An interior-point trust-region algorithm for quadratic stochastic symmetric programming
© 2017 by the Mathematical Association of Thailand. All rights reserved. Stochastic programming is a framework for modeling optimization problems that involve uncertainty. In this paper, we study two-stage stochastic quadratic symmetric programming to handle uncertainty in data defining (Deter-minis...
Saved in:
Main Authors: | Phannipa Kabcome, Thanasak Mouktonglang |
---|---|
Format: | Journal |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018941173&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/47013 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
An interior-point trust-region algorithm for quadratic stochastic symmetric programming
by: Phannipa Kabcome, et al.
Published: (2018) -
An interior-point trust-region algorithm for quadratic stochastic symmetric programming
by: Kabcome P., et al.
Published: (2017) -
An Interior Point Method for Solving a Class of Linear-Quadratic Stochastic Programming Problems
by: WEE, Kwan Eng, et al.
Published: (1994) -
An Interior Point Method for Solving a Class of Linear-Quadratic Stochastic Programming Problems
by: WEE, Kwan Eng, et al.
Published: (1995) -
An Interior Point Method for Solving a Class of Linear-Quadratic Stochastic Programming Problems
by: WEE, Kwan Eng, et al.
Published: (1995)