Algorithms

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors discuss the essence of mathematical methods which appear (under different names) in a number of interdisciplinary scientific fields bridging mathematics and computations with biology and chemistry. The book can be used both for self-study and as a supporting text for advanced undergraduate or beginning graduate-level courses in applied mathematics. New mathematical approaches are explained using simple examples of biological models, which range in size from simulations of small biomolecules to groups of animals. The book starts with stochastic modelling of chemical reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio-temporal models are then studied, including models of diffusion and stochastic reaction-diffusion modelling. The methods covered include molecula

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors discuss the essence of mathematical methods which appear (under different names) in a number of interdisciplinary scientific fields bridging mathematics and computations with biology and chemistry. The book can be used both for self-study and as a supporting text for advanced undergraduate or beginning graduate-level courses in applied mathematics. New mathematical approaches are explained using simple examples of biological models, which range in size from simulations of small biomolecules to groups of animals. The book starts with stochastic modelling of chemical reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio-temporal models are then studied, including models of diffusion and stochastic reaction-diffusion modelling. The methods covered include molecula

We live in times of transparency. Digital technologies expose everything we do, like, and search for, and it is difficult to remain private and out of sight. Meanwhile, many people are concerned about the unchecked powers of tech giants and the hidden operations of big data, artificial intelligence and algorithms and call for more openness and insight. How do we - as individuals, companies and societies - deal with these technological and social transformations? Seen through the prism of digital technologies and data, our lives take new shapes and we are forced to manage our visibilities carefully. This book challenges common ways of thinking about transparency, and argues that the management of visibilities is a crucial, but overlooked force that influences how people live, how organizations work, and how societies and politics operate in a digital, datafied world.

We live in times of transparency. Digital technologies expose everything we do, like, and search for, and it is difficult to remain private and out of sight. Meanwhile, many people are concerned about the unchecked powers of tech giants and the hidden operations of big data, artificial intelligence and algorithms and call for more openness and insight. How do we - as individuals, companies and societies - deal with these technological and social transformations? Seen through the prism of digital technologies and data, our lives take new shapes and we are forced to manage our visibilities carefully. This book challenges common ways of thinking about transparency, and argues that the management of visibilities is a crucial, but overlooked force that influences how people live, how organizations work, and how societies and politics operate in a digital, datafied world.

Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar.

Following elucidation of the basics of thermodynamics and detailed explanation of chemical kinetics of reactive mixtures, readers are introduced to unique and effective mathematical tools for the modeling, simulation and analysis of chemical non-equilibrium phenomena in combustion and flows. The reactor approach is presented considering thermochemical reactors as the focal points. Novel equations of chemical kinetics compiling chemical thermodynamic and transport processes make reactor models universal and easily applicable to the simulation of combustion and flow in a variety of propulsion and energy generation units. Readers will find balanced coverage of both fundamental material on chemical kinetics and thermodynamics, and detailed description of mathematical models and algorithms, along with examples of their application. Researchers, practitioners, lecturers, and graduate students will all find this work valuable.

Finite-state methods are the most efficient mechanisms for analysing textual and symbolic data, providing elegant solutions for an immense number of practical problems in computational linguistics and computer science. This book for graduate students and researchers gives a complete coverage of the field, starting from a conceptual introduction and building to advanced topics and applications. The central finite-state technologies are introduced with mathematical rigour, ranging from simple finite-state automata to transducers and bimachines as 'input-output' devices. Special attention is given to the rich possibilities of simplifying, transforming and combining finite-state devices. All algorithms presented are accompanied by full correctness proofs and executable source code in a new programming language, C(M), which focuses on transparency of steps and simplicity of code. Thus, by enabling readers to obtain a deep formal understanding of the subject and to put finite-state methods t

This book provides a self-contained introduction to the simulation of flow and transport in porous media, written by a developer of numerical methods. The reader will learn how to implement reservoir simulation models and computational algorithms in a robust and efficient manner. The book contains a large number of numerical examples, all fully equipped with online code and data, allowing the reader to reproduce results, and use them as a starting point for their own work. All of the examples in the book are based on the MATLAB Reservoir Simulation Toolbox (MRST), an open-source toolbox popular popularity in both academic institutions and the petroleum industry. The book can also be seen as a user guide to the MRST software. It will prove invaluable for researchers, professionals and advanced students using reservoir simulation methods. This title is also available as Open Access on Cambridge Core.

近期滴滴的安全事件引起了社會大眾的廣泛關注，同時也警醒滴滴公司進行一系列的改革，從而加強對於用戶的安全保護。優步在全世界大規模地興起，發展為現在數百億的規模，也出現過一系列問題，比如當初的性騷擾事件、交通法則的重新規定、種族平等和勞工權益等問題。作者通過與優步司機一起行駛5000英里的第一手經驗，每天訪問在線論壇，與上級和員工面對面討論，介紹了優步如何走向成功，同時也揭露了公司操縱流行技術背後的問

Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, which enables the reader to derive tractable algorithms. Next, it summarizes non-asymptotic theory, which, although limited in application to bilinear models, precisely describes the behavior of the variational Bayesian solution and reveals its sparsity inducing mechanism. Finally, the text summarizes asymptotic theory, which reveals phase transition phenomena depending on the prior setting, thus providing suggestions on how to set hyperparameters for particular purposes. Detailed derivations allow readers to follow along without prior knowledge of the mathematical techniques specific to

The past decade has seen unprecedented developments in the understanding of relativistic fluid dynamics in and out of equilibrium, with connections to astrophysics, cosmology, string theory, quantum information, nuclear physics and condensed matter physics. Romatschke and Romatschke offer a powerful new framework for fluid dynamics, exploring its connections to kinetic theory, gauge/gravity duality and thermal quantum field theory. Numerical algorithms to solve the equations of motion of relativistic dissipative fluid dynamics as well as applications to various systems are discussed. In particular, the book contains a comprehensive review of the theory background necessary to apply fluid dynamics to simulate relativistic nuclear collisions, including comparisons of fluid simulation results to experimental data for relativistic lead-lead, proton-lead and proton-proton collisions at the Large Hadron Collider (LHC). The book is an excellent resource for students and researchers working in

The truly world-wide reach of the Web has brought with it a new realisation of the enormous importance of usability and user interface design. In the last ten years, much has become understood about what works in search interfaces from a usability perspective, and what does not. Researchers and practitioners have developed a wide range of innovative interface ideas, but only the most broadly acceptable make their way into major web search engines. This book summarizes these developments, presenting the state of the art of search interface design, both in academic research and in deployment in commercial systems. Many books describe the algorithms behind search engines and information retrieval systems, but the unique focus of this book is specifically on the user interface. It will be welcomed by industry professionals who design systems that use search interfaces as well as graduate students and academic researchers who investigate information systems.

狩獵採集時期的人類進化成了優秀的投擲者、咀嚼者和長跑者，而現在的我們熱衷玩《我的世界》之類的遊戲。作者認為，只有文化進化的集體加速才能解釋這種發展。今天，我們正在追隨社交媒體機器人，就像我們過去從祖先那裡學習一樣。我們正在從根本上改變文化的發展方式。經過幾千年的演變，本特利和奧布萊恩描述了在互聯網時代，文化的傳播是如何巨量且瞬時地發生傳播的。作者指出，長期發展的文化知識正在被在線算法大幅打折，這些

This book surveys the state-of-the-art in the theory of combinatorial games, that is games not involving chance or hidden information. Enthusiasts will find a wide variety of exciting topics, from a trailblazing presentation of scoring to solutions of three piece ending positions of bidding chess. Theories and techniques in many subfields are covered, such as universality, Wythoff Nim variations, misère play, partizan bidding (a.k.a. Richman games), loopy games, and the algebra of placement games. Also included are an updated list of unsolved problems, extremely efficient algorithms for taking and breaking games, a historical exposition of binary numbers and games by David Singmaster, chromatic Nim variations, renormalization for combinatorial games, and a survey of temperature theory by Elwyn Berlekamp, one of the founders of the field. The volume was initiated at the Combinatorial Game Theory Workshop, January 2011, held at the Banff International Research Station.

This hands-on introduction to numerical geodynamic modelling provides a solid grounding in the necessary mathematical theory and techniques, including continuum mechanics and partial differential equations, before introducing key numerical modelling methods and applications. Fully updated, this second edition includes four completely new chapters covering the most recent advances in modelling inertial processes, seismic cycles and fluid-solid interactions, and the development of adaptive mesh refinement algorithms. Many well-documented, state-of-the-art visco-elasto-plastic 2D models are presented, which allow robust modelling of key geodynamic processes. Requiring only minimal prerequisite mathematical training, and featuring over sixty practical exercises and ninety MATLAB® examples, this user-friendly resource encourages experimentation with geodynamic models. It is an ideal introduction for advanced courses and can be used as a self-study aid for graduates seeking to master geodyna

This text closely examines ideas, analysis, and implementation details of data structures as a specialised topic in applied algorithms. It looks at efficient ways to realise query and update operations on sets of numbers, intervals, or strings by various data structures, including: search trees; structures for sets of intervals or piece-wise constant functions; orthogonal range search structures; heaps; union-find structures; dynamization and persistence of structures; structures for strings; and hash tables. Instead of relegating data structures to trivial material used to illustrate object-oriented programming methodology, this is the first volume to show data structures as a crucial algorithmic topic. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text.

Due to common early development, the pathology of the urogenital tract in males and females present many similarities. Richly illustrated in colour throughout, this essential text evaluates the most common pathologies of the male and female urogenital tract, focussing on similarities, differences, and challenges. Images are colour coded by gender, and feature diagnostic algorithms and boxes highlighting key similarities and differences. This book is intended to bridge the gap between urologic and gynecologic specialties, whose diagnoses are rarely considered or studied together. Understanding common development, similarities and differences is extremely valuable for the evaluation of pathologic features and related dysfunctions. This comprehensive resource will be invaluable to urological and gynaecological pathologists,residents, general pathologists, and for consultants in urology and gynaecology to gain experience in the pathologic diagnostic rationale. This book provides entry to a

Provides structural engineers with the knowledge and practical tools needed to perform structural designs for wind that incorporate major technological, conceptual, analytical and computational advances achieved in the last two decades. With clear explanations and documentation of the concepts, methods, algorithms, and software available for accounting for wind loads in structural design, it also describes the wind engineer's contributions in sufficient detail that they can be effectively scrutinized by the structural engineer in charge of the design.Wind Effects on Structures: Modern Structural Design for Wind, 4th Edition is organized in four sections. The first covers atmospheric flows, extreme wind speeds, and bluff body aerodynamics. The second examines the design of buildings, and includes chapters on aerodynamic loads; dynamic and effective wind-induced loads; wind effects with specified MRIs; low-rise buildings; tall buildings; and more. The third part is devoted to aeroel

本書以簡明易懂的方式介紹了數據結構與算法的基本知識，內容全面、系統。描述方式基於C/C++語言，對數據結構中容易混淆的問題進行了透徹的闡述，對每一個問題均給出了不同的解決方案。涵蓋入職面試中常見的數據結構與算法方面的問題，既可以作為數據結構課程的教材，也可以作為研究生考試的參考以及程序員的參考手冊。

Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors. Robustness issues are illustrated throughout using real-world examples and key algorithms are included in a MATLAB Robust Signal Processing Toolbox accompanying the book online, allowing the methods discussed to be easily applied and adapted to multiple practical situations. This unique resource provides a powerful tool for researchers and practitioners working in the field of signal processing.

Learning JavaScript Data Structures and Algorithms 資料結構（data structure）是電腦系統中組織資料的一種高效方式，學習資料結構及演算法（algorithm）可說是解決各項程式設計問題的重要基礎。 本書起初先從 JavaScript 程式語言的基礎著手，接著便會進入重要的資料結構議題，包含陣列、佇列、堆疊以及鏈結串列等，並且深入探索集合

Optimization methods play a central role in financial modeling. This textbook is devoted to explaining how state-of-the-art optimization theory, algorithms, and software can be used to efficiently solve problems in computational finance. It discusses some classical mean–variance portfolio optimization models as well as more modern developments such as models for optimal trade execution and dynamic portfolio allocation with transaction costs and taxes. Chapters discussing the theory and efficient solution methods for the main classes of optimization problems alternate with chapters discussing their use in the modeling and solution of central problems in mathematical finance. This book will be interesting and useful for students, academics, and practitioners with a background in mathematics, operations research, or financial engineering. The second edition includes new examples and exercises as well as a more detailed discussion of mean–variance optimization, multi-period models, and add

An introduction to how the mathematical tools from quantum field theory can be applied to economics and finance, providing a wide range of quantum mathematical techniques for designing financial instruments. The ideas of Lagrangians, Hamiltonians, state spaces, operators and Feynman path integrals are demonstrated to be the mathematical underpinning of quantum field theory, and which are employed to formulate a comprehensive mathematical theory of asset pricing as well as of interest rates, which are validated by empirical evidence. Numerical algorithms and simulations are applied to the study of asset pricing models as well as of nonlinear interest rates. A range of economic and financial topics are shown to have quantum mechanical formulations, including options, coupon bonds, nonlinear interest rates, risky bonds and the microeconomic action functional. This is an invaluable resource for experts in quantitative finance and in mathematics who have no specialist knowledge of quantum f

The Internet, Warts and All asks questions. Why are government digital policies so often out of touch and counter-productive? Why is surveillance law problematic and ineffective - and often defeated in court? Do companies like Google and Facebook really care about freedom of speech? Why are neither laws nor technology companies able to get to grips with trolling? Is 'fake news' something that can be 'dealt with'? Can these issues be addressed more effectively, intelligently and appropriately in the future? To answer these questions, The Internet, Warts and All busts a number of myths and illusions about the internet - about the neutrality of algorithms, the permanence of information, the impact of surveillance, the nature of privacy and more. It shows how trolling and 'fake news' arise - and why current moves to deal with them are doomed to failure. It suggests a way forward - by embracing the unruly nature of the internet.

This book is the second edition of a highly successful introduction to the study of word-formation, that is, the ways in which new words are built on the bases of other words (e.g. happy - happy-ness), focusing on English. The book's didactic aim is to enable students with little or no prior linguistic knowledge to do their own practical analyses of complex words. Readers are familiarized with the necessary methodological tools to obtain and analyze relevant data and are shown how to relate their findings to theoretical problems and debates. The second edition incorporates new developments in morphology at both the methodological and the theoretical level. It introduces the use of new corpora and data bases, acquaints the reader with state-of-the-art computational algorithms modeling morphology, and brings in current debates and theories.

This book is the second edition of a highly successful introduction to the study of word-formation, that is, the ways in which new words are built on the bases of other words (e.g. happy - happy-ness), focusing on English. The book's didactic aim is to enable students with little or no prior linguistic knowledge to do their own practical analyses of complex words. Readers are familiarized with the necessary methodological tools to obtain and analyze relevant data and are shown how to relate their findings to theoretical problems and debates. The second edition incorporates new developments in morphology at both the methodological and the theoretical level. It introduces the use of new corpora and data bases, acquaints the reader with state-of-the-art computational algorithms modeling morphology, and brings in current debates and theories.

Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the potential to outperform the classical first-principles modeling paradigm. This book bridges this transition, connecting the theory of probability, stochastic processes, functional analysis, numerical analysis, and differential geometry. It describes two classes of computational methods to leverage data for modeling dynamical systems. The first is concerned with data fitting algorithms to estimate parameters in parametric models that are postulated on the basis of physical or dynamical laws. The second is on operator estimation, which uses the data to nonparametrically approximate the operator generated by the transition function of the underlying dynamical systems. This self-contained book is suitable for graduate studies in applied mathematics, statistics, and engineering. Carefully chosen elementary examples with supplementary MATLAB® codes and append

Discover the nonlinear methods and tools needed to design real-world microwave circuits with this tutorial guide. Balancing theoretical background with practical tools and applications, it covers everything from the basic properties of nonlinear systems such as gain compression, intermodulation and harmonic distortion, to nonlinear circuit analysis and simulation algorithms, and state-of-the-art equivalent circuit and behavioral modeling techniques. Model formulations discussed in detail include time-domain transistor compact models and frequency-domain linear and nonlinear scattering models. Learn how to apply these tools to designing real circuits with the help of a power amplifier design example, which covers all stages from active device model extraction and the selection of bias and terminations, through to performance verification. Realistic examples, illustrative insights and clearly conveyed mathematical formalism make this an essential learning aid for both professionals worki

Written with the MRCOG examination requirements at its core, this book offers an extensive and up-to-date review of the full range of gynaecological cancers. The principles of epidemiology, imaging and treatment modalities are presented in a succinct and clinically focused manner. Each gynaecological cancer features in a stand-alone chapter, incorporating information on clinical issues, staging and principles of management. Genetic conditions and surgical principles are analysed, as well as topics such as palliative care, holistic approaches and communication. RCOG guidelines and Scientific Advisory Committee advice feature throughout the book. While authoritative and factual, the text is concise and clear. Flow-charts and diagrams support the assimilation of complex information, while practical tips, management algorithms, and clinical images enhance each chapter. Essential for those preparing for the MRCOG examination, this book is a comprehensive resource for health professionals wo

This valuable resource summarizes the past fifty years' basic research accomplishments in plasma dynamics for aerospace engineering, presenting these results in a comprehensive volume that will be an asset to any professional in the field. It offers a comprehensive review of the foundation of plasma dynamics while integrating the most recently developed modeling and simulation techniques with the theoretic physics, including the state-of-the-art numerical algorithms. Several first-ever demonstrations for innovations and incisive explanations for previously unexplained observations are included. All the necessary formulations for technical evaluation to engineering applications are derived from the first principle by statistic and quantum mechanics, and led to physics-based computational simulations for practical applications. The computer-aided procedures directly engage the reader to duplicate findings that are nearly impossible by using ground-based experimental facilities. Plasma Dy

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

Extracting information from seismic data requires knowledge of seismic wave propagation and reflection. The commonly used method involves solving linearly for a reflectivity at every point within the Earth, but this book follows an alternative approach which invokes inverse scattering theory. By developing the theory of seismic imaging from basic principles, the authors relate the different models of seismic propagation, reflection and imaging - thus providing links to reflectivity-based imaging on the one hand and to nonlinear seismic inversion on the other. The comprehensive and physically complete linear imaging foundation developed presents new results at the leading edge of seismic processing for target location and identification. This book serves as a fundamental guide to seismic imaging principles and algorithms and their foundation in inverse scattering theory, and is a valuable resource for working geoscientists, scientific programmers and theoretical physicists.

Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine learning systems can adapt when an adversary actively poisons data to manipulate statistical inference, learn the latest practical techniques for investigating system security and performing robust data analysis, and gain insight into new approaches for designing effective countermeasures against the latest wave of cyber-attacks. Privacy-preserving mechanisms and the near-optimal evasion of classifiers are discussed in detail, and in-depth case studies on email spam and network security highlight successful attacks on traditional machine learning algorithms. Providing a thorough overview of the current state of the art in the field, and possible future directions, this groundbreaking work is essential reading for researchers, practitioners and students in computer security and machine learning,

Prostate cancer is the most commonly diagnosed noncutaneous neoplasm in men in the United States and is the second leading cause of cancer mortality. It poses diagnostic challenges in day-to-day practice in misdiagnosis of tumor-like lesions and secondary tumors. This book is a concise, practical guide to prostate pathology and is structured to guide pathologists, both practicing and trainees, in the diagnostic process. Numerous color images and algorithms show, in a practical manner, how to integrate pathologic and immunohistochemical features to reach a correct diagnosis in prostate tumors and tumor-like lesions. The book incorporates recent developments in biomarkers applied to immunohistochemistry, representing the best immunohistochemistry practice applied to current diagnosis of prostate cancer in biopsies and surgical specimens. It takes a multidisciplinary approach to the clinical management of prostate cancer and will also appeal to all healthcare professionals treating patien

An invaluable resource for working programmers, as well as a fount of useful algorithmic tools for computer scientists, astronomers, and other calendar enthusiasts, The Ultimate Edition updates and expands the previous edition to achieve more accurate results and present new calendar variants. The book now includes coverage of Unix dates, Italian time, the Akan, Icelandic, Saudi Arabian Umm al-Qura, and Babylonian calendars. There are also expanded treatments of the observational Islamic and Hebrew calendars and brief discussions of the Samaritan and Nepalese calendars. Several of the astronomical functions have been rewritten to produce more accurate results and to include calculations of moonrise and moonset. The authors frame the calendars of the world in a completely algorithmic form, allowing easy conversion among these calendars and the determination of secular and religious holidays. LISP code for all the algorithms is available in machine-readable form.

An invaluable resource for working programmers, as well as a fount of useful algorithmic tools for computer scientists, astronomers, and other calendar enthusiasts, The Ultimate Edition updates and expands the previous edition to achieve more accurate results and present new calendar variants. The book now includes coverage of Unix dates, Italian time, the Akan, Icelandic, Saudi Arabian Umm al-Qura, and Babylonian calendars. There are also expanded treatments of the observational Islamic and Hebrew calendars and brief discussions of the Samaritan and Nepalese calendars. Several of the astronomical functions have been rewritten to produce more accurate results and to include calculations of moonrise and moonset. The authors frame the calendars of the world in a completely algorithmic form, allowing easy conversion among these calendars and the determination of secular and religious holidays. LISP code for all the algorithms is available in machine-readable form.

The PROMPT (Practical Obstetric Multi-Professional Training) course covers the management of a range of obstetric emergency situations. Over the past five years, there has been increasing evidence that PROMPT training is having significant impact on outcomes in the UK, and internationally. In 2016, PROMPT was recognised in the NHS England: National Maternity Review. The PROMPT training package consists of interactive lectures, drills and workshops, providing hands-on experience of practical skills and team-working in simulated obstetric emergency situations. This third edition has been comprehensively updated in line with recent evidence and national and international guidelines to reflect the latest research and current clinical practice. There are new modules, algorithms, implementation tools, scenarios and videos. The course manual is essential reading for all those attending a local PROMPT course. It is also useful as a stand-alone textbook, providing evidence-based, up-to-date inf

Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate s