Modeling Nature

DOWNLOAD
Download Modeling Nature PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Modeling Nature book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Modeling Nature
DOWNLOAD
Author : Sharon E. Kingsland
language : en
Publisher: University of Chicago Press
Release Date : 1995-10-16
Modeling Nature written by Sharon E. Kingsland and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-10-16 with Science categories.
The first history of population ecology traces two generations of science and scientists from the opening of the twentieth century through 1970. Kingsland chronicles the careers of key figures and the field's theoretical, empirical, and institutional development, with special attention to tensions between the descriptive studies of field biologists and later mathematical models. This second edition includes a new afterword that brings the book up to date, with special attention to the rise of "the new natural history" and debates about ecology's future as a large-scale scientific enterprise.
The Modeling Of Nature
DOWNLOAD
Author : William A Wallace
language : en
Publisher: CUA Press
Release Date : 1996
The Modeling Of Nature written by William A Wallace and has been published by CUA Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Philosophy categories.
The Modeling of Nature provides an excellent introduction to the fundamentals of natural philosophy, psychology, logic, and epistemology.
Mathematics In Nature
DOWNLOAD
Author : John Adam
language : en
Publisher: Princeton University Press
Release Date : 2011-10-02
Mathematics In Nature written by John Adam and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-02 with Mathematics categories.
From rainbows, river meanders, and shadows to spider webs, honeycombs, and the markings on animal coats, the visible world is full of patterns that can be described mathematically. Examining such readily observable phenomena, this book introduces readers to the beauty of nature as revealed by mathematics and the beauty of mathematics as revealed in nature. Generously illustrated, written in an informal style, and replete with examples from everyday life, Mathematics in Nature is an excellent and undaunting introduction to the ideas and methods of mathematical modeling. It illustrates how mathematics can be used to formulate and solve puzzles observed in nature and to interpret the solutions. In the process, it teaches such topics as the art of estimation and the effects of scale, particularly what happens as things get bigger. Readers will develop an understanding of the symbiosis that exists between basic scientific principles and their mathematical expressions as well as a deeper appreciation for such natural phenomena as cloud formations, halos and glories, tree heights and leaf patterns, butterfly and moth wings, and even puddles and mud cracks. Developed out of a university course, this book makes an ideal supplemental text for courses in applied mathematics and mathematical modeling. It will also appeal to mathematics educators and enthusiasts at all levels, and is designed so that it can be dipped into at leisure.
Modeling Nature
DOWNLOAD
Author : Richard J. Gaylord
language : en
Publisher: Springer
Release Date : 2013-12-21
Modeling Nature written by Richard J. Gaylord and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-21 with Science categories.
This is the first volume in a suite of short, inexpensive, paperbound volumes intended for student usage as textbooks, or course supplements, and for purchase as single-copy reference works for professionals in specific disciplines, and, in some cases, for interdisciplinary use. This title focuses on cellular automata simulations while using Mathematica, thus its audience is a generally broad one, although physicists, life scientists and engineers will find this title to be of particular interest. Those familiar with Gaylord's previous book, coauthored with Paul Wellin, "Computer Simulations with Mathematica - Explorations in Complex Biological and Physical Systems", also published by TELOS, will find this new title to be an in-depth extension of some topics dealt with in that book. Modeling Nature: Cellular Automata Simulations with Mathematica, however, contains simulations not found in the Gaylord-Wellin volume. This book will have a DOS-diskette packaged with it, enabling cross-platform access to the code. These data files will also be made accessible online via the Internet at telospub.com FTP and WWW sites.
Modeling Life
DOWNLOAD
Author : Alan Garfinkel
language : en
Publisher: Springer
Release Date : 2017-09-06
Modeling Life written by Alan Garfinkel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-06 with Mathematics categories.
This book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. Complex feedback relations and counter-intuitive responses are common in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler’s method makes nonlinear examples tractable and accessible to a broad spectrum of early-stage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a two-quarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, real-world framework. In all cases, the focus is clear: how does the math help us understand the science?
Nature Inspired Computing And Optimization
DOWNLOAD
Author : Srikanta Patnaik
language : en
Publisher: Springer
Release Date : 2017-03-07
Nature Inspired Computing And Optimization written by Srikanta Patnaik and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-07 with Technology & Engineering categories.
The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.
Modeling Nature
DOWNLOAD
Author : Richard J. Gaylord
language : en
Publisher:
Release Date : 2014-08-15
Modeling Nature written by Richard J. Gaylord and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-15 with categories.
Clinical Prediction Models
DOWNLOAD
Author : Ewout W. Steyerberg
language : en
Publisher: Springer
Release Date : 2019-07-22
Clinical Prediction Models written by Ewout W. Steyerberg and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-22 with Medical categories.
The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of avalid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies
The Nature Of Technology
DOWNLOAD
Author : W. Brian Arthur
language : en
Publisher: Simon and Schuster
Release Date : 2009-08-11
The Nature Of Technology written by W. Brian Arthur and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-11 with Science categories.
“More than anything else technology creates our world. It creates our wealth, our economy, our very way of being,” says W. Brian Arthur. Yet despite technology’s irrefutable importance in our daily lives, until now its major questions have gone unanswered. Where do new technologies come from? What constitutes innovation, and how is it achieved? Does technology, like biological life, evolve? In this groundbreaking work, pioneering technology thinker and economist W. Brian Arthur answers these questions and more, setting forth a boldly original way of thinking about technology. The Nature of Technology is an elegant and powerful theory of technology’s origins and evolution. Achieving for the development of technology what Thomas Kuhn’s The Structure of Scientific Revolutions did for scientific progress, Arthur explains how transformative new technologies arise and how innovation really works. Drawing on a wealth of examples, from historical inventions to the high-tech wonders of today, Arthur takes us on a mind-opening journey that will change the way we think about technology and how it structures our lives. The Nature of Technology is a classic for our times.
Ordered Data Analysis Modeling And Health Research Methods
DOWNLOAD
Author : Pankaj Choudhary
language : en
Publisher: Springer
Release Date : 2015-12-14
Ordered Data Analysis Modeling And Health Research Methods written by Pankaj Choudhary and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-14 with Mathematics categories.
This volume presents an eclectic mix of original research articles in areas covering the analysis of ordered data, stochastic modeling and biostatistics. These areas were featured in a conference held at the University of Texas at Dallas from March 7 to 9, 2014 in honor of Professor H. N. Nagaraja’s 60th birthday and his distinguished contributions to statistics. The articles were written by leading experts who were invited to contribute to the volume from among the conference participants. The volume is intended for all researchers with an interest in order statistics, distribution theory, analysis of censored data, stochastic modeling, time series analysis, and statistical methods for the health sciences, including statistical genetics.