Nonlinear Root Finding, Equilibrium and Steady-State Analysis of Ordinary Differential Equations
Estimates the gradient matrix for a simple function
Estimates the hessian matrix
Banded jacobian matrix for a system of ODEs (ordinary differential equ...
Full square jacobian matrix for a system of ODEs (ordinary differentia...
Solves for n roots of n (nonlinear) equations, created by discretizing...
Solves for n roots of n (nonlinear) equations.
Plot and Summary Method for steady1D, steady2D and steady3D Objects
Roots and steady-states
Dynamically runs a system of ordinary differential equations (ODE) to ...
Steady-state solver for multicomponent 1-D ordinary differential equat...
Steady-state solver for 2-Dimensional ordinary differential equations
Steady-state solver for 3-Dimensional ordinary differential equations
Steady-state solver for ordinary differential equations; assumes a ban...
General steady-state solver for a set of ordinary differential equatio...
Iterative steady-state solver for ordinary differential equations (ODE...
Steady-state solver for ordinary differential equations (ODE) with a s...
Finds many (all) roots of one equation within an interval
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.