An always convergent algorithm for global minimization of multivariable continuous functions

We develop and test a Bolzano or bisection type global optimization algorithm for continuous real functions over a rectangle. The suggested method combines the branch and bound technique with an always convergent solver of underdetermined nonlinear equations. The numerical testing of the algorithm is discussed in detail.