Biocalculus Calculus For Life Sciences PDF Book

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Biocalculus: Calculus for Life Sciences

Author : James Stewart,Troy Day
Publisher : Cengage Learning
Release : 2015-01-01
Category : Mathematics
ISBN : 1133109632
File Size : 37,9 Mb
Total Download : 842

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Book Summary: The chief goal in this textbook is to show students how calculus relates to biology, with a style that maintains rigor without being overly formal. The text motivates and illustrates the topics of calculus with examples drawn from many areas of biology, including genetics, biomechanics, medicine, pharmacology, physiology, ecology, epidemiology, and evolution, to name a few. Particular attention has been paid to ensuring that all applications of the mathematics are genuine, and references to the primary biological literature for many of these has been provided so that students and instructors can explore the applications in greater depth. Although the focus is on the interface between mathematics and the life sciences, the logical structure of the book is motivated by the mathematical material. Students will come away from a course based on this book with a sound knowledge of mathematics and an understanding of the importance of mathematical arguments. Equally important, they will also come away with a clear understanding of how these mathematical concepts and techniques are central in the life sciences. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Biocalculus: Calculus, Probability, and Statistics for the Life Sciences

Author : James Stewart,Troy Day
Publisher : Cengage Learning
Release : 2015-06-30
Category : Mathematics
ISBN : 1305114035
File Size : 47,9 Mb
Total Download : 495

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Book Summary: BIOCALCULUS: CALCULUS, PROBABILITY, AND STATISTICS FOR THE LIFE SCIENCES shows students how calculus relates to biology, with a style that maintains rigor without being overly formal. The text motivates and illustrates the topics of calculus with examples drawn from many areas of biology, including genetics, biomechanics, medicine, pharmacology, physiology, ecology, epidemiology, and evolution, to name a few. Particular attention has been paid to ensuring that all applications of the mathematics are genuine, and references to the primary biological literature for many of these has been provided so that students and instructors can explore the applications in greater depth. Although the focus is on the interface between mathematics and the life sciences, the logical structure of the book is motivated by the mathematical material. Students will come away with a sound knowledge of mathematics, an understanding of the importance of mathematical arguments, and a clear understanding of how these mathematical concepts and techniques are central in the life sciences. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

A Biologist's Guide to Mathematical Modeling in Ecology and Evolution

Author : Sarah P. Otto,Troy Day
Publisher : Princeton University Press
Release : 2011-09-19
Category : Science
ISBN : 9781400840915
File Size : 43,8 Mb
Total Download : 145

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Book Summary: Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus. Otto and Day then gradually build in depth and complexity, from classic models in ecology and evolution to more intricate class-structured and probabilistic models. The authors provide primers with instructive exercises to introduce readers to the more advanced subjects of linear algebra and probability theory. Through examples, they describe how models have been used to understand such topics as the spread of HIV, chaos, the age structure of a country, speciation, and extinction. Ecologists and evolutionary biologists today need enough mathematical training to be able to assess the power and limits of biological models and to develop theories and models themselves. This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists. A how-to guide for developing new mathematical models in biology Provides step-by-step recipes for constructing and analyzing models Interesting biological applications Explores classical models in ecology and evolution Questions at the end of every chapter Primers cover important mathematical topics Exercises with answers Appendixes summarize useful rules Labs and advanced material available

Calculus for the Life Sciences

Author : Frederick R. Adler,Miroslav Lovric
Publisher : Cengage Learning Canada Inc
Release : 2023-03-20
Category : Mathematics
ISBN : 9780176481599
File Size : 18,9 Mb
Total Download : 479

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Book Summary:

Physics for the Life Sciences

Author : Martin Zinke-Allmang,Ken Sills,Eduardo Galiano-Riveros,Reza Nejat
Publisher : Cengage Learning
Release : 2012
Category : Life sciences
ISBN : 0176502688
File Size : 51,8 Mb
Total Download : 701

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Book Summary: The second edition of Physics for the Life Sciences brings the beauty of physics to life. Taking an algebra-based approach with the selective use of calculus, the second edition provides a concise approach to basic physics concepts using a fresh layout, consistent and student-tested art program, extensive use of conceptual examples, analytical problems, and instructive and engaging case studies.

Calculus for the Life Sciences, Global Edition

Author : Raymond N. Greenwell,Nathan P. Ritchey,Margaret L. Lial
Publisher : Pearson Higher Ed
Release : 2015-03-05
Category : Mathematics
ISBN : 9781292071978
File Size : 38,8 Mb
Total Download : 987

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Book Summary: The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. Calculus for the Life Sciences features interesting, relevant applications that motivate students and highlight the utility of mathematics for the life sciences. This edition also features new ways to engage students with the material, such as Your Turn exercises.

Mathematics for the Life Sciences

Author : Glenn Ledder
Publisher : Springer Science & Business Media
Release : 2013-08-29
Category : Mathematics
ISBN : 9781461472766
File Size : 29,9 Mb
Total Download : 420

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Book Summary: ​ ​​ Mathematics for the Life Sciences provides present and future biologists with the mathematical concepts and tools needed to understand and use mathematical models and read advanced mathematical biology books. It presents mathematics in biological contexts, focusing on the central mathematical ideas, and providing detailed explanations. The author assumes no mathematics background beyond algebra and precalculus. Calculus is presented as a one-chapter primer that is suitable for readers who have not studied the subject before, as well as readers who have taken a calculus course and need a review. This primer is followed by a novel chapter on mathematical modeling that begins with discussions of biological data and the basic principles of modeling. The remainder of the chapter introduces the reader to topics in mechanistic modeling (deriving models from biological assumptions) and empirical modeling (using data to parameterize and select models). The modeling chapter contains a thorough treatment of key ideas and techniques that are often neglected in mathematics books. It also provides the reader with a sophisticated viewpoint and the essential background needed to make full use of the remainder of the book, which includes two chapters on probability and its applications to inferential statistics and three chapters on discrete and continuous dynamical systems. The biological content of the book is self-contained and includes many basic biology topics such as the genetic code, Mendelian genetics, population dynamics, predator-prey relationships, epidemiology, and immunology. The large number of problem sets include some drill problems along with a large number of case studies. The latter are divided into step-by-step problems and sorted into the appropriate section, allowing readers to gradually develop complete investigations from understanding the biological assumptions to a complete analysis.