Search Results - convergence of a sequential quadratic programming algorithm~

A superlinear convergence feasible sequential quadratic programming algorithm for bipedal dynamic walking robot via discrete mechanics and optimal control by Sun, Zhongbo, Tian, Yantao, Li, Hongyang, Wang, Jing

“…Summary For periodic gait optimization problem of the bipedal walking robot, a class of global and feasible sequential quadratic programming algorithm (FSQPA…”
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A superlinear convergence feasible sequential quadratic programming algorithm for bipedal dynamic walking robot via discrete mechanics and optimal control: FEASIBLE SEQUENTIAL QUADRATIC PROGRAMMING ALGORITHM by Sun, Zhongbo, Tian, Yantao, Li, Hongyang, Wang, Jing

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A Strategy for Global Convergence in a Sequential Quadratic Programming Algorithm by Boggs, Paul T., Tolle, Jon W.

“…In a previous work [P. Boggs and J. Tolle, SIAM J. Numer. Anal., 21 (1984), pp. 1146-1161], the authors introduced a merit function for use with the sequential quadratic programming…”
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Improved SQP and SLSQP algorithms for feasible path-based process optimisation by Ma, Yingjie, Gao, Xi, Liu, Chao, Li, Jie

“… The sequential quadratic programming (SQP) algorithm is usually used to drive the feasible path algorithms towards optimality…”
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On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control by Na, Sen, Shin, Sungho, Anitescu, Mihai, Zavala, Victor M.

“… We also establish global convergence results for a general quadratic programming, which enables the application of the Schwarz scheme inside second-order optimization algorithms (e.g…”
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Integrated intelligent computing paradigm for the dynamics of micropolar fluid flow with heat transfer in a permeable walled channel by Mehmood, Ammara, Afsar, Khan, Zameer, Aneela, Awan, Saeed Ehsan, Raja, Muhammad Asif Zahoor

“… competency of neural networks, global search of genetic algorithms, and rapid local convergence of sequential quadratic programming…”
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A Combined Inverse Kinematics Algorithm Using FABRIK with Optimization by Xu, Zichun, Li, Yuntao, Yang, Xiaohang, Zhao, Zhiyuan, Zhao, Jingdong, Liu, Hong

“… Hence, this paper presents a novel inverse kinematics algorithm that combines FABRIK and the sequential quadratic programming…”
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Stabilized sequential quadratic programming for optimization and a stabilized Newton-type method for variational problems by Fernández, Damián, Solodov, Mikhail

“…The stabilized version of the sequential quadratic programming algorithm (sSQP) had been developed in order to achieve fast convergence despite possible…”
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Sharp Primal Superlinear Convergence Results for Some Newtonian Methods for Constrained Optimization by Fernández, D., Izmailov, A. F., Solodov, M. V.

“… Primal convergence, however, is often of particular interest. For the sequential quadratic programming (SQP…”
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Accelerating convergence of a globalized sequential quadratic programming method to critical Lagrange multipliers by Izmailov, A. F.

“…This paper concerns the issue of asymptotic acceptance of the true Hessian and the full step by the sequential quadratic programming algorithm for equality-constrained optimization problems…”
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A second-order sequential optimality condition for nonlinear second-order cone programming problems by Fukuda, Ellen H., Okabe, Kosuke

“…In the last two decades, the sequential optimality conditions, which do not require constraint qualifications and allow improvement on the convergence assumptions of algorithms, had been considered in the literature…”
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Bio-inspired computational heuristics to study Lane–Emden systems arising in astrophysics model by Ahmad, Iftikhar, Raja, Muhammad Asif Zahoor, Bilal, Muhammad, Ashraf, Farooq

“… with sequential quadratic programming for rapid local convergence. The results of proposed solvers for solving the nonlinear singular systems are in good agreements with the standard solutions. Accuracy and convergence the design schemes are demonstrated by the results of statistical performance measures based on the sufficient large number of independent runs…”
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A nonmonotone filter method for nonlinear optimization by Shen, Chungen, Leyffer, Sven, Fletcher, Roger

“…We propose a new nonmonotone filter method to promote global and fast local convergence for sequential quadratic programming algorithms…”
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Sequential Quadratic Programming with Penalization of the Displacement by Bonnans, J. F., Launay, G.

“…In this paper we study the convergence of a sequential quadratic programming algorithm for, the nonlinear programming problem…”
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A new norm-relaxed SQP algorithm with global convergence by Zheng, Hai-Yan, Jian, Jin-Bao, Tang, Chun-Ming, Quan, Ran

“…A new norm-relaxed sequential quadratic programming algorithm with global convergence for inequality constrained problem is presented in this paper, and the quadratic programming subproblem…”
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Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence by Wächter, Andreas, Biegler, Lorenz T.

“… The presented framework is applied to active set sequential quadratic programming (SQP) and barrier interior point algorithms…”
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Adjoint-based SQP method with block-wise quasi-Newton Jacobian updates for nonlinear optimal control by Hespanhol, Pedro, Quirynen, Rien

“… This paper provides a local convergence analysis for the recently proposed adjoint-based sequential quadratic programming (SQP…”
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Solution of the one-dimensional Bratu equation arising in the fuel ignition model using ANN optimised with PSO and SQP by Raja, Muhammad Asif Zahoor

“… The neural networks were optimised with the particle swarm optimisation algorithm hybridised with sequential quadratic programming…”
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Globalizing Stabilized Sequential Quadratic Programming Method by Smooth Primal-Dual Exact Penalty Function by Izmailov, A. F., Solodov, M. V., Uskov, E. I.

“… The advantage with respect to the classical sequential quadratic programming is that no constraint qualifications are required for fast local convergence (i.e…”
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Two New Weak Constraint Qualifications and Applications by Andreani, Roberto, Haeser, Gabriel, Schuverdt, María Laura, Silva, Paulo J. S.

“…We present two new constraint qualifications (CQs) that are weaker than the recently introduced relaxed constant positive linear dependence (RCPLD) CQ. RCPLD…”
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