Libros de Matemática aplicada, página 8 de 21

A bold visionary and mind bending exploration of how the geometry of chaos can explain our uncertain world from weather and pandemics to quantum physics and free willCovering a breathtaking range of topics from climate change to the foundations of quantum physics from economic modelling to conflict prediction from free will to consciousness and spirituality The Primacy of Doubt takes us on a unique journey through the science of uncertainty A key theme that unifies these seemingly unconnected topics is the geometry of chaos the beautiful and profound fractal structures that lie at the heart of much of modern mathematics Royal Society Research Professor Tim Palmer shows us how the geometry of chaos not only provides the means to predict the world around us it suggests new insights into some of the most astonishing aspects of our universe and ourselves This important and timely book helps the reader makes sense of uncertainty in a rapidly changing world

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty i e type 2 fuzzy sets and systems The author demonstrates how to overcome the limitations of classical fuzzy sets and systems enabling a wide range of applications from time series forecasting to knowledge mining to control In this new edition a bottom up approach is presented that begins by introducing classical type 1 fuzzy sets and systems and then explains how they can be modified to handle uncertainty The author covers fuzzy rule based systems from type 1 to interval type 2 to general type 2 in one volume For hands on experience the book provides information on accessing MatLab and Java software to complement the content The book features a full suite of classroom material

Theoretical Ecology concepts and applications continues the authoritative and established sequence of theoretical ecology books initiated by Robert M May which helped pave the way for ecology to become a more robust theoretical science encouraging the modern biologist to better understand the mathematics behind their theories This latest instalment builds on the legacy of its predecessors with a completely new set of contributions Rather than placing emphasis on the historical ideas in theoretical ecology the Editors have encouraged each contribution to synthesize historical theoretical ideas within modern frameworks that have emerged in the last 10 20 years e g bridging population interactions to whole food webs describe novel theory that has emerged in the last 20 years from historical empirical areas e g macro ecology and finally to cover the rapidly expanding area of theoretical ecological applications e g disease theory and global change theory The result is a forward looking synthesis that will help guide the field through a further decade of discovery and development It is written for upper level undergraduate students graduate students and researchers seeking synthesis and the state of the art in growing areas of interest in theoretical ec

A bold visionary and mind bending exploration of how the geometry of chaos can explain our uncertain world from weather and pandemics to quantum physics and free willCovering a breathtaking range of topics from climate change to the foundations of quantum physics from economic modelling to conflict prediction from free will to consciousness and spirituality The Primacy of Doubt takes us on a unique journey through the science of uncertainty A key theme that unifies these seemingly unconnected topics is the geometry of chaos the beautiful and profound fractal structures that lie at the heart of much of modern mathematics Royal Society Research Professor Tim Palmer shows us how the geometry of chaos not only provides the means to predict the world around us it suggests new insights into some of the most astonishing aspects of our universe and ourselves This important and timely book helps the reader makes sense of uncertainty in a rapidly changing world

Obra que explica con ejemplos los elementos de matemática discreta.

Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology In step by step detail the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood information theoretic and Bayesian techniques to analyze their own data using the programming language R Drawing on extensive experience teaching these techniques to graduate students in ecology Benjamin Bolker shows how to choose among and construct statistical models for data estimate their parameters and confidence limits and interpret the results The book also covers statistical frameworks the philosophy of statistical modeling and critical mathematical functions and probability distributions It requires no programming background only basic calculus and statistics Practical beginner friendly introduction to modern statistical techniques for ecology using the programming language R Step by step instructions for fitting models to messy real world data Balanced view of different statistical approaches Wide coverage of techniques from simple distribution fitting to complex state space modeling Techniques for data manipulation and graphical display Companion Web site with data and R code for

From a mathematical point of view physiologically structured population models are an underdeveloped branch of the theory of infinite dimensional dynamical systems We have called attention to four aspects i A choice has to be made about the kind of equations one extracts from the predominantly verbal arguments about the basic assumptions and subsequently uses as a starting point for a rigorous mathematical analysis Though differential equations are easy to formulate different mechanisms don t interact in infinites imal time intervals and so end up as separate terms in the equations they may be hard to interpret rigorously as infinitesimal generators Integral equations constitute an attractive alternative ii The ability of physiologically structured population models to increase our un derstanding of the relation between mechanisms at the i level and phenomena at the p level will depend strongly on the development of dynamical systems lab facilities which are applicable to this class of models iii Physiologically structured population models are ideally suited for the for mulation of evolutionary questions Apart from the special case of age see Charlesworth 1980 Yodzis 1989 Caswell 1989 and the references given there hardly any theory exists at th