Výsledky vyhľadávania - combined smoothing nonlinear programming algorithm

A Generalized Projetion Gradient Algorithm for Mathematical Programs with Complementary Constraints Autor Zhang, Cong, Sun, Limin, Xiao, Ya

“…Against the shortcomings that many existing algorithms for solving the standard smoothing nonlinear programming would fail if they were used directly to solve the mathematical programs with complementary constraints( MPCC…”
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Robust Low-Thrust Trajectory Optimization Using Convex Programming and a Homotopic Approach Autor Morelli, Andrea Carlo, Hofmann, Christian, Topputo, Francesco

“… A homotopic approach that considers the energy-to-fuel smoothing path is combined with an adaptive second-order trust-region mechanism to increase performance…”
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Weighted Combined Water Level Prediction Based on Nonlinear Programming Genetic Algorithm Autor Wang, Congyou, Cuan, Wanbing, Jia, Lu

“…) Model, Exponential Smoothing (ES) model and Long Short-term Memory (LSTM) model through nonlinear programming genetic algorithm is proposed in this paper…”
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A spline smoothing homotopy method for nonconvex nonlinear programming Autor Dong, Li, Yu, Bo, Zhao, Guohui

“… In this paper, a spline smoothing homotopy method for nonconvex nonlinear programming is developed using cubic spline to smooth the max function of the constraints of nonlinear programming…”
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Microgrids Autor Guerrero, Josep M

“…Electrical power systems are evolving at the generation, transmission, and distribution levels. At distribution level, small generating and storage units—the…”
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A Combined Smoothing and Regularization Method for Monotone Second-Order Cone Complementarity Problems Autor Hayashi, Shunsuke, Yamashita, Nobuo, Fukushima, Masao

“…) and the second-order cone programming problem (SOCP). Recently, Fukushima, Luo, and Tseng [SIAM J. Optim., 12 (2001), pp. 436--460] extended some merit functions and their smoothing functions for NCP to SOCCP…”
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Reinforcement learning, Sequential Monte Carlo and the EM algorithm Autor BORKAR, VIVEK S, JAIN, ANKUSH V

“…Using the expression for the unnormalized nonlinear filter for a hidden Markov model, we develop a dynamic-programming-like backward recursion for the filter…”
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Enhancing Voltage, Reliability, and Demand Balance via Combined Model of Distributed Generation Allocation and Distribution System Reconfiguration Autor Sabzevari, Kiomars, Mohammadi, Keyvan, Ahmadi, Monireh

“… The problem type is mixed-integer nonlinear programming (MINLP) and is subject to various limitations imposed by, for example, the operating status of DGs, demand equilibrium, bus voltages, and power passing on the distribution lines…”
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A Medical Image Segmentation Method With Anti-Noise and Bias-Field Correction Autor Xu, Hong, Ye, Caizeng, Zhang, Fan, Li, Xuemei, Zhang, Caiming

“…Brain magnetic resonance images (MRI) are affected by noise and bias field, which make the traditional FCM algorithm unable to segment tissue regions of MR images accurately…”
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A two-stage energy management strategy for hybrid ship power systems considering the dynamic output characteristics of batteries Autor Yang, Qi, Zhang, Shengchao, Zhao, Wenhai, Tao, Jie, Lu, Xiqun, Meng, Chao, Zhao, Yingru, Zhang, Hengcheng, Zhao, Guofeng, Jiang, Chenxing, Li, Wanyou

“… A two-stage energy management strategy combining mixed-integer nonlinear programming (MINLP) and model predictive control…”
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A note on the spectral gradient projection method for nonlinear monotone equations with applications Autor Abubakar, Auwal Bala, Kumam, Poom, Mohammad, Hassan

“…In this work, we provide a note on the spectral gradient projection method for solving nonlinear equations…”
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The Flattened Aggregate Constraint Homotopy Method for Nonlinear Programming Problems with Many Nonlinear Constraints Autor Zhou, Zhengyong, Yu, Bo

“… when the number of constraint functions is very large. In order to improve the performance of the aggregate constraint homotopy method for solving nonlinear programming problems, with few variables and many nonlinear…”
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Local Minimax Learning of Functions With Best Finite Sample Estimation Error Bounds: Applications to Ridge and Lasso Regression, Boosting, Tree Learning, Kernel Machines, and Inverse Problems Autor Jones, L.K.

“… such as smoothing splines and kernel regularization. The bounds and improved algorithms are not based on asymptotics or Bayesian assumptions and are truly local for each query…”
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Simulation and optimization for metal-forming processes: Cutting, rolling, and extrusion Autor Tyan, Tau

“…Three different manufacturing processes, orthogonal metal cutting with a controlled contact tool, plane strain rolling and extrusion die optimization have been…”
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Integration and Control of Battery Energy Storage and Inverter to Provide Grid Services Autor Nazaripouya, Hamidreza

“…This dissertation develops and implements a methodology for integration, and real-time control of battery energy storage and grid-tie inverter to provide grid…”
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Techniques for parameter estimation, simulation, and optimization of dynamic electrochemical systems Autor Stamps, Andrew Timothy

“… In the first, a new algorithm is proposed for tracking slow parameter drift in long-running periodic or repeated batch systems…”
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Solution of nonsmooth and inequality constrained problems in process simulation and optimization Autor Gopal, Vipin

“… Conversion of the equation solving problem to an optimization problem and solution of the resulting nonlinear program using Successive Linear Programming (SLP…”
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