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A new double trust regions SQP method without a penalty function or a filterDOI: 10.1590/s1807-03022012000200011 Keywords: equality constrained optimization , trust-region , SQP , global convergence Abstract: A new trust-region SQP method for equality constrained optimization is considered. This method avoids using a penalty function or a filter, and yet can be globally convergent to first-order critical points under some reasonable assumptions. Each SQP step is composed of a normal step and a tangential step for which different trust regions are applied in the spirit of Gould and Toint [Math. Program., 122 (2010), pp. 155-196]. Numerical results demonstrate that this new approach is potentially useful. Mathematical subject classification: 65K05, 90C30, 90C55.
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