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.

Karline Soetaert [aut, cre],
yale sparse matrix package authors [cph]
c(person("Karline","Soetaert", role = c("aut", "cre"),
email = "karline.soetaert@nioz.nl"),
person("yale sparse matrix package authors", role = "cph"))
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.

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 ordinary differential equations
by numerical differencing (using the method-of-lines approach).
Includes fortran code.