Modelling Practical Problems in Complex Systems
Simulation, Forecasting and Management
-
GET 10% OFF
- Publisher's listprice GBP 94.99
-
45 381 Ft (43 220 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 4 538 Ft off)
- Discounted price 40 843 Ft (38 898 Ft + 5% VAT)
40 843 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 14 May 2026
- ISBN 9781032909547
- Binding Hardback
- No. of pages322 pages
- Size 234x156 mm
- Language English
- Illustrations 89 Illustrations, black & white; 13 Halftones, black & white; 76 Line drawings, black & white; 29 Tables, black & white 700
Categories
Short description:
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.
MoreLong description:
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.
Table of Contents:
Chapter 1 COMPLEX SYSTEMS AND PREDICTABILITY Chapter 2 NONLINEAR DYNAMICS Chapter 3 EVOLUTIONARY DYNAMICS Chapter 4 POPULATION DYNAMICS APPROACHES TO ECONOMICS AND FINANCE Chapter 5 A PROBABILISTIC FRAMEWORK FOR PREDICTABILITY BASED ON INFORMATION THEORY Chapter 6 FORECASTING METHODS FOR COMPLEX SYSTEMS Chapter 7 CONTROL AND MANAGEMENT OF COMPLEX SYSTEMS: PRACTICAL EXAMPLES IN AGRICULTURE & ENVIRONMENTAL SCIENCE Chapter 8 THE LIMITS OF PREDICTABILITY THROUGH MATHEMATICS AND COMPUTATION
More
