Applying Analytical Derivative and Sparse Matrix Techniques to Large-Scale Process Optimization Prob

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The performance of analytical derivative and sparse matrix techniques applied to a traditional dense sequential quadratic programming (SQP) is studied, and the strategy utilizing those techniques is also presented.Computational results on two typical chem
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