Algorithms

Do you have the tools to address recent challenges and problems in modern computer networks? Discover a unified view of auction theoretic applications and develop auction models, solution concepts, and algorithms with this multidisciplinary review. Devise distributed, dynamic, and adaptive algorithms for ensuring robust network operation over time-varying and heterogeneous environments, and for optimizing decisions about services, resource allocation, and usage of all network entities. Topics including cloud networking models, MIMO, mmWave communications, 5G, data aggregation, task allocation, user association, interference management, wireless caching, mobile data offloading, and security. Introducing fundamental concepts from an engineering perspective and describing a wide range of state-of-the-art techniques, this is an excellent resource for graduate and senior undergraduate students, network and software engineers, economists, and researchers.

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix no

Will the use of artificial intelligence (AI), algorithms, and smart machines be the end of journalism as we know it-or its savior? In Newsmakers, Francesco Marconi, who has led the development of the

Will the use of artificial intelligence (AI), algorithms, and smart machines be the end of journalism as we know it-or its savior? In Newsmakers, Francesco Marconi, who has led the development of the

This book demonstrates the research on VLC based indoor localization in four aspects: first, it constructs the concept and model of the system; second, positioning algorithms, as the main issue in ind

Building on Handbook of Machine Learning - Volume 1: Foundation of Artificial Intelligence, this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like th

Machine Learning with Spark and Python Essential Techniques for Predictive Analytics Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves

“[Coleman] argues that the algorithms of machine learning — if they are instilled with human ethics and values — could bring about a new era of enlightenment.” —San Francisco ChronicleThe Age of Intel

Organizations and businesses strive toward excellence, and solutions to problems are based mostly on judgment and experience. However, increased competition and consumer demands require that the solutions be optimum and not just feasible. Theory leads to algorithms. Algorithms need to be translated into computer codes. Engineering problems need to be modeled. Optimum solutions are obtained using theory and computers, and then interpreted. Revised and expanded in its third edition, this textbook integrates theory, modeling, development of numerical methods, and problem solving, thus preparing students to apply optimization to real-world problems. This text covers a broad variety of optimization problems using: unconstrained, constrained, gradient, and non-gradient techniques; duality concepts; multi-objective optimization; linear, integer, geometric, and dynamic programming with applications; and finite element-based optimization. It is ideal for advanced undergraduate or graduate cours

An exhilarating, elegant memoir and a significant polemic on how computers and algorithms shape our understanding of the world and of who we are Bitwise is a wondrous ode to the computer lan&s

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. Th

The odds of getting a video onto YouTube’s front page are 1-in-2,000,0000, but Tim Staples, founder and CEO of Shareability, knows how to make the algorithms of Youtube, Google, Facebook and Ins

Algorithmic Aspects of Graph Connectivity is the first comprehensive book on this central notion in graph and network theory, emphasizing its algorithmic aspects. Because of its wide applications in the fields of communication, transportation, and production, graph connectivity has made tremendous algorithmic progress under the influence of the theory of complexity and algorithms in modern computer science. The book contains various definitions of connectivity, including edge-connectivity and vertex-connectivity, and their ramifications, as well as related topics such as flows and cuts. The authors thoroughly discuss new concepts and algorithms that allow for quicker and more efficient computing, such as maximum adjacency ordering of vertices. Covering both basic definitions and advanced topics, this book can be used as a textbook in graduate courses in mathematical sciences, such as discrete mathematics, combinatorics, and operations research, and as a reference book for specialists i

In this groundbreaking book, Manuel DeLanda analyzes different genres of simulation, from cellular automata and generic algorithms to neural nets and multi-agent systems, as a means to conceptualize t

HANNAH FRY PRESENTS 2019 ROYAL INSTITUTION CHRISTMAS LECTURESTHE PERFECT CHRISTMAS GIFT FOR ANY RATIONAL MIND‘One of the best books yet written on data and algorithms. . .deserves a place on the bests

The award-winning author of The Music of the Primes explores the future of creativity and how machine learning will disrupt, enrich, and transform our understanding of what it means to be human.Can a well-programmed machine do anything a human can—only better? Complex algorithms are buying our groceries, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we’ve taken solace in the notion that they can’t create. But now that algorithms can learn and adapt, does the future of creativity belong to machines too?It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. Programs like Deep Dream produce d

Numerical analysis deals with the development and analysis of algorithms for scientific computing, and is in itself a very important part of mathematics, which has become more and more prevalent acros

A more intuitive approach to the mathematical foundations of computer scienceDiscrete mathematics is the basis of much of computer science, from algorithms and automata theory to combinatorics and gra

This book presents and applies a framework for studying the complexity of algorithms. It is aimed at logicians, computer scientists, mathematicians and philosophers interested in the theory of computation and its foundations, and it is written at a level suitable for non-specialists. Part I provides an accessible introduction to abstract recursion theory and its connection with computability and complexity. This part is suitable for use as a textbook for an advanced undergraduate or graduate course: all the necessary elementary facts from logic, recursion theory, arithmetic and algebra are included. Part II develops and applies an extension of the homomorphism method due jointly to the author and Lou van den Dries for deriving lower complexity bounds for problems in number theory and algebra which (provably or plausibly) restrict all elementary algorithms from specified primitives. The book includes over 250 problems, from simple checks of the reader's understanding, to current open pr

Iterative Methods for Sparse Linear Systems, Second Edition gives an in-depth, up-to-date view of practical algorithms for solving large-scale linear systems of equations. These equations can number i

This book highlights new methods, algorithms and software for the digital processing and recovery of signals. In addition, it describes a new method for modeling one dimensional and multidimensional s

Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, an

This book presents recent research on computational intelligence (CI) algorithms in the field of sport. In the modern age, information technologies have greatly reduced the need for human effort in th

This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tool

Explains the process programmers use to write code, including key concepts such as algorithms and programming languages. Easy-to-read text, informative sidebars, and helpful diagrams make this book an

Knowledge aims to fit the world, and action to change it. In this collection of essays, Onora O'Neill explores the relationship between these concepts and shows that principles are not enough for ethical thought or action: we also need to understand how practical judgement identifies ways of enacting them and of changing the way things are. Both ethical and technical judgement are supported, she contends, by bringing to bear multiple considerations, ranging from ethical principles to real-world constraints, and while we will never find practical algorithms - let alone ethical algorithms - that resolve moral and political issues, good practical judgement can bring abstract principles to bear in situations that call for action. Her essays thus challenge claims that all inquiry must use either the empirical methods of scientific inquiry or the interpretive methods of the humanities. They will appeal to a range of readers in moral and political philosophy.

Knowledge aims to fit the world, and action to change it. In this collection of essays, Onora O'Neill explores the relationship between these concepts and shows that principles are not enough for ethical thought or action: we also need to understand how practical judgement identifies ways of enacting them and of changing the way things are. Both ethical and technical judgement are supported, she contends, by bringing to bear multiple considerations, ranging from ethical principles to real-world constraints, and while we will never find practical algorithms - let alone ethical algorithms - that resolve moral and political issues, good practical judgement can bring abstract principles to bear in situations that call for action. Her essays thus challenge claims that all inquiry must use either the empirical methods of scientific inquiry or the interpretive methods of the humanities. They will appeal to a range of readers in moral and political philosophy.

?This book provides various speech enhancement algorithms for digital hearing aids. It covers information on noise signals extracted from silences of speech signal. The description of the algorithm us

This book presents the study of symmetry groups in Physics from a practical perspective, i.e. emphasising the explicit methods and algorithms useful for the practitioner and profusely illustrating by

Packed with the most up-to-date recommendations, this invaluable preparatory handbook is a trusted resource for all levels of providers that care for laboring patients. Gain confidence in managing patients from when they present to triage all the way through labor, delivery and the postpartum period. Gives providers critical clinical algorithms for routine and emergency situations and procedures. Includes: detailed description of common obstetric procedures and examinations, evidence-based practice recommendations for labor management and pain control options, sample notes, orders, and operative dictations for cesarean section, multiple illustrations and treatment algorithms that clarify and explain details students and residents are most likely to encounter during obstetric rotations. Written by an experienced maternal fetal medicine physician, this book fills practical knowledge gaps left by conventional textbooks. It provides comprehensive insights for labor management, including em

This book marries social work and artificial intelligence to provide an introductory guide for using AI for social good. Following an introductory chapter laying out approaches and ethical principles of using AI for social work interventions, the book describes in detail an intervention to increase the spread of HIV information by using algorithms to determine the key individuals in a social network of homeless youth. Other chapters present interdisciplinary collaborations between AI and social work students, including a chatbot for sexual health information and algorithms to determine who is at higher stress among persons with Type 2 Diabetes. For students, academic researchers, industry leaders, and practitioners, these real-life examples from the USC Center for Artificial Intelligence in Society demonstrate how social work and artificial intelligence can be used in tandem for the greater good.

This book covers ideas, methods, algorithms, and tools for the in-depth study of the performance and reliability of dependable fault-tolerant systems. The chapters identify the current challenges that

This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some f

This book is completely revised and updated and features a new author team. The original photographs, tables, algorithms, graphs, and charts have been updated, as well as the reference section of each

We live in a “metric culture” where data, algorithms, and numbers play an unmistakably powerful role in defining, shaping and ruling the world we inhabit. Increasingly, governments across the globe ar

The book presents theory and algorithms for secure networked inference in the presence of Byzantines. It derives fundamental limits of networked inference in the presence of Byzantine data and designs

This book introduces the ultimate performance analysis tool (uPATO) as a new software to compute social network metrics in the scope of team sports analysis. The reader will identify the algorithms to

Shortlisted for the 2018 Royal Society Investment Science Book Prize 'Wise, sharp and witty, the definitive guide to living in the age of social media, algorithms and automation.' Adam Rutherford You

From driverless cars to smart thermostats, from autonomous stock-trading systems to drones equipped with their own behavioral algorithms, the internet now has direct effects on the physical world. Whi