Search Results - subject:"Convex function"

Infimal convolution, c-subdifferentiability, and Fenchel duality in evenly convex optimization

Fajardo, M.; Vicente-Pérez, J.; Rodríguez, M. - In: TOP: An Official Journal of the Spanish Society of … 20 (2012) 2, pp. 375-396

Persistent link: https://www.econbiz.de/10010995338

A note on subdifferentials of pointwise suprema

Ioffe, A. - In: TOP: An Official Journal of the Spanish Society of … 20 (2012) 2, pp. 456-466

Persistent link: https://www.econbiz.de/10010995342

Generalized projections onto convex sets

Ferreira, O.; Németh, S. - In: Journal of Global Optimization 52 (2012) 4, pp. 831-842

Persistent link: https://www.econbiz.de/10010845842

On the Amato inequality index

Arnold, Barry C. - In: Statistics & Probability Letters 82 (2012) 8, pp. 1504-1506

representation of the index as an expectation of a particular convex function is presented here. …

Persistent link: https://www.econbiz.de/10010597166

Saddle points for vector valued functions: existence, necessary and sufficient theorems

Duca, Dorel; Lupsa, Liana - In: Journal of Global Optimization 53 (2012) 3, pp. 431-440

Persistent link: https://www.econbiz.de/10010557850

Some inequalities for demimartingales and N-demimartingales

Hu, Shuhe; Wang, Xinghui; Yang, Wenzhi; Wang, Xuejun - In: Statistics & Probability Letters 82 (2012) 2, pp. 232-239

Marshall type inequalities for nonnegative demimartingales. In addition, the convex function type inequalities for …

Persistent link: https://www.econbiz.de/10010571820

Gradient modeling for multivariate quantitative data

Sei, Tomonari - In: Annals of the Institute of Statistical Mathematics 63 (2011) 4, pp. 675-688

Persistent link: https://www.econbiz.de/10009149892

Inexact Halpern-type proximal point algorithm

Boikanyo, O.; Moroşanu, G. - In: Journal of Global Optimization 51 (2011) 1, pp. 11-26

Persistent link: https://www.econbiz.de/10009324669

The directional subdifferential of the difference of two convex functions

Penot, Jean-Paul - In: Journal of Global Optimization 49 (2011) 3, pp. 505-519

We provide a criterion giving a formula for the directional (or contingent) subdifferential of the difference of two convex functions. We even extend it to the difference of two approximately starshaped functions. Our analysis relies on a notion of approximate monotonicity for operators which is...

Persistent link: https://www.econbiz.de/10008925271

On Convex Quadratic Approximation

Den Hertog, Dick; de Klerk, Etienne; Roos, J. - Tilburg University, Center for Economic Research - 2000

convex function in a finite set of points is not necessarily convex, even though it is convex for a univariate convex … function. This result has many consequences both for the field of statistics and optimization. We show that convexity can be …

Persistent link: https://www.econbiz.de/10011090460