On regularization methods based on dynamic programming techniques

Author：  

Publisher： Taylor & Francis Ltd

ISSN： 0003-6811

Source： Applicable Analysis, Vol.86, Iss.5, 2007-05, pp. : 611-632

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

On Adaptive Regularization Methods in Boosting

By Culp Mark   Michailidis George   Johnson Kjell  

Journal of Computational and Graphical Statistics, Vol. 20, Iss. 4, 2011-01 ,pp. : 937-955

Taylor & Francis Ltd

Access to resources Recommend Favorite

Linearization techniques for $\mathbb{L}^{\infty}$-control problems and dynamic programming principles in classical and $\mathbb{L}^{\infty}$-control problems

By Goreac Dan   Serea Oana-Silvia  

ESAIM: Control, Optimisation and Calculus of Variations, Vol. 18, Iss. 3, 2012-11 ,pp. : 836-855

Edp Sciences

Access to resources Recommend Favorite

Methods and Techniques

By  

The Americas, Vol. 32, Iss. 4, 1976-04 ,pp. : 619-620

Cambridge University Press

Access to resources Recommend Favorite

Transformation methods in nonlinear programming

By  

Bulletin of the Australian Mathematical Society, Vol. 6, Iss. 3, 1972-06 ,pp. : 478-479

Cambridge University Press

Access to resources Recommend Favorite

Dynamic Programming for the stochastic Navier-Stokesequations

By da Prato Giuseppe   Debussche Arnaud  

ESAIM: Mathematical Modelling and Numerical Analysis, Vol. 34, Iss. 2, 2010-03 ,pp. : 459-475

Edp Sciences

Access to resources Recommend Favorite