Real-life problems are governed by equations which are nonlinear in nature.
Nonlinear equations occur in modeling problems, such as minimizing costs in
industries and minimizing risks in businesses. A technique which does not
involve the assumption of existence of a real constant whose calculation is
unclear is used to obtain a strong convergence result for nonlinear equations
of (p, {\eta})-strongly monotone type, where {\eta} > 0, p > 1. An example is
presented for the nonlinear equations of (p, {\eta})-strongly monotone type. As
a consequence of the main result, the solutions of convex minimization and
variational inequality problems are obtained. This solution has applications in
other fields such as engineering, physics, biology, chemistry, economics, and
game theory.Comment: 11 page