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- Author: Gennadiy Vladimirovich Zhizhin
- Publisher: Engineering Science Reference
- ISBN-10: 1522596518
- ISBN-13: 9781522596516
- Format: 17.8 x 25.4 x 1.6 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Attractors and Higher Dimensions in Population and Molecular Biology (e-book) (used book) | bookbook.eu
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Description
In studying biology, one of the more difficult factors to predict is how parents' attributes will affect their children and how those children will affect their own children. Organizing and calculating those vast statistics can become extremely tedious without the proper mathematical and reproductive knowledge. Attractors and Higher Dimensions in Population and Molecular Biology: Emerging Research and Opportunities is a collection of innovative research on the methods and applications of population logistics. While highlighting topics including gene analysis, crossbreeding, and reproduction, this book is ideally designed for academics, researchers, biologists, and mathematicians seeking current research on modeling the reproduction process of a biological population.
EXTRA 10 % discount with code: EXTRA
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- Author: Gennadiy Vladimirovich Zhizhin
- Publisher: Engineering Science Reference
- ISBN-10: 1522596518
- ISBN-13: 9781522596516
- Format: 17.8 x 25.4 x 1.6 cm, kieti viršeliai
- Language: English English
In studying biology, one of the more difficult factors to predict is how parents' attributes will affect their children and how those children will affect their own children. Organizing and calculating those vast statistics can become extremely tedious without the proper mathematical and reproductive knowledge. Attractors and Higher Dimensions in Population and Molecular Biology: Emerging Research and Opportunities is a collection of innovative research on the methods and applications of population logistics. While highlighting topics including gene analysis, crossbreeding, and reproduction, this book is ideally designed for academics, researchers, biologists, and mathematicians seeking current research on modeling the reproduction process of a biological population.
Reviews