Libros de Matemáticas, página 76 de 472

Modern statistics is very different from the dry and dusty discipline of the popular imagination In its place is an exciting subject which uses deep theory and powerful software tools to shed light and enable understanding And it sheds this light on all aspects of our lives enabling astronomers to explore the origins of the universe archaeologists to investigate ancient civilisations governments to understand how to benefit and improve society and businesses to learn how best to provide goods and services Aimed at readers with no prior mathematical knowledge this Very Short Introduction explores and explains how statistics work and how we can decipher them ABOUT THE SERIES The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area These pocket sized books are the perfect way to get ahead in a new subject quickly Our expert authors combine facts analysis perspective new ideas and enthusiasm to make interesting and challenging topics highly readable

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

What enables individually simple insects like ants to act with such precision and purpose as a group How do trillions of neurons produce something as extraordinarily complex as consciousness In this remarkably clear and companionable book leading complex systems scientist Melanie Mitchell provides an intimate tour of the sciences of complexity a broad set of efforts that seek to explain how large scale complex organized and adaptive behavior can emerge from simple interactions among myriad individuals Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies Mitchell brings clarity to the workings of complexity across a broad range of biological technological and social phenomena seeking out the general principles or laws that apply to all of them Richly illustrated Complexity A Guided Tour winner of the 2010 Phi Beta Kappa Book Award in Science offers a wide ranging overview of the ideas underlying complex systems science the current research at the forefront of this field and the prospects for its contribution to solving some of the most important scientific questions of our time

Aiming to demystify the approach it explains how to parameterize and compare models while accounting for uncertainties in data model parameters and model structures The literature offers a bewildering variety of techniques Bayesian calibration data assimilation Kalman filtering model data fusion

Many modelling and control of two link flexible manipulators are presented in this book The lumped parameter modelling method and the assumed modes method modelling are reviewed comprehensively The book also reviews the trajectory tracking problem and tip trajectory tracking problem along with the suppression of tip deflection of the links An exponential time varying signal and a chaotic signal are considered as the desired trajectories The identical non identical slave manipulator is synchronised with the controlled master manipulator so that the slave manipulator indirectly follows the desired manipulator

Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics.Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, randomization, tabu search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization, reoptimization, sensitivity analysis, and stability. Traditional applications covered include: bin packing, multi-dimensional packing, Steiner trees, traveling salesperson, scheduling, and related problems.

Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas, with intuitive proofs, and provides critical examples and numerous illustrations to help elucidate the algorithms. Many of the results presented have been simplified and new insights provided. Of interest to theoretical computer scientists, operations researchers, and discrete mathematicians.