected papers on eighth conference on the numerical treatment of differential equations 1-5 September 1997, Alexisbad, Germany
Approximate factorization for time-dependent partial differential equations
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. VII: partial differential equations
Positive numerical integration methods for chemical kinetic systems
Journal of Computational Physics
Partially Implicit BDF2 Blends for Convection Dominated Flows
SIAM Journal on Numerical Analysis
Operator splitting and approximate factorization for taxis-diffusion-reaction models
Applied Numerical Mathematics
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
A second-order, unconditionally positive, mass-conserving integration scheme for biochemical systems
Applied Numerical Mathematics
Nonstandard finite-difference methods for predator-prey models with general functional response
Mathematics and Computers in Simulation
Journal of Computational and Applied Mathematics
Positivity and Conservation Properties of Some Integration Schemes for Mass Action Kinetics
SIAM Journal on Numerical Analysis
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In the present paper, numerically robust, unconditionally positive and conservative schemes for the discretisation of stiff systems of production-destruction equations are designed. Such model systems do typically arise in geobiochemical modelling where the reproduction of these properties is vital. We suggest modified Patankar-type methods of first- and second-order in time and compare their performance by means of approximating simple linear and non-linear model problems. For the non-linear model problem, a hybrid method combining the classical Runge-Kutta scheme with a modified Patankar-type scheme gives the best numerical approximation. The classical Robertson test problem for chemical reactions which is known for its stiffness is excellently approximated with the modified Patankar-type scheme. The procedure with respect to the derivation and analysis of the modified Patankar-type schemes can be used as a guideline to develop even unconditionally positive, conservative and third-order as well as higher order methods.