A captivating journey to the outer reaches of human knowledge

Ever since the dawn of civilization we have been driven by a desire to know–to understand the physical world and the laws of nature. But are there limits to human knowledge? Are some things beyond the predictive powers of science, or are those challenges simply the next big discovery waiting to happen?
Marcus du Sautoy takes us into the minds of science’s greatest innovators and reminds us that major breakthroughs were often ridiculed at the time of their discovery. Then he carries us on a whirlwind tour of seven “Edges” of knowledge – inviting us to consider the problems in quantum physics, cosmology, probability and neuroscience that continue to bedevil scientists who are at the front of their fields. He grounds his personal exploration of some of science’s thorniest questions in simple concepts like the roll of dice, the notes of a cello, or how a clock measures time. 

Exhilarating, mind-bending, and compulsively readable, The Great Unknown challenges us to think in new ways about every aspect of the known world as it invites us to consider big questions that no one has yet managed to answer definitively.

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A compelling firsthand account of Keith Devlin’s ten-year quest to tell Fibonacci’s story

In 2000, Keith Devlin set out to research the life and legacy of the medieval mathematician Leonardo of Pisa, popularly known as Fibonacci, whose book Liber abbaci has quite literally affected the lives of everyone alive today. Although he is most famous for the Fibonacci numbers–which, it so happens, he didn’t invent–Fibonacci’s greatest contribution was as an expositor of mathematical ideas at a level ordinary people could understand. In 1202, Liber abbaci–the “Book of Calculation”–introduced modern arithmetic to the Western world. Yet Fibonacci was long forgotten after his death, and it was not until the 1960s that his true achievements were finally recognized.

Finding Fibonacci is Devlin’s compelling firsthand account of his ten-year quest to tell Fibonacci’s story. Devlin, a math expositor himself, kept a diary of the undertaking, which he draws on here to describe the project’s highs and lows, its false starts and disappointments, the tragedies and unexpected turns, some hilarious episodes, and the occasional lucky breaks. You will also meet the unique individuals Devlin encountered along the way, people who, each for their own reasons, became fascinated by Fibonacci, from the Yale professor who traced modern finance back to Fibonacci to the Italian historian who made the crucial archival discovery that brought together all the threads of Fibonacci’s astonishing story.

Fibonacci helped to revive the West as the cradle of science, technology, and commerce, yet he vanished from the pages of history. This is Devlin’s search to find him.

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This wide-ranging overview of design in everyday life demonstrates how design shapes our lives in ways most of us would never imagine. The author, a leading expert in social and psychological issues in design, uncovers the gender, age, and body biases inherent in the designs of common products and living spaces that we all routinely use. From the schools our children attend and the buildings we work in to ill-fitting clothes and one-size-fits-all seating in public transportation, restaurants, and movie theaters, we are surrounded by an artificial environment that can affect our comfort, our self-image, and even our health.

Anthony points out the flaws and disadvantages of certain fashions, children’s toys, high-tech gadgets, packaging, public transportation, public restrooms, neighborhood layouts, classrooms, workplaces, hospitals, and more. In an increasingly diverse populace where many body types, age groups, and cultures interact, she argues that it’s time our environments caught up.

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This monograph presents a general mathematical theory for biological growth. It provides both a conceptual and a technical foundation for the understanding and analysis of problems arising in biology and physiology. The theory and methods are illustrated on a wide range of examples and applications.

A process of extreme complexity, growth plays a fundamental role in many biological processes and is considered to be the hallmark of life itself. Its description has been one of the fundamental problems of life sciences, but until recently, it has not attracted much attention from mathematicians, physicists, and engineers. The author herein presents the first major technical monograph on the problem of growth since D’Arcy Wentworth Thompson’s 1917 book On Growth and Form.

The emphasis of the book is on the proper mathematical formulation of growth kinematics and mechanics. Accordingly, the discussion proceeds in order of complexity and the book is divided into five parts. First, a general introduction on the problem of growth from a historical perspective is given.  Then, basic concepts are introduced within the context of growth in filamentary structures. These ideas are then generalized to surfaces and membranes and eventually to the general case of volumetric growth. The book concludes with a discussion of open problems and outstanding challenges.  

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Network science offers a powerful language to represent and study complex systems composed of interacting elements from the Internet to social and biological systems. In its standard formulation, this framework relies on the assumption that the underlying topology is static, or changing very slowly as compared to dynamical processes taking place on it, e.g., epidemic spreading or navigation. Fuelled by the increasing availability of longitudinal networked data, recent empirical observations have shown that this assumption is not valid in a variety of situations. Instead, often the network itself presents rich temporal properties and new tools are required to properly describe and analyse their behaviour.A Guide to Temporal Networks presents recent theoretical and modelling progress in the emerging field of temporally varying networks, and provides connections between different areas of knowledge required to address this multi-disciplinary subject. After an introduction to key concepts on networks and stochastic dynamics, the authors guide the reader through a coherent selection of mathematical and computational tools for network dynamics. Perfect for students and professionals, this book is a gateway to an active field of research developing between the disciplines of applied mathematics, physics and computer science, with applications in others including social sciences, neuroscience and biology.

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