
A new concave reformulation and its application in solving DC programming globally under uncertain environment
Author(s) -
Yanjun Wang,
Kaiji Shen
Publication year - 2020
Publication title -
journal of industrial and management optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 32
eISSN - 1553-166X
pISSN - 1547-5816
DOI - 10.3934/jimo.2019057
Subject(s) - mathematical optimization , convex hull , simplex algorithm , simplex , cvar , feasible region , regular polygon , computer science , relaxation (psychology) , global optimization , set (abstract data type) , convex optimization , robust optimization , linear programming , sequence (biology) , constraint (computer aided design) , mathematics , combinatorics , psychology , social psychology , expected shortfall , geometry , management , economics , programming language , risk management , biology , genetics