Accelerating convergence in the antisymmetric product of strongly orthogonal geminals method

被引:23
|
作者
Tarumi, Moto [1 ]
Kobayashi, Masato [1 ,2 ]
Nakai, Hiromi [1 ,3 ,4 ]
机构
[1] Waseda Univ, Dept Chem & Biochem, Sch Adv Sci & Engn, Tokyo 1698555, Japan
[2] Natl Inst Nat Sci, Inst Mol Sci, Dept Theoret & Computat Mol Sci, Okazaki, Aichi 4448585, Japan
[3] Waseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
[4] Japan Sci & Technol Agcy, CREST, Tokyo 1028666, Japan
关键词
static electron correlation; antisymmetric product of strongly orthogonal geminals method; direct inversion in the iterative subspace method; WAVE-FUNCTIONS; CONFIGURATION-INTERACTION; PERTURBATIVE CORRECTIONS; MODEL CHEMISTRY; ORBITALS; SPACES;
D O I
10.1002/qua.24045
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Antisymmetric product of strongly orthogonal geminals (APSG) method is a wavefunction theory that can effectively treat the static electron correlation using two-electron wavefunctions, called geminals. However, the APSG method has the problem of slow convergence in the optimization of the geminal function. In this study, we introduced the direct inversion in the iterative subspace (DIIS) method, for both closed- and open-shell systems, for accelerating its convergence. Two types of error vectors, that is, unitary transformation and orbital gradient, were examined for the DIIS procedure. Numerical assessments revealed that the orbital-gradient error vector shows better performance than the unitary-transformation one. (c) 2012 Wiley Periodicals, Inc.
引用
收藏
页码:239 / 244
页数:6
相关论文
共 50 条
  • [31] Convergence Accelerating in the Homotopy Analysis Method: a New Approach
    Turkyilmazoglu, M.
    ADVANCES IN APPLIED MATHEMATICS AND MECHANICS, 2018, 10 (04) : 925 - 947
  • [32] An Accelerating Convergence Rate Method for Moving Morphable Components
    Lian, Ruichao
    Jing, Shikai
    He, Zhijun
    Shi, Zefang
    Song, Guohua
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [33] Weighted parameter method for accelerating convergence of matrix iteration
    Zhang, Fangchun
    Wang, Xiping
    Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement & Diagnosis, 1998, 18 (01): : 61 - 63
  • [34] Orthogonal Robust Design Method for Product Quality
    Li, Yongxian
    Chen, Weizeng
    Ding, Jinfu
    Wu, Shouyi
    ICIM: 2009 INTERNATIONAL CONFERENCE ON INNOVATION MANAGEMENT, PROCEEDINGS, 2009, : 120 - 123
  • [36] A gene selecting method for accelerating convergence speed of genetic algorithms
    Yamaguch, S
    Itakura, H
    8TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, VOLS 1-3, PROCEEDING, 2001, : 517 - 522
  • [37] Accelerating the Convergence of the Moment Method for the Boltzmann Equation Using Filters
    Yuwei Fan
    Julian Koellermeier
    Journal of Scientific Computing, 2020, 84
  • [38] Accelerating the convergence of the stochastic ruler method for discrete stochastic optimization
    Alrefaei, MH
    Andradottir, S
    PROCEEDINGS OF THE 1997 WINTER SIMULATION CONFERENCE, 1997, : 352 - 357
  • [39] Accelerating the convergence of a tokamak modeling code with Aitken's method
    Haelterman, R.
    Van Eester, D.
    COMPUTER PHYSICS COMMUNICATIONS, 2015, 196 : 70 - 79
  • [40] Accelerating the Convergence of the Moment Method for the Boltzmann Equation Using Filters
    Fan, Yuwei
    Koellermeier, Julian
    JOURNAL OF SCIENTIFIC COMPUTING, 2020, 84 (01)