ISBN: 9781032909547 - modeling practical problems in complex systems: simulation, forecasting, and management (25 resultados)

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Hardback. Condición: New. 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 FeaturesContains 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 SandP 500 stock dynamics, optimization of livestock production, and forecasting the collapse of threatened biomes.…

Condición: 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 .

Buch. Condición: 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.…

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Hardback. Condición: New. 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 FeaturesContains 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 SandP 500 stock dynamics, optimization of livestock production, and forecasting the collapse of threatened biomes.…

Hardcover. Condición: new. Hardcover. Complex systemscharacterized by self-organization, emergence, and profound non-linearitygovern 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 FeaturesContains 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. This book provides a unified mathematical framework to simulation, forecasting, and management across engineering, economic, and environmental fields. An essential resource for researchers, quantitative analysts, and advanced students in complexity science, evolutionary economics, quantitative finance, and ecological modeling. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: new. Hardcover. Complex systemscharacterized by self-organization, emergence, and profound non-linearitygovern 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 FeaturesContains 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. This book provides a unified mathematical framework to simulation, forecasting, and management across engineering, economic, and environmental fields. An essential resource for researchers, quantitative analysts, and advanced students in complexity science, evolutionary economics, quantitative finance, and ecological modeling. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: Brand New. 336 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condición: new. Hardcover. Complex systemscharacterized by self-organization, emergence, and profound non-linearitygovern 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 FeaturesContains 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. This book provides a unified mathematical framework to simulation, forecasting, and management across engineering, economic, and environmental fields. An essential resource for researchers, quantitative analysts, and advanced students in complexity science, evolutionary economics, quantitative finance, and ecological modeling. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. Condición: 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 Print on Demand. …