Newton-raphson Optimization

Newton-Raphson Optimization is an iterative optimization method that belongs to the class of second-order numerical techniques and is distinguished by its use of both the gradient and the Hessian of the objective function to achieve rapid convergence toward a local minimum.

568

Publications

39.5K

Citations

1.4K

Authors

653

Institutions

Publications per year

2017–2026

111

Variants

Newton's Method For OptimizationNewton's Optimization Method

Authors

1.4K

  1. DV
    Damiano Varagnolo

    University of Padua, Italy

    7 publications · 481 citations

    7

    h-index

  2. CR
    Claudio R. Fuerte‐Esquivel

    Universidad Michoacana de San Nicolás de Hidalgo, Mexico

    7 publications · 1.2K citations

    7

    h-index

  3. LS
    Luca Schenato

    University of Padua, Italy

    7 publications · 481 citations

    7

    h-index

  4. JC
    James C. Spall

    Johns Hopkins University Applied Physics Laboratory, United States

    5 publications · 548 citations

    5

    h-index

  5. JK
    Johannes Kästner

    University of Stuttgart, Germany

    4 publications · 263 citations

    4

    h-index

1–5 of 1.4K

Venues

  1. IEEE Transactions on Power Systems

    20 publications · 2.5K citations

    19

    h-index

  2. The Journal of Chemical Physics

    16 publications · 998 citations

    14

    h-index

  3. IEEE Transactions on Power Delivery

    10 publications · 346 citations

    10

    h-index

  4. 9

    h-index

  5. IEEE Transactions on Automatic Control

    9 publications · 1.4K citations

    9

    h-index

1–5