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集值优化问题BOREIN与BESON真有效解真有效解的比较
  • 期刊名称：数学的理论与实践
  • 时间：2012.1
  • 页码：247-250
  • 相关项目：向量优化问题的集值分析与近似解研究
作者： 周志昂|
同期刊论文项目
向量优化问题的集值分析与近似解研究
期刊论文 59
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Scalarization and pointwise well-posednessfor set optimization problems
~$E$-proper saddle points and $E$-proper Duality in Vector Optimization with set-valued maps
~A Generalized Alternative Theorem of Partial and Generalized Cone Subconvexlike Set-Valued Maps and
~The Relationship between Two Kinds of Generalized Convex Set-Valued Maps in Real Ordered Linear Spa
~$E$-Benson proper efficiency in vector optimization
α-Well-Posedness for Quasivariational Inequality problems
∈-Optimality conditions of vector optimization problems with set-valued maps based on the algebraic
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$\epsilon$-Henig proper efficiency of set-valued optimization problems in real ordered linear spaces
DENSITY AND UPPER SEMICONTINUITY OF STRONG SOLUTIONS FOR PARAMETRIC GENERALIZED SYSTEM
Weak Subdifferentials for Set-Valued Mappings
E-PROPER SADDLE POINTS AND E-PROPER DUALITY IN VECTOR OPTIMIZATION WITH SET-VALUED MAPS
Characterizations of efficiency in vector optimization with C(T)-valued mappings
Approximate proper efficiency in vector optimization
~A unified stability result with perturbations in vector optimization
A Characterization of E-Benson Proper Efficiency via Nonlinear Scalarization in Vector Optimization
$\varepsilon$ -Strict Subdifferentials of Set-Valued Maps and Optimality Conditions
On the Lower Semicontinuity of the Solution Mappingsto Parametric Weak Generalized Ky Fan Inequality
On the lower Semicontinuity of the Solution Mapppings to Parametric Weak Generalized Ky Fan Inequali
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A Kind of Unified Proper Efficiency in Vector Optimization
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~Weak Subdifferentials for Set-Valued Mappings
~$\epsilon$-Henig proper efficiency of set-valued optimization problems in real ordered linear space
~Optimality conditions of set-valued optimization problem involving relative algebraic interior in o
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半-r-预不变凸规划的混合对偶问题
一类修正LS谱共轭梯度法的全局收敛性
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集值映射向量优化的近似Benson真有效性
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一致凸Banach空间中α-非扩张映象的强收敛定理
非光滑B-预不变凸优化问题的解集刻画
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