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Mathematical models in biology : = an introduction /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Mathematical models in biology :/ Elizabeth S. Allman, John A. Rhodes.
Reminder of title:
an introduction /
Author:
Allman, Elizabeth Spencer,
other author:
Rhodes, John A.
Description:
1 online resource (xiii, 370 pages) :digital, PDF file(s). :
Notes:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:
Biology - Mathematical models. -
Online resource:
https://doi.org/10.1017/CBO9780511790911
ISBN:
9780511790911 (ebook)
Mathematical models in biology : = an introduction /
Allman, Elizabeth Spencer,1965-
Mathematical models in biology :
an introduction /Elizabeth S. Allman, John A. Rhodes. - 1 online resource (xiii, 370 pages) :digital, PDF file(s).
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
This introductory textbook on mathematical biology focuses on discrete models across a variety of biological subdisciplines. Biological topics treated include linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction, genetics, and infectious disease models. The coverage of models of molecular evolution and phylogenetic tree construction from DNA sequence data is unique among books at this level. Computer investigations with MATLAB are incorporated throughout, in both exercises and more extensive projects, to give readers hands-on experience with the mathematical models developed. MATLAB programs accompany the text. Mathematical tools, such as matrix algebra, eigenvector analysis, and basic probability, are motivated by biological models and given self-contained developments, so that mathematical prerequisites are minimal.
ISBN: 9780511790911 (ebook)Subjects--Topical Terms:
528533
Biology
--Mathematical models.
LC Class. No.: QH323.5 / .A44 2004
Dewey Class. No.: 570/.1/5118
Mathematical models in biology : = an introduction /
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an introduction /
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2004.
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This introductory textbook on mathematical biology focuses on discrete models across a variety of biological subdisciplines. Biological topics treated include linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction, genetics, and infectious disease models. The coverage of models of molecular evolution and phylogenetic tree construction from DNA sequence data is unique among books at this level. Computer investigations with MATLAB are incorporated throughout, in both exercises and more extensive projects, to give readers hands-on experience with the mathematical models developed. MATLAB programs accompany the text. Mathematical tools, such as matrix algebra, eigenvector analysis, and basic probability, are motivated by biological models and given self-contained developments, so that mathematical prerequisites are minimal.
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https://doi.org/10.1017/CBO9780511790911
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