The answer depends on the nature of the equations. For a system of linear equations, the [generalised] inverse matrix is probably simplest.
For a mix of linear and non-linear equations the options include substitution, graphic methods, iteration and numerical approximations. The latter includes trail and improvement.
Then there are multi-dimensional versions of "steepest descent".
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there are three methods: combination, substitution and decomposition.
There are more than two methods, and of these, matrix inversion is probably the easiest for solving systems of linear equations in several unknowns.
Equations are used to find the solution to the unknown variable.
Equals divided by non-zero equals are equal.
the sum of a number and 16 is equal tu 45