Understanding Complex Biological Systems with Mathematics

Ami Radunskaya

ISBN 10: 3319980823 / ISBN 13: 9783319980829

Published by Springer International Publishing Nov 2018, 2018

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This volume examines a variety of biological and medical problems using mathematical models to understand complex system dynamics. Featured topics include autism spectrum disorder, ectoparasites and allogrooming, argasid ticks dynamics, super-fast nematocyst firing, cancer-immune population dynamics, and the spread of disease through populations. Applications are investigated with mathematical models using a variety of techniques in ordinary and partial differential equations, difference equations, Markov-chain models, Monte-Carlo simulations, network theory, image analysis, and immersed boundary method. Each article offers a thorough explanation of the methodologies used and numerous tables and color illustrations to explain key results. This volume is suitable for graduate students and researchers interested in current applications of mathematical models in the biosciences.The research featured in this volume began among newly-formed collaborative groups at the 2017 Women Advancing Mathematical Biology Workshop that took place at the Mathematical Biosciences Institute in Columbus, Ohio. The groups spent one intensive week working at MBI and continued their collaborations after the workshop, resulting in the work presented in this volume. 212 pp. Englisch.

Seller Inventory # 9783319980829

Bibliographic Details

• Title: Understanding Complex Biological Systems with Mathematics
• Publisher: Springer International Publishing Nov 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 3319980823
• ISBN 13: 9783319980829
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 17D millimeters 241 millimeters width by 160 millimeters height by 17 millimeters depth
• Weight: 527 grams

About this title

Synopsis

This volume examines a variety of biological and medical problems using mathematical models to understand complex system dynamics. Featured topics include autism spectrum disorder, ectoparasites and allogrooming, argasid ticks dynamics, super-fast nematocyst firing, cancer-immune population dynamics, and the spread of disease through populations. Applications are investigated with mathematical models using a variety of techniques in ordinary and partial differential equations, difference equations, Markov-chain models, Monte-Carlo simulations, network theory, image analysis, and immersed boundary method. Each article offers a thorough explanation of the methodologies used and numerous tables and color illustrations to explain key results. This volume is suitable for graduate students and researchers interested in current applications of mathematical models in the biosciences.

The research featured in this volume began among newly-formed collaborative groups at the 2017 Women Advancing Mathematical Biology Workshop that took place at the Mathematical Biosciences Institute in Columbus, Ohio. The groups spent one intensive week working at MBI and continued their collaborations after the workshop, resulting in the work presented in this volume.

About the Author

Ami Radunskaya is a professor of mathematics at Pomona College, the President of the Association for Women in Mathematics (2017-2018), and a Fellow of the American Mathematical Society. 

Rebecca Segal is an associate professor of mathematics at Virginia Commonwealth University.

Blerta Shtylla is an assistant professor of mathematics at Pomona College.