MINPACK-2

A limited memory quasi Newton method. Directories contain software, drivers and manuals. (dcsrch.f, the step-size-algorithm, must be added to be found e.g. in the following code)

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References in zbMATH (referenced in 57 articles )

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  1. Bozorgmanesh, Hassan; Hajarian, Masoud: Triangular decomposition of CP factors of a third-order tensor with application to solving nonlinear systems of equations (2022)
  2. Andrei, Neculai: A new accelerated diagonal quasi-Newton updating method with scaled forward finite differences directional derivative for unconstrained optimization (2021)
  3. Kofman, Ernesto; Fernández, Joaquín; Marzorati, Denise: Compact sparse symbolic Jacobian computation in large systems of ODEs (2021)
  4. Andrei, Neculai: A new diagonal quasi-Newton updating method with scaled forward finite differences directional derivative for unconstrained optimization (2019)
  5. Wang, Guoqiang; Yu, Bo: PAL-Hom method for QP and an application to LP (2019)
  6. Andrei, Neculai: A diagonal quasi-Newton updating method based on minimizing the measure function of Byrd and Nocedal for unconstrained optimization (2018)
  7. Montanher, Tiago; Neumaier, Arnold; Domes, Ferenc: A computational study of global optimization solvers on two trust region subproblems (2018)
  8. Pintér, János D.: How difficult is nonlinear optimization? A practical solver tuning approach, with illustrative results (2018)
  9. Andrei, Neculai: Accelerated adaptive Perry conjugate gradient algorithms based on the self-scaling memoryless BFGS update (2017)
  10. Beiranvand, Vahid; Hare, Warren; Lucet, Yves: Best practices for comparing optimization algorithms (2017)
  11. Weinstein, Matthew J.; Rao, Anil V.: Algorithm 984: ADiGator, a toolbox for the algorithmic differentiation of mathematical functions in MATLAB using source transformation via operator overloading (2017)
  12. Andrei, Neculai: An adaptive conjugate gradient algorithm for large-scale unconstrained optimization (2016)
  13. Andrei, Neculai: A new adaptive conjugate gradient algorithm for large-scale unconstrained optimization (2016)
  14. Sluşanschi, Emil I.; Dumitrel, Vlad: ADiJaC -- automatic differentiation of Java classfiles (2016)
  15. Neda, Monika; Pahlevani, Fran; Waters, Jiajia: Sensitivity analysis and computations of the time relaxation model (2015)
  16. Bosse, Torsten; Lehmann, Lutz; Griewank, Andreas: Adaptive sequencing of primal, dual, and design steps in simulation based optimization (2014)
  17. Andrei, Neculai: A simple three-term conjugate gradient algorithm for unconstrained optimization (2013)
  18. Andrei, Neculai: On three-term conjugate gradient algorithms for unconstrained optimization (2013)
  19. Andrei, Neculai: Nonlinear optimization applications using the GAMS technology (2013)
  20. Andrei, Neculai: Another conjugate gradient algorithm with guaranteed descent and conjugacy conditions for large-scale unconstrained optimization (2013)

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