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Gesamtkatalog

Catalogue complet

This introductory textbook provides detailed coverage of the rapidly growing field of complexity science, for a broad audience of readers.

Jensen Henrik Jeldtoft: COMPLEXITY
SCIENCE

COMPLEXITY SCIENCE

The Study of Emergence

Part I. Conceptual Foundation of Complexity Science: 1. The Science of Emergence; 2. Conceptual Framework of Emergence; 3. Specific Types of Emergent Behaviour; 4. The Value of Prototypical Models of Emergence; Part II. Mathematical Tools of Complexity Science: 5. Branching Processes; 6. Statistical Mechanics; 7. Synchronisation; 8. Network Theory; 9. Information Theory and Entropy; 10. Stochastic Dynamics and Equations for the Probabilities; 11. Agent-Based Modelling; 12. Intermittency; 13. Tipping Points, Transitions and Forecasting; 14. Concluding Comments and a Look to the Future.

The ultimate collection of Einstein’s public writings on everything from religion and art to pacifism and the atomic bomb The Essential Einstein: Public Writings presents a rich selection of Einstein’s humanistic writings drawn from a diverse array of materials he sanctioned for publication during his lifetime. Distinct from previous collections, this incisive book presents previously excerpted works in their entirety, including key articles, lectures, and speeches. These writings delve into significant topics such as philosophy, religion, and art, but also specific important and often contentious issues in education, politics, disarmament, pacifism, international cooperation, the atomic bomb, and Zionism. Among these works, readers will find the brilliant “Notes for an Autobiography” alongside selected popular science articles, which offer a profound understanding of Einstein’s ethical and political worldview. The Essential Einstein is a two-volume compendium offering general readers and specialists alike a comprehensive resource on the pivotal writings of Albert Einstein. Organized chronologically by leading authorities on Einstein and his work, this collection illuminates the evolution of Einstein’s scientific and humanistic ideas throughout his life. Each selection is accompanied by explanatory notes that detail the work’s background and significance. Together with The Essential Einstein: Scientific Writings, this authoritative collection invites a deeper engagement with the intellectual legacy and enduring influence of Albert Einstein.

The Essential Einstein: Public Writings

Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to combine existing building blocks to create new models and creative applications in different domains. This go-to book introduces theoretical concepts followed by guided practical applications, with extensive code samples and easy-to-understand illustrations. You'll learn how to use open source libraries to utilize transformers and diffusion models, conduct code exploration, and study several existing projects to help guide your work. <ul> <li>Build and customize models that can generate text and images </li><li>Explore trade-offs between using a pretrained model and fine-tuning your own model </li><li>Create and utilize models that can generate, edit, and modify images in any style </li><li>Customize transformers and diffusion models for multiple creative purposes </li><li>Train models that can reflect your own unique style </li></ul>

Hands-On Generative AI with Transformers and Diffusion Models

Focusing on the physics of the&nbsp;catastrophe process and addressed directly to advanced students, this innovative textbook quantifies dozens of perils, both natural and man-made, and covers the latest developments in catastrophe modelling. Combining basic statistics, applied physics, natural and environmental sciences, civil engineering, and psychology, the text remains at an introductory level, focusing on fundamental concepts for a comprehensive understanding of catastrophe phenomenology and risk quantification. A broad spectrum of perils are covered, including geophysical, hydrological, meteorological, climatological, biological, extraterrestrial, technological and socio-economic, as well as events caused by domino effects and global warming. Following industry standards, the text provides the necessary tools to develop a CAT model from hazard to loss assessment. Online resources include a&nbsp;CAT risk model starter-kit and a CAT risk modelling 'sandbox' with Python Jupyter tutorial.&nbsp;Every process, described by equations, (pseudo)codes and illustrations, is fully reproducible, allowing students to solidify knowledge through practice.

A Physics-based Approach

Introduction to Catastrophe Risk Modelling

Chapman & Hall/CRC Computational Science

Illustrating theoretical foundations and incorporating practitioners' first-hand experience, book is a practical guide to successful Autonomous Experimentation.

Methods and Applications of Autonomous Experimentation

Shortlisted for the Women's Prize for Non-Fiction 2024 AI is changing what it means to be human. This is the unrivalled investigation into the impact of AI on how we live now. 'The intimate investigation of AI that we've been waiting for, and it arrives not a moment too soon' - Shoshana Zuboff, author of The Age of Surveillance Capitalism Through the voices of ordinary people in places far removed from Silicon Valley, Code Dependent explores the impact of a set of powerful, flawed, and often exploitative technologies on individuals, communities, and our wider society. Madhumita Murgia, AI Editor at the FT, exposes how AI can strip away our collective and individual sense of agency - and shatter our illusion of free will. AI is already changing what it means to be human, in ways large and small. In this compelling work, Murgia reveals what could happen if we fail to reclaim our humanity. 'A nuanced, thoughtful and very accessible picture of a world deeply affected by AI' - Martha Lane Fox 'Highly readable and deeply important' - The Guardian 'Code Dependent is the No Logo of the 2020s' - The Times

Living in the Shadow of AI

Code Dependent

Group Theory has been an essential tool of theoretical physics for about a century. During the early days of quantum theory, it was useful to formulate symmetries of systems and to solve for their spectra. Later it was found, in the standard model, that certain groups determine the fundamental interactions of elementary particle. It is not possible to understand modern theoretical physics without knowing group theory.

This book is an introduction to group theoretical ideas that arising in classical or quantum mechanics as well as Gield theory. The emphasis is on concepts, although some calculations are done in detail. The intended audience is a graduate student who has already learned mechanics, quantum mechanics as well as some Gield theory (e.g., Maxwell equations in their relativistic form).

Among the topics covered are the rotation group and its representations; group extensions and their relevance to spinors; the Lorentz group and relativistic wave equations; the gaussian unitary ensemble of random matrices; the quark model; the Peter-Weyl theorem for Ginite groups as well as compact Lie groups.

There are hints that future physics will need symmetries that go beyond the idea of a group. An introduction to such "quantum groups" is included as well.

The book concludes with a study of a class of mechanical systems (Euler-Arnold) which include the rigid body and the ideal Gluids as examples. Some toy models that are one step away from being exactly solvable are studied as examples of chaos.

Physics Through Symmetries

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming

Using SAS Enterprise Miner

Data Science and Machine Learning for Non-Programmers

Prepare to view the world through a new lens - SPEED - a groundbreaking exploration that challenges your perceptions of life's driving force, from the internationally bestselling author 'There is no author whose books I look forward to more' Bill Gates 'There is perhaps no other academic who paints pictures with numbers like Smil' Guardian In a world that feels like it's moving faster than ever, Smil examines how our relentless pursuit of speed - in areas such as production, travel and communication - shapes not only our technological landscape but also our social and environmental realities. And through engaging anecdotes and striking statistics, Smil challenges the assumption that faster is always better. He invites readers to reconsider the implications of our collective obsession with speed, and its intricate relationship with nature and innovation. For example, he highlights the surprising fact that erosion can actually accelerate mountain growth, and he points out that the rapid adoption of mobile phones - achieving 90 per cent penetration in just nineteen years - reflects historical patterns of technological adoption, suggesting that our world may not be moving significantly faster than in the past. Whether exploring the tiny mites that can traverse 300 times their body length in a second or the societal impacts of high-frequency trading, Speed invites readers to engage in a more balanced conversation about the role of speed in our lives, in an age defined by haste.

How it Explains the World

Speed

Elements in Econophysics

This Element presents the ?-generalized distribution, a statistical model tailored for the analysis of income distribution. Developed over years of collaborative, multidisciplinary research, it clarifies the statistical properties of the model, assesses its empirical validity and compares its effectiveness with other parametric models.

The κ-Statistics Approach to Income Distribution Analysis

Understand algorithms and their design with this revised student-friendly textbook. Unlike other algorithms books, this one is approachable, the methods it explains are straightforward, and the insights it provides are numerous and valuable. Without grinding through lots of formal proof, students will benefit from step-by-step methods for developing algorithms, expert guidance on common pitfalls, and an appreciation of the bigger picture. Revised and updated, this second edition includes a new chapter on machine learning algorithms, and concise key concept summaries at the end of each part for quick reference. Also new to this edition are more than 150 new exercises: selected solutions are included to let students check their progress, while a full solutions manual is available online for instructors. No other text explains complex topics such as loop invariants as clearly, helping students to think abstractly and preparing them for creating their own innovative ways to solve problems.

How to Think about Algorithms

THE #2 TIMES BESTSELLER'Artificial intelligence is going to have a massive impact on everyone's lives... an accessible and sensible read that helps demystify AI' Deborah Meaden, entrepreneur and star of Dragon's Den'Nigel Toon is a visionary leader in the field of artificial intelligence... a must-read' Marc Tremblay, Distinguished Engineer, MicrosoftThose who understand how AI thinks are about to win big. We are used to thinking of computers as being a step up from calculators - very good at storing information, and maybe even at playing a logical game like chess. But up to now they haven't been able to think in ways that are intuitive, or respond to questions as a human might. All that has changed, dramatically, in the past few years. Our search engines are becoming answer engines. Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts. But how does an AI understand sentiment or context? How does it play and win games that have an almost infinite number of moves? And how can we work with AI to produce insights and innovations that are beyond human capacity, from writing code in an instant to unfolding the elaborate 3D puzzles of proteins?We stand at the brink of a historic change that will disrupt society and at the same time create enormous opportunities for those who understand how AI thinks. Nigel Toon shows how we train AI to train itself, so that it can paint images that have never existed before or converse in any language. In doing so he reveals the strange and fascinating ways that humans think, too, as we learn how to live in a world shared by machine intelligences of our own creation.

How we built it, how it can help us, and how we can control it

How AI Thinks

Mathematical Engineering, Manufacturing, and Management Sciences

In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data. From governmental institutions to private entities, statistical prediction models provide a critical framework for optimal decision-making, offering nuanced insights into diverse realms, from climate to production and beyond.This book·Serves as a comprehensive resource in statistical modeling, methodologies, and optimization techniques across various domains.·Features contributions from global authors; the compilation comprises 10 insightful chapters, each addressing critical aspects of estimation and optimization through statistical modeling.·Covers a spectrum of topics, from non-parametric goodness-of-fit statistics to Bayesian applications; the book explores novel resampling methods, advanced measures for empirical mode, and transient behavior analysis in queueing systems.·Includes asymptotic properties of goodness-of-fit statistics, practical applications of Bayesian Statistics, modifications to the Hard EM algorithm, and explicit transient probabilities.·Culminates with an exploration of an inventory model for perishable items, integrating preservation technology and learning effects to determine the economic order quantity.This book stands as a testament to global collaboration, offering a rich tapestry of commendable statistical and mathematical modeling alongside real-world problem-solving. It is poised to ignite further exploration, discussion, and innovation in the realms of statistical modeling and optimization.

Unraveling Insights through Advanced Analytical Techniques

Statistical Modeling and Applications on Real-Time Problems

COMPLEXITY SCIENCE

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