A noise-tolerant SQP method with relaxations achieves global convergence and solution accuracy proportional to the noise level for inequality-constrained problems.
An algo- rithm for nonlinear optimization using linear programming and equality constrained subproblems.Mathematical Programming, 100(1):27–48
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A Noise Tolerant SQP Algorithm for Inequality Constrained Optimization
A noise-tolerant SQP method with relaxations achieves global convergence and solution accuracy proportional to the noise level for inequality-constrained problems.