Last edited by Brazragore

Friday, July 31, 2020 | History

1 edition of **Mathematical analysis of fundamental biological phenomena.** found in the catalog.

Mathematical analysis of fundamental biological phenomena.

- 124 Want to read
- 24 Currently reading

Published
**1974**
by New York Academy of Sciences] in [New York
.

Written in English

- Biology -- Mathematical models.

**Edition Notes**

Statement | Editor, Okan Gurel. |

Series | Annals of the New York Academy of Sciences, v. 231, Annals of the New York Academy of Sciences ;, v. 231. |

Contributions | Gurel, Okan, ed. |

Classifications | |
---|---|

LC Classifications | Q11 .N5 vol. 231, QH323.5 .N5 vol. 231 |

The Physical Object | |

Pagination | 156 p. |

Number of Pages | 156 |

ID Numbers | |

Open Library | OL5098480M |

LC Control Number | 74170373 |

fundamental progress in cell and developmental biology. The tools required to interpret this vast amount of biological data and to test hypotheses based on these studies can be found in quantitative analysis and mathematical modeling. With the book Mathematical Models of Biological Systems, Hugo van den Berg aims to contribute to the training Author: Ilan Davis. The Biological phenomena Are any kind of change that alters the life of ecosystems, biological dependencies and the trophic systems of ecosystems. This means that a biological phenomenon is that becoming that involves the realization of living of at least one .

Deepen students' understanding of biological phenomena Suitable for courses on differential equations with applications to mathematical biology or as an introduction to mathematical biology, Differential Equations and Mathematical Biology, Second Edition introduces students in the physical, mathematical, and biological sciences to fundamental. Progress in plant biology relies on the quantification, analysis and mathematical modeling of data over different time and length scales. This book describes common mathematical and computational.

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Mathematical analysis of fundamental biological phenomena. [New York, New York Academy of Sciences] (OCoLC) Material Type: Conference publication, Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Okan Gurel.

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