Suchergebnisse - trust region-sequential quadratic programming algorithm

A new trust region-sequential quadratic programming approach for nonlinear systems based on nonlinear model predictive control von Sun, Z.B., Sun, Y.Y., Li, Y., Liu, K.P.

“… The method incorporates a combination algorithm that allows both the trust region technique and the sequential quadratic programming method to be used …”
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A Feasible Trust-Region Sequential Quadratic Programming Algorithm von Wright, Stephen J., Tenny, Matthew J.

“… An algorithm for smooth nonlinear constrained optimization problems is described, in which a sequence of feasible iterates is generated by solving a trust-region sequential quadratic programming (SQP …”
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A restoration-free filter SQP algorithm for equality constrained optimization von Zhu, Xiaojing, Pu, Dingguo

“… In this paper, a trust-region sequential quadratic programming algorithm with a modified filter acceptance mechanism is proposed for nonlinear equality constrained optimization …”
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A multiplicative regularized Gauss-Newton method with trust region Sequential Quadratic Programming for structural model updating von Mazzotti, Matteo, Mao, Qiang, Bartoli, Ivan, Livadiotis, Stylianos

“… •A trust region Sequential Quadratic Programming with bound constraints is used.•The size of the trust region is a parameter of the regularization functional …”
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Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems von Fang, Yuchen, Sen, Na, Mahoney, Michael W, Kolar, Mladen

“… We propose a trust-region stochastic sequential quadratic programming algorithm (TR-StoSQP) to solve nonlinear optimization problems with stochastic objectives and deterministic equality constraints …”
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A Novel Superlinearly Convergent Trust Region-Sequential Quadratic Programming Approach for Optimal Gait of Bipedal Robots Via Nonlinear Model Predictive Control von Sun, Zhongbo, Zhang, Bangcheng, Sun, Yingyi, Pang, Zaixiang, Cheng, Chao

“… A type of trust region-sequential quadratic programming (TRSQP) approach with superlinearly convergent property is first proposed, investigated, and implemented on bipedal robots based on nonlinear model predictive control (NMPC …”
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On the Global Convergence of a Projective Trust Region Algorithm for Nonlinear Equality Constrained Optimization von Pei, Yong Gang, Zhu, De Tong

“… A trust-region sequential quadratic programming (SQP) method is developed and analyzed for the solution of smooth equality constrained optimization problems …”
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Optimal power flow algorithm and analysis in distribution system considering distributed generation von Sheng, Wanxing, Liu, Ke-yan, Cheng, Sheng

“… To solve such a non-convex problem, the trust-region sequential quadratic programming (TRSQP) method is proposed, which iteratively approximates the OPF by a quadratic programming with the trust-region guidance …”
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The Trust Region Sequential Quadratic Programming method applied to two-aircraft acoustic optimal control problem von Khardi, Salah, Nahayo, Fulgence, Haddou, Mounir

“… Constraints related to stability, performance and ight safety are taken into account. The problem of optimal control is described and solved by a Sequential Quadratic Programming numerical method 'SQP' when globalized by the trust region method …”
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Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programming von Cheng, Xiaoran, Sen, Na

“… ). This paper addresses the failure modes of PINNs by introducing a novel, hard-constrained deep learning method -- trust-region Sequential Quadratic Programming (trSQP-PINN …”
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Buckling and shape control of prestressable trusses using optimum number of actuators von Manguri, Ahmed, Saeed, Najmadeen, Szczepanski, Marcin, Jankowski, Robert

“… This paper describes a method to control the nodal displacement of prestressable truss structures within the desired domains. At the same time, the stress in …”
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A First-Order Convergence Analysis of Trust-Region Methods with Inexact Jacobians von Walther, Andrea

“… A class of trust-region sequential quadratic programming algorithms for the solution of minimization problems with nonlinear equality constraints is analyzed …”
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A Simulation-Based Method for Optimizing Remote Park-and-Ride Schemes von Yin, Ruyang, Mo, Pengli, Zheng, Nan, Xu, Qiujie

“… A hybrid algorithm integrating Bayesian optimization, branch and bound, and trust region sequential quadratic programming is proposed to achieve an optimal solution …”
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A feasible trust-region algorithm for inequality constrained optimization von Peng, Ye-hui, Yao, Shengbao

“… The paper presents an algorithm for smooth nonlinearly inequality constrained optimization problems, in which a sequence of feasible iterates is generated by a trust-region sequential quadratic …”
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Stochastic radial basis function algorithms for large-scale optimization involving expensive black-box objective and constraint functions von Regis, Rommel G.

“… This paper presents a new algorithm for derivative-free optimization of expensive black-box objective functions subject to expensive black-box inequality constraints …”
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A Matrix-Free Trust-Region SQP Method for Equality Constrained Optimization von Heinkenschloss, Matthias, Ridzal, Denis

“… We develop and analyze a trust-region sequential quadratic programming (SQP) method for the solution of smooth equality constrained optimization problems, which allows the inexact and hence iterative solution of linear systems …”
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Nonlinear Programming Approximations of Chance Constraints von Pena-Ordieres, Alejandra

“… Constrained optimization problems are prevalent in all areas of science and engineering, and many well-known numerical methods have been developed to solve …”
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Numerical Methods in Noisy, Stochastic, Nonlinear Optimization von Sun, Shigeng

“… Our objective in this thesis is to design practical algorithms with solid theoretical assurances for tackling noisy nonlinear optimization problems, both in the presence and absence of constraints …”
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A Trust Region SQP Method for Coordinated Voltage Control in Smart Distribution Grid von Sheng, Wanxing, Liu, Ke-yan, Cheng, Sheng, Meng, Xiaoli, Dai, Wei

“… To solve the mixed integer nonlinear programming problem, the trust region sequential quadratic programming …”
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Nonlinear programming without a penalty function von Fletcher, Roger, Leyffer, Sven

“… In this paper the solution of nonlinear programming problems by a Sequential Quadratic Programming (SQP …”
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