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A FAMILY OF SUPERMEMORY GRADIENT PROJECTION METHODS FOR CONSTRAINED OPTIMIZATION

机译：一类约束优化的超级梯度投影方法

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Y. J. Wanga; C. Y. Wanga; N. H. Xiuc;
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1. Convergence of the gradient projection method and Newton's method as applied to optimization problems constrained by intersection of a spherical surface and a convex closed set [J] . Chernyaev Yu. A. Computational mathematics and mathematical physics . 2016,第10期

机译：梯度投影法和牛顿法在收敛于球面与凸封闭集相交约束的最优化问题中的收敛性
2. SINGULAR RIEMANNIAN BARRIER METHODS AND GRADIENT-PROJECTION DYNAMICAL SYSTEMS FOR CONSTRAINED OPTIMIZATION [J] . H. ATTOUCH, J. BOLTE, P. REDONT, Optimization: A Journal of Mathematical Programming and Operations Research . 2004,第5a6期

机译：约束优化的奇异Riemannian Barrier方法和梯度投影动力学系统
3. A generalized super-memory gradient projection method of strongly sub-feasible directions with strong convergence for nonlinear inequality constrained optimization [J] . Jin-Bao Jian, You-Fang Zeng, Chun-Ming Tang Computers & mathematics with applications . 2007,第4期

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4. A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems [C] . Serena Crisci, Federica Porta, Valeria Ruggiero, International conference on mumerical computations: theory and algorithms . 2020

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5. A new hierarchical multiscale optimization method: Gradient and non-gradient approaches for waterflooding optimization. [D] . Oliveira, Diego Felipe Barbosa de. 2014

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6. Regularized gradient-projection methods for finding the minimum-norm solution of the constrained convex minimization problem [O] . Ming Tian, Hui-Fang Zhang -1

机译：寻找约束凸最小化问题最小范数解的正则梯度投影方法
7. A generalized super-memory gradient projection method of strongly sub-feasible directions with strong convergence for nonlinear inequality constrained optimization [O] . Jian Jin-Bao, Zeng You-Fang, Tang Chun-Ming 2007

机译：非线性不等式约束优化的强次可行方向强收敛的广义超记忆梯度投影方法
8. Gradient Projection Method for Constrained Optimization [R] . Cross, K. E. 1968

机译：约束优化的梯度投影法

A FAMILY OF SUPERMEMORY GRADIENT PROJECTION METHODS FOR CONSTRAINED OPTIMIZATION

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