Nonlinear root finding, equilibrium and steady-state analysis of ordinary differential equations
Routines to find the root of nonlinear functions, and to perform steady-state and equilibrium analysis of ordinary differential equations (ODE).
Includes routines that: (1) generate gradient and Jacobian matrices (full and banded)
(2) find roots of non-linear equations by the Newton-Raphson method,
(3) estimate steady-state conditions of a system of (differential) equations in full, banded or sparse form, using the Newton-Raphson method.
(4) solve the steady-state conditions for uni-and multicomponent 1-D and 2-D reactive transport models (boundary value problems of ODE).
Includes fortran code.

Routines to find the root of nonlinear functions, and to perform steady-state and equilibrium analysis of ordinary differential equations (ODE).
Includes routines that: (1) generate gradient and Jacobian matrices (full and banded),
(2) find roots of non-linear equations by the Newton-Raphson method,
(3) estimate steady-state conditions of a system of (differential) equations in full, banded or sparse form, using the Newton-Raphson method, or by dynamically running,
(4) solve the steady-state conditions for uni-and multicomponent 1-D and 2-D reactive transport models (boundary value problems of ODE) using the method of lines approach.
Includes fortran code.

Nonlinear root finding, equilibrium and steady-state analysis of
ordinary differential equations
Routines to find the root of nonlinear functions, and to
perform steady-state and equilibrium analysis of ordinary
differential equations (ODE). Includes routines that: (1)
generate gradient and Jacobian matrices (full and banded), (2)
find roots of non-linear equations by the Newton-Raphson
method, (3) estimate steady-state conditions of a system of
(differential) equations in full, banded or sparse form, using
the Newton-Raphson method, or by dynamically running, (4) solve
the steady-state conditions for uni-and multicomponent 1-D,
2-D, and 3-D partial differential equations, that have been
converted to ODEs by numerical differencing (using the
method-of-lines approach). Includes fortran code.