Jove
Visualize
Contact Us

Related Experiment Videos

Mlab--a mathematical modeling tool.

G D Knott

    Computer Programs in Biomedicine
    |December 1, 1979
    PubMed
    Summary
    This summary is machine-generated.

    Mlab is an interactive programming language designed for mathematical modeling and curve fitting. It offers enhanced capabilities, including differential equation handling and matrix manipulation, simplifying complex data analysis tasks.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    General statistics of stochastic process of gene expression in eukaryotic cells.

    Genetics·2002
    Same author

    Lumped parameter estimation for the embryonic chick vascular system: a time-domain approach using MLAB.

    Computer methods and programs in biomedicine·2000
    Same author

    Simulation studies of self-associating systems; discrimination between specific and isodesmic associations.

    Biophysical chemistry·1976
    Same author

    Kinetics of gonadotropin binding by receptors of the rat testis. Analysis by a nonlinear curve-fitting method.

    Biochemistry·1975
    Same author

    Computer analysis of the binding reaction between hCG and gonadotropin receptors of the rat testis.

    Current topics in molecular endocrinology·1974
    Same journal

    Microprocessor-based system for on-line analysis of respiratory responses to exercise.

    Computer programs in biomedicine·1985
    Same journal

    A calculator program for clinical application of the Bayesian method of predicting plasma drug levels.

    Computer programs in biomedicine·1985
    Same journal

    Testing marginal homogeneity in square tables; with emphasis on matched data.

    Computer programs in biomedicine·1985
    Same journal

    Computerized analysis of enzyme cascade reactions using continuous rate data obtained with an ELISA reader.

    Computer programs in biomedicine·1985
    Same journal

    Mathematical modelling of stimulus-secretion coupling in the pancreatic B-cell. II. Calcium-stimulated calcium release.

    Computer programs in biomedicine·1985
    Same journal

    A program for logistic prediction modelling.

    Computer programs in biomedicine·1985
    See all related articles
    JoVE
    x logofacebook logolinkedin logoyoutube logo
    ABOUT JoVE
    OverviewLeadershipBlogJoVE Help Center
    AUTHORS
    Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
    LIBRARIANS
    TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
    RESEARCH
    JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
    EDUCATION
    JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
    Terms & Conditions of Use
    Privacy Policy
    Policies

    Area of Science:

    • Scientific computing
    • Mathematical modeling
    • Data analysis

    Background:

    • Curve fitting is a common activity in scientific research.
    • Existing tools often lack generality or ease of use, requiring conventional programming.
    • There is a need for more accessible and powerful curve fitting software.

    Purpose of the Study:

    • To describe Mlab, an interactive programming language.
    • To highlight Mlab's capabilities for mathematical modeling and curve fitting.
    • To demonstrate Mlab's ease of use compared to alternative methods.

    Main Methods:

    • Mlab is presented as an interactive interpreter and programming language.
    • Its mathematical and graphical facilities are discussed.
    • Curve fitting capabilities are augmented with differential-equation-handling and matrix-manipulation.

    Related Experiment Videos

  • A specific feature, the root operator, is highlighted.
  • Main Results:

    • Mlab provides a powerful and user-friendly environment for curve fitting.
    • It integrates advanced features like differential equation handling and matrix manipulation.
    • The use of Mlab simplifies complex data analysis, as shown in an ultracentrifuge data example.

    Conclusions:

    • Mlab offers a more accessible and efficient approach to curve fitting and mathematical modeling.
    • Its integrated features and unique operators, like the root operator, enhance its utility.
    • Mlab is a valuable tool for researchers engaged in data analysis and modeling.