Random Operators and Stochastic Equations

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Journal Properties
  • Country
    Germany
  • Language
    English
  • Number of Articles
    861
  • Abbreviation
    Random Oper Stochastic Equations
  • ISSN
    0926-6364
  • e-ISSN
    1569-397X
  • Main Publisher
    Walter de Gruyter
  • Publisher
    Walter de Gruyter GmbH
  • Indian UGC
  • DOAJ (latest)
Journal Properties
  • Science
    Mathematics
    Probabilities
    Mathematical statistics
  • website
Description
Random Operators and Stochastic Equations is a peer-reviewed journal devoted to the theory and applications of random operators and stochastic equations. It publishes high-quality research articles on a broad range of topics within these areas. The journal's scope encompasses subjects such as optimal control, mathematical modeling, and differential equations. It is particularly interested in work that connects stochastic analysis with partial differential equations (PDEs) and dynamical systems. This publication is essential for researchers and academics seeking cutting-edge developments in probability, mathematics, and applied fields. The journal aims to provide a forum for disseminating innovative mathematical techniques and their application to solving complex problems. Researchers will discover relevant material for advancing theoretical understanding and practical applications. With its focus on rigorous mathematical analysis, Random Operators and Stochastic Equations plays a crucial role in fostering research and development in this evolving field. It welcomes submissions that push the boundaries of mathematical knowledge.