About this book series

SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 125 pages, the series covers a range of content from professional to academic. Briefs are characterized by fast, global electronic dissemination, standard publishing contracts, standardized manuscript preparation and formatting guidelines, and expedited production schedules.

Typical topics might include:

  • A timely report of state-of-the art techniques
  • A bridge between new research results, as published in journal articles, and a contextual literature review
  • A snapshot of a hot or emerging topic
  • An in-depth case study
  • A presentation of core concepts that students must understand in order to make independent contributions

SpringerBriefs in Mathematics showcases expositions in all areas of mathematics and applied mathematics. Manuscripts presenting new results or a single new result in a classical field, new field, or an emerging topic, applications, or bridges between new results and already published works, are encouraged. The series is intended for mathematicians and applied mathematicians. All works are peer-reviewed to meet the highest standards of scientific literature.

Titles from this series are indexed by Scopus, Web of Science, Mathematical Reviews, and zbMATH.

Electronic ISSN
2191-8201
Print ISSN
2191-8198
Series Editor
  • Nicola Bellomo,
  • Michele Benzi,
  • Palle Jorgensen,
  • Roderick Melnik,
  • Otmar Scherzer,
  • Benjamin Steinberg,
  • Lothar Reichel,
  • Yuri Tschinkel,
  • George Yin,
  • Ping Zhang

Book titles in this series

  1. Deep Learning for Fluid Simulation and Animation

    Fundamentals, Modeling, and Case Studies

    Authors:
    • Gilson Antonio Giraldi
    • Liliane Rodrigues de Almeida
    • Antonio Lopes Apolinário Jr.
    • Leandro Tavares da Silva
    • Copyright: 2023

    Available Renditions

    • Soft cover
    • eBook
  2. Tropical Circuit Complexity

    Limits of Pure Dynamic Programming

    Authors:
    • Stasys Jukna
    • Copyright: 2023

    Available Renditions

    • Soft cover
    • eBook

Abstracted and indexed in

  1. Mathematical Reviews
  2. Norwegian Register for Scientific Journals and Series
  3. SCImago
  4. SCOPUS
  5. zbMATH