Projected gradient trust-region method for solving nonlinear systems with convex constraints

Jia Chunxia; Detong Zhu

doi:10.1007/s11766-011-1956-7

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Projected gradient trust-region method for solving nonlinear systems with convex constraints

Jia Chunxia Detong Zhu

Year: 2011 Journal: Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao Vol: 26 (1)Pages: 57-69 Publisher: Springer Nature

DOI: 10.1007/s11766-011-1956-7

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Keywords:

Trust region Line search Convergence (economics) Regular polygon Mathematics Nonlinear system Mathematical optimization Set (abstract data type) Gradient method Applied mathematics Line (geometry) Computer science Geometry Physics

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Advanced Optimization Algorithms Research

Physical Sciences → Mathematics → Numerical Analysis

Matrix Theory and Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Optimization and Variational Analysis

Physical Sciences → Computer Science → Computational Theory and Mathematics

Projected gradient trust-region method for solving nonlinear systems with convex constraints

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