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
© 2011 Princeton University Press (전자책 ): 9781400840915
출시일
전자책 : 2011년 9월 19일
태그
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
© 2011 Princeton University Press (전자책 ): 9781400840915
출시일
전자책 : 2011년 9월 19일
태그
격이 다른 오디오북 생활을 경험해보세요!
1 평점을 기준으로 한 전체 평점
영감을 줘요
술술 넘어가네요
동기부여가 돼요
대화에 참여하고 리뷰를 추가하려면 앱을 다운로드하세요.
한국어
대한민국