Inverse coefficient problems and fast automatic differentiation

Article Properties
  • Language
    English
  • Publication Date
    2022/03/09
  • Indian UGC (journal)
  • Refrences
    19
  • Citations
    3
  • Yury Evtushenko Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences , Moscow , Russian Federation
  • Vladimir Zubov Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences , Moscow , Russian Federation
  • Alla Albu Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences , Moscow , Russian Federation
Abstract
Cite
Evtushenko, Yury, et al. “Inverse Coefficient Problems and Fast Automatic Differentiation”. Journal of Inverse and Ill-Posed Problems, vol. 30, no. 3, 2022, pp. 447-60, https://doi.org/10.1515/jiip-2021-0075.
Evtushenko, Y., Zubov, V., & Albu, A. (2022). Inverse coefficient problems and fast automatic differentiation. Journal of Inverse and Ill-Posed Problems, 30(3), 447-460. https://doi.org/10.1515/jiip-2021-0075
Evtushenko, Yury, Vladimir Zubov, and Alla Albu. “Inverse Coefficient Problems and Fast Automatic Differentiation”. Journal of Inverse and Ill-Posed Problems 30, no. 3 (2022): 447-60. https://doi.org/10.1515/jiip-2021-0075.
Evtushenko Y, Zubov V, Albu A. Inverse coefficient problems and fast automatic differentiation. Journal of Inverse and Ill-posed Problems. 2022;30(3):447-60.
Journal Categories
Science
Mathematics
Technology
Technology (General)
Industrial engineering
Management engineering
Applied mathematics
Quantitative methods
Refrences
Title Journal Journal Categories Citations Publication Date
Identification of the Thermal Conductivity Coefficient for Quasi-Stationary Two-Dimensional Heat Conduction Equations Journal of Engineering Physics and Thermophysics
  • Science: Physics: Heat: Thermodynamics
12 2017
Computation of exact gradients in distributed dynamic systems Optimization Methods and Software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Manufactures: Production management. Operations management
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
23 1998
10.1007/978-3-030-77876-7_26
A modified Levenberg–Marquardt algorithm for simultaneous estimation of multi-parameters of boundary heat flux by solving transient nonlinear inverse heat conduction problems International Journal of Heat and Mass Transfer
  • Science: Physics: Heat: Thermodynamics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
105 2016
10.1090/S0002-9947-1956-0084194-4
Citations
Title Journal Journal Categories Citations Publication Date
On Simultaneous Determination of Thermal Conductivity and Volume Heat Capacity of Substance Computational Mathematics and Mathematical Physics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
  • Science: Mathematics
2023
About One Inverse Coefficient Problem Lobachevskii Journal of Mathematics
  • Science: Mathematics
2023
On Simultaneous Determination of Thermal Conductivity and Volume Heat Capacity of Substance

Журнал вычислительной математики и математической физики 2023
Citations Analysis
The category Science: Mathematics 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled On Simultaneous Determination of Thermal Conductivity and Volume Heat Capacity of Substance and was published in 2023. The most recent citation comes from a 2023 study titled On Simultaneous Determination of Thermal Conductivity and Volume Heat Capacity of Substance. This article reached its peak citation in 2023, with 3 citations. It has been cited in 3 different journals. Among related journals, the Журнал вычислительной математики и математической физики cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year