The Sequential Quadratic Programming Method 177 3.2 Second Order Conditions for the ENLP Problem Let x? solve the ENLP and let rank(A? ) = m (regularity). Then we have seen that (3.5) is an equivalent reduced unconstrained minimization problem. Thus, from Section 2.2, a second order ...
R. Fletcher. The sequential quadratic programming method. Number pp. 165-214 in Nonlinear Optimization, Lecture Notes in Mathematics,. Springer Berlin Heidelberg, 2010.Fletcher, R. (2010). The sequential quadratic programming method, in G. Di Pillo and F. Schoen (Eds.), Nonlinear Optimization,...
Sequential quadratic programming Sequential Ranking Test Sequential Reachability Graph Generation Sequential Reactive Barrier Sequential Regime Shift Detector Sequential Regression Multiple Imputation Sequential Resonant Tunneling Sequential Response Vector Sequential Rotation Array ...
Han, “A robust sequential quadratic programming method,”Mathematical Programming 43 (1989) 277–303. Google Scholar S.C. Choi, W. DeSarbo and P.T. Harker, “Product positioning under price competition,”Management Science 36 (1990) 175–199. Google Scholar F.H. Clarke,Optimization and ...
The optimization was performed using thefminconfunction in Matlab to minimize the cost function shown above using the sequential quadratic programming (sqp) algorithm. There were no additional constraints imposed on this optimization. The results shown in Figs.2–4contain results from an optimized eight...
Moreover, the hybrid methods combining two or more approaches have been applied to solve this problem, among them: the bee colony optimization and the sequential quadratic programming (BCO-SQP) in [11], the EP-SQP in [2], the PSO-SQP in [7], the modified hybrid EP-SQP (MHEP-SQP) ...
The resulting nonlinear problems are solved using sequential quadratic programming methods. We review the classical condensing algorithm that preprocesses the large but structured quadratic programs (QPs) to obtain small but dense ones. We show that this approach leaves room for improvement when applied...
Recently, we have developed a sequential LCP (SLCP) algorithm for the solution of the linear bilevel programming problem (LBLP). The SLCP algorithm consists of solving a sequence of linear complementarity problems (LCP) by a hybrid enumerative method. We show that the SLCP algorithm can ...
最有这个问题被构建成了非线性优化问题,通过SQP求解,说实话在论文推土机:Robust Online Path Planning for Autonomous Vehicle Using Sequential Quadratic Programming我们就尝试了SQP的方案,他的最大的问题在于耗时比QP显著增加,需要通过很多工程化方法进行加速,经验告诉我们能用QP别用SQP。所以这部分的非线性优化问题我认...
Given the defined quantities and constraints, the function f(B) has been minimized by means of the Sequential Least SQuares Programming (SLSQP) minimization procedure14. The solution of the minimization problem returns the vector B min . From this vector, it is easy to obtain the system flows ...