Special issue on approximations in optimization

被引：1
|
作者：
F. van Keulen
R. Haftka
机构：
[1] Delft University of Technology,Structural Optimization and Computational Mechanics Group, Faculty of Mechanical Engineering
[2] University of Florida,Dept. of Mechanical and Aerospace Engineering
来源：
Structural and Multidisciplinary Optimization | 2004年 / 27卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：301 / 302
页数：1
相关论文
共 50 条
  • [1] Special issue on approximations in optimization
    van Keulen, F
    Haftka, R
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2004, 27 (05) : 301 - 301
  • [2] Special issue on optimization
    Lemaire, B
    JOURNAL OF CONVEX ANALYSIS, 2002, 9 (02)
  • [3] Special issue on stochastic optimization
    Marti, K.
    Vietor, T.
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2008, 35 (03) : 187 - 188
  • [4] Special issue on stochastic optimization
    Thomas Vietor
    Kurt Marti
    Structural and Multidisciplinary Optimization, 2008, 35 : 187 - 188
  • [5] Special Issue: Hierarchical Optimization
    Kristin P. Bennett
    Michael C. Ferris
    Jong-Shi Pang
    Mikhail V. Solodov
    Stephen J. Wright
    Mathematical Programming, 2023, 198 : 1121 - 1123
  • [6] Special Issue on Conic Optimization
    Luo, Zhi-Quan
    Tuncel, Levent
    Xiu, Naihua
    PACIFIC JOURNAL OF OPTIMIZATION, 2012, 8 (04): : 649 - 650
  • [7] Special Issue: Big Optimization
    Abbass, Hussein
    Tang, Huajin
    Lim, Meng-Hiot
    MEMETIC COMPUTING, 2016, 8 (01) : 1 - 2
  • [8] Special Issue: Hierarchical Optimization
    Bennett, Kristin P.
    Ferris, Michael C.
    Pang, Jong-Shi
    Solodov, Mikhail V.
    Wright, Stephen J.
    MATHEMATICAL PROGRAMMING, 2023, 198 (02) : 1121 - 1123
  • [9] Special Issue on Surrogat Optimization
    Vicente, LN
    OPTIMIZATION AND ENGINEERING, 2004, 5 (02) : 99 - 100
  • [10] Special issue: Geometry and Optimization
    Bremner, David
    Deza, Antoine
    Imai, Hiroshi
    Moriyama, Sonoko
    COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, 2013, 46 (05): : 493 - 493
12345