Fort hugo (39 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - This book focuses on use-inspired basic science by connecting theoretical methods and mathematical developments in ecology with practical real-world problems, either in production or conservation. The text aims to increase the reader's confidence to rely on partial aspects and relations of systems to which we only have an incomplete understanding. By abstracting and simplifying problems, Ecological Modelling and Ecophysics seeks to expand the reader's understanding and ability to solve practical issues with rigorous quantitative methods. The first part of this book is devoted to classical methods in population and community ecology. The second part aims to introduce the reader to certain tools and techniques from different branches of physics, such as thermodynamics, statistical mechanics and complex systems, and their applications in ecology and environmental sciences. Connecting ecological problems with well-studied phenomena in physics allows the exploiting of analogies to gain deeper insight into these problems, to identify novel questions and problems, and to get access to alternative quantitative methods and tools from physics. This is an essential text for quantitative ecologists and environmental scientists with an interest in novel mathematical approaches, and also applied physicists and mathematicians with an interest in ecological systems.Key Features - Focuses on the practical applications of quantitative ecological models - Practical challenges are drawn from agriculture and environmental science - Applies methods and theories from physics to gain deeper insight into ecological challenges - Covers key quantitative models in ecology including niche theory, mutualism, and game theory - Will be of interest to environmental scientists and biophysicists as well as ecologists.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware - The book aims to bridge the gap between conventional ecological modelling and 'Ecophysics', a neologism that stands for approaching ecological and environmental problems using ideas and techniques from physics. Such approach to the involved complex systems has demonstrated it usefulness to enhance our understanding of intrinsically interdisciplinary problems and inform sustainable practices in agriculture, conservation and environmental management. The motivation behind this book is twofold: to enhance comprehension and to bolster our capacity to tackle practical challenges using rigorous quantitative methods. This is why the structure of the book is designed such that each chapter dedicated to methods in community/population ecology is accompanied by an Application chapter, which presents the practical implementation of the discussed methods. A main objective of these latter chapters is to actively involve readers interested in devising tools and strategies to address their own issues. Among the Applications provided, the first two focus on optimizing agricultural production, specifically livestock production and polyculture crops. The other Applications centre around environmental concerns, including the dynamics of tree species in tropical forests, the identification of early warning signals for catastrophic shifts in lakes and the dynamics of Land Use / Land Cover (LULC), i.e. the categorization or classification of human activities and natural elements on the landscape. What unites these diverse problems is their reliance on population dynamics models.Key Features: - Focuses on the practical applications of quantitative ecological models - Practical challenges are drawn from agriculture and environmental science - Applies methods and theories from physics to gain deeper insight into ecological challenges - Covers key quantitative models in ecology including niche theory, mutualism, and game theory - Will be of interest to environmental scientists and biophysicists as well as ecologists.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: NEW.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Buch. Zustand: Neu. Neuware - Complex systems-characterized by self-organization, emergence, and profound non-linearity-govern everything from global financial markets to ecological stability. Navigating this complexity requires a unified mathematical framework that moves beyond traditional linear models. This book provides that essential toolkit, offering a robust, interdisciplinary approach to simulation, forecasting, and management across engineering, economic, and environmental fields.What sets this volume apart is its integration of ecological and evolutionary perspectives with quantitative approaches to simulate, forecast, and manage complexity in diverse domains including finance, agriculture, and environmental science.Throughout the book, readers will find practical examples, case studies, and advice on how to apply scientific modeling techniques to solve real-world problems. It also presents insights into best practices and strategies for using modeling and simulation effectively in various fields.This book is an indispensable resource for researchers, quantitative analysts, and advanced students in complexity science, evolutionary economics, quantitative finance, and ecological modeling. It provides the theoretical depth and practical, data-driven methods necessary to analyze and manage the world's most challenging complex systems.Key Features - Contains an in-depth treatment of nonlinear dynamics and evolutionary processes as foundational frameworks for understanding complex system behavior. - Provides applications of dynamical systems to real-world problems in ecology, environmental sciences, economics, and financial markets, emphasizing the parallels between biological evolution and market competition. - Presents illustrations through a variety of case studies, featuring practical applications to S&P 500 stock dynamics, optimization of livestock production, and forecasting the collapse of threatened biomes.…

Zustand: New. In English.

Zustand: New. KlappentextA unifying framework, based on Information Entropy and its maximization, to connect the phenomenology of evolutionary biology, community ecology, financial economics, and statistical physics, plus a forecasting method for impo.

Zustand: New. In English.

Zustand: New. Hugo Fort is a professor at the Department of Physics of the Faculty of Sciences at the University of the Republic (Montevideo, Uruguay) and the Head of the Complex Systems Group. After earning his PhD in Physics from the Autonomous University of .

Zustand: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 336 pages. 9.18x6.12x9.21 inches. In Stock.

Buch. Zustand: Neu. Neuware - This book aims at providing a unifying framework, based on Information Entropy and its maximization, to connect the phenomenology of evolutionary biology, community ecology, financial economics, and statistical physics. This more comprehensive view, besides providing further insight into problems, enables problem-solving strategies by applying proven methods in one discipline to formally similar problems in other areas. The book also proposes a forecasting method for important practical problems in these disciplines and is directed to researchers, students and practitioners working on modelling the dynamics of complex systems. The common thread is how the flux of information both controls and serves to predict the dynamics of complex systems. It is shown how maximizing the Shannon information entropy allows one to infer a central object controlling the dynamics of complex systems, such as ecosystems or markets. The resulting models, which are known as pairwise maximum-entropy models, can be used to infer interactions from data in a wide variety of systems. Here, two examples are analysed in detail. The first is an application to conservation ecology, namely the issue of providing early warning indicators of population crashes of species of trees in tropical forests. The second is about forecasting the market values of firms through evolutionary economics. An interesting lesson is that PME modelling often produces accurate predictions despite not incorporating explicit interaction mechanisms. Key features - Written to be suitable for a broad spectrum of readers and assumes little mathematical specialism. - Includes pedagogical features: Worked examples, case studies and summaries. - The interdisciplinary approach builds bridges between disciplines. - Oriented to solve practical problems. - Includes a combination of analytical derivations and numerical simulations with experiments.…

Buch. Zustand: Neu. Modeling Practical Problems in Complex Systems | Simulation, Forecasting, and Management | Hugo Fort | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781032909547 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

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