Sequential quadratic programming (SQP) is an iterative method used for nonlinear optimization problems where the objective function and constraints can be nonlinear. It works by solving a series of quadratic programming subproblems, which approximates the original nonlinear problem, to find a solution that satisfies both the objective and constraint functions. This method is particularly effective because it can handle complex constraints and provides a framework for convergence towards optimal solutions efficiently.
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