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Books on the topic 'Biological mathematic'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

K, Maini Philip, and Othmer H. G. 1943-, eds. Mathematical models for biological pattern formulation: Frontiers in biological mathematics. Springer, 2001.

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2

Bill, Broadhurst, and Hladky S. B, eds. Mathematics for biological scientists. Garland Science, 2009.

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3

1960-, Deutsch Andreas, ed. Mathematical modeling of biological systems. Birkhauser, 2007.

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4

Lewis, Mark A., Sergei V. Petrovskii, and Jonathan R. Potts. The Mathematics Behind Biological Invasions. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32043-4.

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5

Banks, H. Thomas. Mathematical and experimental modeling of physical and biological processes. Chapman & Hall/CRC, 2009.

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6

Blake, Rawlings James, ed. Modeling and analysis principles for chemical and biological engineers. Nob Hill Pub., 2013.

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7

Friedman, Avner, and Chiu-Yen Kao. Mathematical Modeling of Biological Processes. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08314-8.

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8

Ohira, Toru, and Tohru Uzawa, eds. Mathematical Approaches to Biological Systems. Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55444-8.

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9

Deutsch, Andreas, Lutz Brusch, Helen Byrne, Gerda de Vries, and Hanspeter Herzel, eds. Mathematical Modeling of Biological Systems. Birkhäuser Boston, 2007. http://dx.doi.org/10.1007/978-0-8176-4558-8.

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10

Segal, Rebecca, Blerta Shtylla, and Suzanne Sindi, eds. Using Mathematics to Understand Biological Complexity. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57129-0.

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11

Radunskaya, Ami, Rebecca Segal, and Blerta Shtylla, eds. Understanding Complex Biological Systems with Mathematics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98083-6.

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12

Campbell, June Mundy. Laboratory mathematics: Medical and biological applications. 4th ed. Mosby, 1990.

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13

1933-, Campbell June Mundy, ed. Laboratory mathematics: Medical and biological applications. 5th ed. Mosby, 1997.

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14

Ron, Unger, ed. Biological computation. Chapman & Hall/CRC, 2010.

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15

Deutsch, Andreas. Cellular automaton modeling of biological pattern formation: Characterization, applications, and analysis. Birkhauser, 2004.

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16

Maini, Philip K., and Hans G. Othmer, eds. Mathematical Models for Biological Pattern Formation. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0133-2.

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17

R, Carson Ewart, ed. Mathematical modelling of dynamic biological systems. 2nd ed. Research Studies Press, 1985.

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18

Goriely, Alain. The Mathematics and Mechanics of Biological Growth. Springer New York, 2017. http://dx.doi.org/10.1007/978-0-387-87710-5.

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19

Hoppensteadt, F. C. Mathematics in medicine and the life sciences. Springer-Verlag, 1992.

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20

Deutsch, Andreas, Rafael Bravo de la Parra, Rob J. de Boer, et al., eds. Mathematical Modeling of Biological Systems, Volume II. Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4556-4.

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21

1934-, Jørgensen Sven Erik, and Gromiec Marek Jerzy, eds. Mathematical models in biological waste water treatment. Elsevier, 1985.

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22

G, Hallam T., Levin Simon A, Unesco, International Atomic Energy Agency, and Autumn Course on Mathematical Ecology (1st : 1982 : International Centre for Theoretical Physics), eds. Mathematical ecology: An introduction. Springer-Verlag, 1986.

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23

R, Mondaini, and Pardalos P. M. 1954-, eds. Mathematical modelling of biosystems. Springer, 2008.

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24

Kao, Chiu-Yen, and Avner Friedman. Mathematical Modeling of Biological Processes. Springer London, Limited, 2014.

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25

De Smedt, Bert, and Roland H. Grabner. Applications of Neuroscience to Mathematics Education. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.48.

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Abstract:

In this chapter, we explore three types of applications of neuroscience to mathematics education: neurounderstanding, neuroprediction, and neurointervention.Neurounderstandingrefers to the idea that neuroscience is generating knowledge on how people acquire mathematical skills and how this learning is reflected at the biological level. Such knowledge might yield a better understanding of the typical and atypical development of school-taught mathematical competencies.Neuropredictiondeals with the potential of neuroimaging data to predict future mathematical skill acquisition and response to edu

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26

Aitken, Mike, Bill Broadhurst, and Steve Hladky. Mathematics for Biological Scientists. Garland Science, 2009. http://dx.doi.org/10.4324/9780203833520.

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27

Mathematics for Biological Scientists. Garland Science, 2009. http://dx.doi.org/10.1201/9780203833520.

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28

Mathematics for Biological Scientists. CRC Press LLC, 2009.

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29

Mathematics for Biological Scientists. CRC Press LLC, 2009.

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30

Aitken, Mike, Bill Broadhurst, and Stephen Hladky. Mathematics for Biological Scientists. CRC Press LLC, 2009.

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31

Lewis, Mark A., Sergei V. Petrovskii, and Jonathan R. Potts. Mathematics Behind Biological Invasions. Springer International Publishing AG, 2016.

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32

Lewis, Mark A., Sergei V. Petrovskii, and Jonathan R. Potts. Mathematics Behind Biological Invasions. Springer London, Limited, 2016.

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33

Aitken, Mike, Bill Broadhurst, and Stephen Hladky. Mathematics for Biological Scientists. CRC Press LLC, 2009.

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34

Aitken, Mike, Bill Broadhurst, and Stephen Hladky. Mathematics for Biological Scientists. Taylor & Francis Group, 2009.

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35

Delitala, Marcello, and Giulia Ajmone Marsan. Managing Complexity, Reducing Perplexity: Modeling Biological Systems. Springer London, Limited, 2014.

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36

Managing Complexity, Reducing Perplexity: Modeling Biological Systems. Springer, 2014.

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37

Mathematical Modeling of Biological Processes. Springer International Publishing AG, 2014.

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38

Intrinsic Geometry Of Biological Surface Growth. Springer, 1986.

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39

Bioterrorism: Mathematical Modeling Applications in Homeland Security (Frontiers in Applied Mathematics). Society for Industrial Mathematics, 1987.

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40

Lewis, Mark A., Sergei V. Petrovskii, and Jonathan R. Potts. The Mathematics Behind Biological Invasions. Springer, 2018.

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41

Tautu, P. Stochastic Spatial Processes: Mathematical Theories and Biological Applications (Lecture Notes in Mathematics). Springer, 1986.

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42

Mathematical and Experimental Modeling of Physical and Biological Processes (Textbooks in Mathematics). Chapman & Hall/CRC, 2008.

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43

Pavlidis, Theodosios. Biological Oscillators: Their Mathematical Analysis. Elsevier Science & Technology Books, 2012.

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44

Mondaini, Rubem P. Mathematical Biology and Biological Physics. WORLD SCIENTIFIC, 2017. http://dx.doi.org/10.1142/10650.

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45

Mathematical models of biological systems. Oxford University Press, 2011.

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46

Mondaini, Rubem P. Mathematical Biology and Biological Physics. World Scientific Publishing Co Pte Ltd, 2017.

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47

Solomon, D. L., and C. F. Walter. Mathematical Models in Biological Discovery. Springer, 2013.

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48

Goriely, Alain. Mathematics and Mechanics of Biological Growth. Springer, 2017.

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49

Radunskaya, Ami, Rebecca Segal, and Blerta Shtylla. Understanding Complex Biological Systems with Mathematics. Springer, 2018.

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50

Understanding Complex Biological Systems with Mathematics. Springer, 2018.

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