首页> 外文期刊>Communications on applied nonlinear analysis >On Nondifferentiable Minimax Fractional Programming Involving Generalized (C, a, p, d)-Convexity
【24h】

On Nondifferentiable Minimax Fractional Programming Involving Generalized (C, a, p, d)-Convexity

机译:关于广义(C,a,p,d)-凸的不可微极小分式规划

获取原文
获取原文并翻译 | 示例
           

摘要

In the present paper we focus our study on a nondifferentiable minimax programming problem and establish sufficient optimality conditions under the assumptions of generalized (C, a, p, d)-convexity. Subsequently, we apply the optimality condition to formulate two types of dual problems and prove appropriate duality theorems.
机译:在本文中,我们将研究重点放在不可微的极大极小规划问题上,并在广义(C,a,p,d)-凸性的假设下建立足够的最优条件。随后,我们应用最优性条件来公式化两种类型的对偶问题,并证明适当的对偶定理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号