This paper is intended as a tutorial paper for a general scientific audience to introduce to users a unique methodology for accurately and realistically solving dynamical systems which may be strongly nonlinear and involve stochastic processes in inputs, coefficients, or initial or boundary conditions and special cases such as linear, weakly nonlinear, deterministic, etc., as well. It has distinct advantages over perturbative or hierarchy methods and methods of numerical analysis and is applicable to algebraic equations (polynomial, transcendental, matrix), differential equations, systems of coupled (nonlinear and/or stochastic) differential equations, and (nonlinear and/ or stochastic) partial differential equations. Because the methods are applicable to a very wide class of problems in physics, economics, biology and medicine, engineering and technology, the presentation is intended to be accesible to all rather than for applied mathematicians only.
