期刊文献+

Optimality Conditions and Algorithms for Direct Optimizing the Partial Differential Equations

Optimality Conditions and Algorithms for Direct Optimizing the Partial Differential Equations
下载PDF
导出
摘要 New form of necessary conditions for optimality (NCO) is considered. They can be useful for design the direct infinite- dimensional optimization algorithms for systems described by partial differential equations (PDE). Appropriate algo-rithms for unconstrained minimizing a functional are considered and tested. To construct the algorithms, new form of NCO is used. Such approach demonstrates fast uniform convergence at optimal solution in infinite-dimensional space. New form of necessary conditions for optimality (NCO) is considered. They can be useful for design the direct infinite- dimensional optimization algorithms for systems described by partial differential equations (PDE). Appropriate algo-rithms for unconstrained minimizing a functional are considered and tested. To construct the algorithms, new form of NCO is used. Such approach demonstrates fast uniform convergence at optimal solution in infinite-dimensional space.
出处 《Engineering(科研)》 2012年第7期390-393,共4页 工程(英文)(1947-3931)
关键词 Optimization GRADIENT Necessary Conditions for OPTIMALITY Partial Differential EQUATIONS Infinite-Dimensional Algorithms Optimization Gradient Necessary Conditions for Optimality Partial Differential Equations Infinite-Dimensional Algorithms
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部