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Books in the SpringerBriefs in Mathematical Methods series

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  • by Adam Bobrowski
    £37.49

    This book covers the application to two mutation models: single step mutation for microsatellite loci and single-base substitutions.

  • by Ryszard Rudnicki
    £38.49

    This book presents a concise introduction to piecewise deterministic Markov processes (PDMPs), with particular emphasis on their applications to biological models.

  • by Andrew Zammit-Mangion
    £38.49

    The book also demonstrates the methods on the WikiLeaks Afghan War Diary, the results showing that this approach allows deeper insights into conflict dynamics and allows a strikingly statistically accurate forward prediction of armed opposition group activity in 2010, based solely on data from preceding years.

  • by Herbert Edelsbrunner
    £50.49

    In the first part the book covers Voronoi diagrams and Delaunay triangulations, then it presents the theory of alpha complexes which play a crucial role in biology. The central part of the book is the homology theory and their computation, including the theory of persistence which is indispensable for applications, e.g.

  • - An Approach Through Practical Examples
    by Adrian Muntean
    £37.49

    This book develops continuum modeling skills and approaches the topic from three sides: (1) derivation of global integral laws together with the associated local differential equations, (2) design of constitutive laws and (3) modeling boundary processes.

  • by Nenad Trinajstic, Kexiang Xu & Kinkar Chandra Das
    £47.99

    This is the first book to focus on the topological index, the Harary index, of a graph, including its mathematical properties, chemical applications and some related and attractive open problems.

  • by Song Wang
    £38.49

    The contents of the book consist of three parts: (i) basic theory of stochastic control and formulation of various option pricing models, (ii) design of finite volume, finite difference and penalty-based algorithms for solving the models and (iii) stability and convergence analysis of the algorithms.

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