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3 edition of Mathematical modeling, estimation, and imaging found in the catalog.

Mathematical modeling, estimation, and imaging

Mathematical modeling, estimation, and imaging

31 July-1 August 2000, San Diego, USA

  • 86 Want to read
  • 39 Currently reading

Published by SPIE in Bellingham, Wash., USA .
Written in English

    Subjects:
  • Image processing -- Mathematics -- Congresses.,
  • Image processing -- Industrial applications -- Congresses.,
  • Diagnostic imaging -- Mathematics -- Congresses.,
  • Optical pattern recognition -- Mathematical models -- Congresses.,
  • Computer vision -- Congresses.

  • Edition Notes

    Includes bibliographical references and index.

    StatementDavid C. Wilson ... [et al.], chairs/editors ; sponsored ... by SPIE--the International Society for Optical Engineering ; cooperating organization, SIAM--Society for Industrial and Applied Mathematics.
    GenreCongresses.
    SeriesSPIE proceedings series ;, v. 4121, Proceedings of SPIE--the International Society for Optical Engineering ;, v. 4121.
    ContributionsWilson, David C., 1942-, Society of Photo-optical Instrumentation Engineers., Society for Industrial and Applied Mathematics.
    Classifications
    LC ClassificationsTA1637 .M359 2000
    The Physical Object
    Paginationx, 244 p. :
    Number of Pages244
    ID Numbers
    Open LibraryOL3967240M
    ISBN 100819437662
    LC Control Number2001273192
    OCLC/WorldCa45213747

    A mathematical model is a description of a system using mathematical concepts and process of developing a mathematical model is termed mathematical atical models are used in the natural sciences (such as physics, biology, earth science, chemistry) and engineering disciplines (such as computer science, electrical engineering), as well as in the social sciences (such. Mathematical Modeling in Biomedical Imaging II: Optical, Ultrasound, and Opto-Acoustic Tomographies John C. Schotland (auth.), Habib Ammari (eds.) This volume reports on recent mathematical and computational advances in optical, ultrasound, and opto-acoustic tomographies.

    Due to the intrinsic stochasticity, the signaling dynamics in a clonal population of cells exhibit cell-to-cell variability at the single-cell level, which is distinct from the population-average dynamics. Frequently, flow cytometry is widely used to acquire the single-cell level measurements by blocking cytokine secretion with reagents such as Golgiplug™. However, Golgiplug™ can alter the Cited by: A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational Methods is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology.

    Mathematical Modeling: Models, Analysis and Applications covers modeling with all kinds of differential equations, namely ordinary, partial, delay, and stochastic. The book also contains a chapter on discrete modeling, consisting of differential equations, making it a complete textbook on this important skill needed for the study of science. Mathematical Modeling in Biomedical Imaging I by Habib Ammari, , available at Book Depository with free delivery worldwide.


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