This book provides a comprehensive review on tensor algebra, including tensor products, tensor unfolding, tensor eigenvalues, and tensor decompositions. Tensors are multidimensional arrays generalized from vectors and matrices, which can capture higher-order interactions within multiway data. In addition, tensors have wide applications in many domains such as signal processing, machine learning, and data analysis, and the author explores the role of tensors/tensor algebra in tensor-based d...

Food and the systems that produce, disrupt, prepare it are central to all human life. Yet, scholarly analysis of the food systems that support human life are highly fragmented across a variety of disciplines. Public administration, with its focus on the doing of public policy, would seem to be a logical home for analysis of food systems in action. However, food is largely ignored by public administration scholars, and scholars from other disciplines can unintentionally draw up established ...

Infrastructure is the foundation of modern economies. A robust, efficient, and well-maintained infrastructure system is critical to support the nation’s economy, improve quality of life, and strengthen global competitiveness. The serious infrastructure deficit in the U.S. is well-known. State and local governments are struggling to finance the needed expansion, upgrades, and repairs. Meeting the infrastructure financing challenge has emerged as one of the most urgent issues facing the coun...

This book presents challenges in transportation engineering, recent developments and advancements in technologies, and design and construction using sustainable materials. The articles presented in this volume focus on fundamental investigations on various aspects of civil engineering materials and structures. The scope of this volume is the application of findings for solving problems in geotechnical, pavement, and transportation engineering using emerging techniques. Papers were selected...

This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The b...

From the author of Aftershock and The Work of Nations, his most important book to date—a myth-shattering breakdown of how the economic system that helped make America so strong is now failing us, and what it will take to fix it.Perhaps no one is better acquainted with the intersection of economics and politics than Robert B. Reich, and now he reveals how power and influence have created a new American oligarchy, a shrinking middle class, and the greatest income in...

In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation — Quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum computer that is based on production systems.

AN INSTANT NEW YORK TIMES BESTSELLERA NEXT BIG IDEA CLUB MUST-READThe bestselling author and entrepreneur investigates what would happen if a new financial world order took hold, one in which global elites own everything and you own nothing—and yet you are somehow happy.When Carol Roth first heard that one of the World Economic Forum’s predictions for 2030 was “You will own nothing, and be happy,” she thoug...

Mathematics of Autonomy provides solid mathematical foundations for building useful Autonomous Systems. It clarifies what makes a system autonomous rather than simply automated, and reveals the inherent limitations of systems currently incorrectly labeled as autonomous in reference to the specific and strong uncertainty that characterizes the environments they operate in. Such complex real-world environments demand truly autonomous solutions to provide the flexibility and robustness needed...

Fixer-Upper is the first book assessing how the broad set of local, state, and national housing policies affect people and communities. It does more than describe how yesterday’s policies led to today’s problems. It proposes practical policy changes than can make stable, decent-quality housing more available and affordable for all Americans in all communities.Fixing systemic problems that arose over decades won’t be easy, in large part because millions of middle-class Ameri...

Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread

One of the current main challenges in the area of scientific computing is the design and implementation of accurate numerical models for complex physical systems which are described by time dependent coupled systems of nonlinear PDEs. This volume integrates the works of experts in computational mathematics and its applications, with a focus on modern algorithms which are at the heart of accurate modeling: adaptive finite element methods, conservative finite difference methods and finite vo...