A Fast Algorithm For Nonlinearly Constrained Optimization Calculations
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Constrained Nonlinear Optimization Algorithms - MATLAB
- https://www.mathworks.com/help/optim/ug/constrained-nonlinear-optimization-algorithms.html
- A nonlinearly constrained problem can often be solved in fewer iterations than an unconstrained problem using SQP. One of the reasons for this is that, because of limits on the feasible area, the optimizer can make …
A Computationally Efficient Feasible Sequential Quadratic …
- https://epubs.siam.org/doi/abs/10.1137/S1052623498344562
- A sequential quadratic programming (SQP) algorithm generating feasible iterates is described and analyzed. What distinguishes this algorithm from previous feasible SQP …
Sequential Quadratic Programming * | Acta Numerica
- https://www.cambridge.org/core/journals/acta-numerica/article/abs/sequential-quadratic-programming/24D393EF4A567C0CB861A4D55E2A2A42
- Since its popularization in the late 1970s, Sequential Quadratic Programming (SQP) has arguably become the most successful method for solving nonlinearly constrained optimization problems. As with most optimization methods, SQP is not a single algorithm, but rather a conceptual method from which numerous …
Nonlinear Constrained Optimization: Methods and Software
- https://wiki.mcs.anl.gov/leyffer/images/7/75/NLP-Solvers.pdf
- Nonlinearly constrained optimization problems (NCOs) are an important class of problems with a broad range of engineering, scientific, and operational applications. For …
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