Algorithm

The story of how information networks have made, and unmade, our world from the #1 Sunday Times bestselling author of SapiensStories brought us together.Books spread our ideas - and our mythologies.The internet promised infinite knowledge.The algorithm learned our secrets - and then turned us against each other.What will AI do?NEXUS is the thrilling account of how we arrived at this moment, and the urgent choices we must now make to survive - and to thrive.Praise for Nexus'Tremendous, thought-provoking and so very well reasoned . . .If there is one book that I would urge everyone to read - it is Nexus' Stephen Fry'One of the most remarkable intellects of our generation' Rory Stewart'This deeply important book comes at a critical time as we all think through the implications of AI' Mustafa Suleyman

The story of how information networks have made, and unmade, our world from the #1 Sunday Times bestselling author of SapiensStories brought us together. Books spread our ideas – and our mythologies. The internet promised infinite knowledge.The algorithm learned our secrets – and then turned us against each other. What will AI do?NEXUS is the thrilling account of how we arrived at this moment, and the urgent choices we must now make to survive – and to thrive. Praise for Nexus‘Tremendous, thought-provoking and so very well reasoned .. . If there is one book that I would urge everyone to read – it is Nexus’ Stephen Fry'One of the most remarkable intellects of our generation' Rory Stewart'This deeply important book comes at a critical time as we all think through the implications of AI’ Mustafa SuleymanPraise for Yuval Noah Harari‘The great thinker of our age’ The Times on 21 Lessons for the 21st Century‘Interesting and provocative’ Barack Obama on Sapiens‘One of my favourite writers and

本書是作者StevenM.Kay關於統計信號處理三卷書中的最後一卷，該卷建立了覆蓋前兩卷的綜合性理論，在設計解決實際問題的優良算法方面幫助讀者開發直觀和專業的方法。本書首先評述開發信號處理算法的方法，包括數學建模、計算機模擬、性能評估。通過展示設計、評估、測試的有用解析結果和實現，將理論與實踐聯繫起來。然後從幾個關鍵的應用領域重點介紹了一些經典的算法。最後引導讀者將算法轉換成MATLAB程序來驗證

The second PHENOMENALLY FUNNY out-of-this-world adventure from YouTube sensation and TV presenter Adam B is perfect for fans of David Baddiel and Ben MIller!Thirteen-year-old Adam has made a lot of mistakes in his life, but this has to be the biggest.Thanks to a MASSIVE fight with his little brother Callum, the mysterious and magical computer algorithm Popularis Incrementum has exploded - and accidentally transported them both to a completely different world!No, not just a different world. A different dimension: one where Adam and Callum were never born and the internet doesn't exist, and neither does any of the technology they rely on to make their epic YouTube videos!Will the brothers survive in this strange Altiverse where everything is ALMOST like home but ISN'T? And how do you stop an evil villain from sabotaging your dad's world-changing technology when in this universe your dad doesn't even know who you are?But for now there's only one question in Adam's mind: how do they get ba

This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches.The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents

本書序言Up-to-date, engaging coverage of essential topics●Expanded coverage of cryptography including Elliptic curve photography; coverage of knapsack ciphers has been removed. Also, the important notion of homomorphic encryption is introduced in this edition.●Coverage of recent numerical discoveries, including four new Mersenne primes; the largest known twin primes; the evidence supporting many important conjectures, and more.●Coverage of new theoretical discoveries, such as the proof of weak Goldbach conjecture and the result that there is an algorithm to multiply two n-bit integers using O (nlog2 n) bit operations.A proven approach●Enhanced exercise sets have been examined and improved sets even further, plus several hundred new exercises, from routine to challenging. New computational and exploratory exercises are included.●Connections with abstract algebra: The book does not assume prior knowledge of abstract algebra, but introduces some basic algebraic structures such as gr

Since 2005, YouTube has exploded, giving a platform to unique and valuable voices, but also to propaganda, misinformation and illicit videos. The algorithm which determines whether a channel lives or dies - how or when videos are seen, and how much creators earn through advertising - is notoriously secretive, remaining a mystery to consumers and broadcasters alike. At the same time, the site is massively profitable for parent company Google, helping turn it into one of the most influential powers on the planet.In Like, Comment, Subscribe, Bloomberg tech journalist Mark Bergen delivers the definitive account on YouTube, detailing how it started, how it works and ultimately how it drives Google's success. It can be seen as the story of a technical marvel that has upended traditional media and created stars out of everyday people, or the story of the rise of a ruthless advertising conglomerate with little regard for its impact on the world beyond the bottom line - but in reality, it's the

A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning.

A pitch-perfect summer camp rom-com about two teens with nothing in common who come together to help break up a romance and unexpectedly start one of their own…Sixteen-year-old Paisley Manning has been attending Camp Seabrook since she was a little girl, when her parents ran it together. For the last few years, since her father’s death, she’s been the one helping her mom run the camp behind the scenes. This year, however, will be Camp Seabrook’s last hurrah because Paisley’s mom has met a guy online and they’re getting married. Enter Hayden Bennett, who is working alongside Paisley. Paisley and Hayden are like oil and water. She follows the rules, and he seems to live to break them all. But when Hayden catches wind of Paisley’s predicament, he has an idea. If a matchmaker in some computer algorithm caused the issue, a couple of real-life matchbreakers can fix it. As they work to break up the happy couple, Paisley discovers that maybe Hayden’s not so bad after all. Has she met her own p

This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions. Specific models covered include generic modelling for MIMO LTI systems, signal flow models of dynamic networks and models of networks of local LTI systems. A variety of different identification methods are discussed, including identification of signal flow dynamics networks, subspace-like identification of multi-dimensional systems and subspace identification of local systems in an NDS. Researchers working in system identification and/or networked systems will appreciate the comprehensive overview provided, and the emphasis on algorithm design will interest those wishing to test the theory on real-life applications. This is the ideal text for researchers and graduate students interested in

Geomathematics provides a comprehensive summary of the mathematical principles behind key topics in geophysics and geodesy, covering the foundations of gravimetry, geomagnetics and seismology. Theorems and their proofs explain why physical realities in geoscience are the logical mathematical consequences of basic laws. The book also derives and analyzes the theory and numerical aspects of established systems of basis functions; and presents an algorithm for combining different types of trial functions. Topics cover inverse problems and their regularization, the Laplace/Poisson equation, boundary-value problems, foundations of potential theory, the Poisson integral formula, spherical harmonics, Legendre polynomials and functions, radial basis functions, the Biot-Savart law, decomposition theorems (orthogonal, Helmholtz, and Mie), basics of continuum mechanics, conservation laws, modelling of seismic waves, the Cauchy-Navier equation, seismic rays, and travel-time tomography. Each chapte

This book proposes three liability regimes to combat the wide responsibility gaps caused by AI systems - vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds). Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social science analysis specifies the socio-digital institutions related to this threefold typology. Then it determines the social risks that emerge when algorithms operate within these institutions. Actants raise the risk of digital autonomy, hybrids the risk of double contingency in human-algorithm encounters, crowds the risk of opaque interconnections. The book demonstrates that the law needs to respond to these specific risks, by recognising personified algorithms as vicarious agents, human-machine associations a

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; found

Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-sem

The area of computational cryptography is dedicated to the development of effective methods in algorithmic number theory that improve implementation of cryptosystems or further their cryptanalysis. This book is a tribute to Arjen K. Lenstra, one of the key contributors to the field, on the occasion of his 65th birthday, covering his best-known scientific achievements in the field. Students and security engineers will appreciate this no-nonsense introduction to the hard mathematical problems used in cryptography and on which cybersecurity is built, as well as the overview of recent advances on how to solve these problems from both theoretical and practical applied perspectives. Beginning with polynomials, the book moves on to the celebrated Lenstra–Lenstra–Lovász lattice reduction algorithm, and then progresses to integer factorization and the impact of these methods to the selection of strong cryptographic keys for usage in widely used standards.

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

In Beyond the Algorithm: Qualitative Insights for Gig Work Regulation, Deepa Das Acevedo and a collection of scholars and experts show why government actors must go beyond mass surveys and data-scrubbing in order to truly understand the realities of gig work. The contributors draw on qualitative empirical research to reveal the narratives and real-life experiences that define gig work, and they connect these insights to policy debates being fought out in courts, town halls, and even in Congress itself. The book also bridges academic and non-academic worlds by drawing on the experiences of drivers, journalists, and workers' advocates who were among the first people to study gig work from the bottom up. This book is a must-read for anyone interested in gig work, the legal infrastructure surrounding it, and how that infrastructure can and must be improved.

The Camberwell Assessment of Need for adults with Developmental and Intellectual Disabilities (CANDID) is a widely used tool for the assessment of health and social needs of people with intellectual disabilities and mental health problems. It uses the assessment approach adopted by CAN, the world's leading mental health needs assessment measure. Two versions of the CANDID are available: CANDID-S (short version) and CANDID-R (research version). Both versions are aimed at researchers and practitioners working with people with intellectual disabilities, and are suitable for clinical use in community and hospital-based services. Fully updated based on current policy, practice and terminology, this second edition introduces a more intuitive need rating system and an accessible rating algorithm. Guidance on how to use the measures is provided, as well as an overview of research developments since the first edition. The assessment forms are freely available to download from the CAN website (r

《量子金融：不確定性市場原理、機制和算法》利用量子理論的思想與方法，系統地研究了金融市場不確定性的本質和作用，開辟了金融市場的一個新的研究方向，可簡稱為“不確定性市場”原理，這項成果屬於自然科學與社會科學的交叉學科領域，不但是發展金融理論的一個新的生長點，而且在提高金融系統演化規律的預測能力方面有著廣闊的應用前景。

Global and national confidential inquiry reports show that 60 to 80% of maternal and neonatal morbidity and mortality are due to avoidable errors. This comprehensive and illustrated second edition offers a practical guide to the management of obstetric, medical, surgical, anaesthetic and newborn emergencies in addition to organisational and training issues. The book is divided conveniently into nine sections and updated throughout in line with modern research and practice. Several new chapters cover setting up skills and drills training in maternity services to reduce avoidable harm, managing obstetric emergencies during 'home births' and in low-risk midwifery units, and minimizing maternal and fetal morbidity in failed operative vaginal delivery. Each chapter includes a practical algorithm for quick reference, the scientific basis for proposed actions, a case-based practical exercise and useful learning tools such as 'Key Pearls' and 'Key Pitfalls'. An invaluable resource for obstetri

Authored by pioneers in dermatology and laser medicine, this unique text is the first comprehensive overview of the treatment of burn and traumatic scars. The content is logically divided into three sections: Defining the Problem, which covers important fundamentals such as the clinically relevant elements of wound care, pain, range of motion, and patient selection, and includes a treatment valuable algorithm. The next section focuses on Treatment, and features discussion of traditional techniques as well as laser assisted drug delivery, fractional resurfacing, vascular lasers and lights, minimally invasive surgical techniques, and more. The final section is devoted to Caring for Wounds and Complications, and includes best practices for wound care, and management of pain, infection, and ulceration. You will find cutting-edge coverage of the latest treatment options, including lasers, medications, and biological implants, along with extensive discussion of wound care.

In Beyond the Algorithm: Qualitative Insights for Gig Work Regulation, Deepa Das Acevedo and a collection of scholars and experts show why government actors must go beyond mass surveys and data-scrubbing in order to truly understand the realities of gig work. The contributors draw on qualitative empirical research to reveal the narratives and real-life experiences that define gig work, and they connect these insights to policy debates being fought out in courts, town halls, and even in Congress itself. The book also bridges academic and non-academic worlds by drawing on the experiences of drivers, journalists, and workers' advocates who were among the first people to study gig work from the bottom up. This book is a must-read for anyone interested in gig work, the legal infrastructure surrounding it, and how that infrastructure can and must be improved.

This book gives an introduction to the programming language Structured Text (ST) which is used in Programmable Logic Controllers (PLC). The book can be used for all types of PLC brands including Siemens Structured Control Language (SCL) and Programmable Automation Controllers (PAC). This 3rd edition has been updated and expanded with many of the suggestions and questions that readers and students have come up with, including the desire for many more illustrations and program examples. CONTENTS: - Background, benefits and challenges of ST programming - Syntax, data types, best practice and basic ST programming - IF-THEN-ELSE, CASE, FOR, CTU, TON, STRUCT, ENUM, ARRAY, STRING - Guide for best practice naming, troubleshooting, test and program structure - Sequencer and code split-up into functions and function blocks - FIFO, RND, sorting, scaling, toggle, simulation signals and digital filter - Tank controls, conveyor belts, adaptive pump algorithm and robot control - PLC program structure

Communication complexity is the mathematical study of scenarios where several parties need to communicate to achieve a common goal, a situation that naturally appears during computation. This introduction presents the most recent developments in an accessible form, providing the language to unify several disjoint research subareas. Written as a guide for a graduate course on communication complexity, it will interest a broad audience in computer science, from advanced undergraduates to researchers in areas ranging from theory to algorithm design to distributed computing. The first part presents basic theory in a clear and illustrative way, offering beginners an entry into the field. The second part describes applications including circuit complexity, proof complexity, streaming algorithms, extension complexity of polytopes, and distributed computing. Proofs throughout the text use ideas from a wide range of mathematics, including geometry, algebra, and probability. Each chapter contain

This user-friendly textbook introduces complex analysis at the beginning graduate or advanced undergraduate level. Unlike other textbooks, it follows Weierstrass' approach, stressing the importance of power series expansions instead of starting with the Cauchy integral formula, an approach that illuminates many important concepts. This view allows readers to quickly obtain and understand many fundamental results of complex analysis, such as the maximum principle, Liouville's theorem, and Schwarz's lemma. The book covers all the essential material on complex analysis, and includes several elegant proofs that were recently discovered. It includes the zipper algorithm for computing conformal maps, as well as a constructive proof of the Riemann mapping theorem, and culminates in a complete proof of the uniformization theorem. Aimed at students with some undergraduate background in real analysis, though not Lebesgue integration, this classroom-tested textbook will teach the skills and intui

Abstract Algebra with Applications provides a friendly and concise introduction to algebra, with an emphasis on its uses in the modern world. The first part of this book covers groups, after some preliminaries on sets, functions, relations, and induction, and features applications such as public-key cryptography, Sudoku, the finite Fourier transform, and symmetry in chemistry and physics. The second part of this book covers rings and fields, and features applications such as random number generators, error correcting codes, the Google page rank algorithm, communication networks, and elliptic curve cryptography. The book's masterful use of colorful figures and images helps illustrate the applications and concepts in the text. Real-world examples and exercises will help students contextualize the information. Intended for a year-long undergraduate course in algebra for mathematics, engineering, and computer science majors, the only prerequisites are calculus and a bit of courage when ask

Reporting a novel breakthrough in the identification and investigation of solvable and integrable nonlinearly coupled evolution ordinary differential equations (ODEs) or partial differential equations (PDEs), this text includes practical examples throughout to illustrate the theoretical concepts. Beginning with systems of ODEs, including second-order ODEs of Newtonian type, it then discusses systems of PDEs, and systems evolving in discrete time. It reports a novel, differential algorithm which can be used to evaluate all the zeros of a generic polynomial of arbitrary degree: a remarkable development of a fundamental mathematical problem with a long history. The book will be of interest to applied mathematicians and mathematical physicists working in the area of integrable and solvable non-linear evolution equations; it can also be used as supplementary reading material for general applied mathematics or mathematical physics courses.

Emergency and critical care providers are often challenged by patients with acute cardiorespiratory symptoms and abnormal electrocardiograms. Critical Cases in Electrocardiography emphasizes clinically-relevant topics, focusing squarely on situations where interpretation of the ECG contributes to clinical decision-making. This atlas is unique, in that it includes numerous examples of ECG 'misses' - cases where the computer algorithm or the clinicians (or both) got the diagnosis wrong. While many textbooks include only smaller, black and white ECG tracings, which do not resemble actual clinical practice, this volume is designed to encourage self-study of the ECG by including full-page tracings in their natural color. The book focuses on 'don't miss' ECG tracings in order to help readers advance beyond the stage of 'competent' electrocardiographer. Anatomic and electrophysiologic correlations are emphasized throughout the work, helping readers appreciate the anatomic and electrical origi

本書全面介紹了數字圖像融合的基本概念和一些常見算法，便于讀者瞭解和學習數字圖像融合領域的一些前沿知識，以適應現代信息技術的發展。書中針對不同傳感器獲得的數字圖像進行了分類，幷對不同類型的數字圖像分別介紹了不同的圖像融合算法，可以給讀者提供有效的幫助和指導。本書分爲8章，主要內容包括圖像融合簡介、基于小波和輪廓波的多聚焦圖像融合、基于剪切波和Smoothlet的多聚焦圖像融合、紅外與可見光圖像融合、

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

Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working

Design optimization is a standard concept in engineering design, and in other disciplines which utilize mathematical decision-making methods. This textbook focuses on the close relationship between a design problem's mathematical model and the solution-driven methods which optimize it. Along with extensive material on modeling problems, this book also features useful techniques for checking whether a model is suitable for computational treatment. Throughout, key concepts are discussed in the context of why and when a particular algorithm may be successful, and a large number of examples demonstrate the theory or method right after it is presented. This book also contains step-by-step instructions for executing a design optimization project - from building the problem statement to interpreting the computer results. All chapters contain exercises from which instructors can easily build quizzes, and a chapter on 'principles and practice' offers the reader tips and guidance based on the au

A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. Readers will learn how to apply the main algorithms to practical problems, how to choose the best algorithm for a particular application, and how to process and interpret hyperspectral imaging data. A wealth of additional materials accompany the book online, including example projects and data for students, and problem solutions and viewgraphs for instructors. This is an essential text for senior undergraduate and graduate students looking to learn the fundamentals of imaging spectroscopy, and an invaluable reference for scientists and engineers working in the field.

In this fourth and final volume the author extends Buchberger's Algorithm in three different directions. First, he extends the theory to group rings and other Ore-like extensions, and provides an operative scheme that allows one to set a Buchberger theory over any effective associative ring. Second, he covers similar extensions as tools for discussing parametric polynomial systems, the notion of SAGBI-bases, Gröbner bases over invariant rings and Hironaka's theory. Finally, Mora shows how Hilbert's followers - notably Janet, Gunther and Macaulay - anticipated Buchberger's ideas and discusses the most promising recent alternatives by Gerdt (involutive bases) and Faugère (F4 and F5). This comprehensive treatment in four volumes is a significant contribution to algorithmic commutative algebra that will be essential reading for algebraists and algebraic geometers.

Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targe

The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools. These models are grounded on how the exchanges work, whether the algorithm is trading with better informed traders (adverse selection), and the type of information available to market participants at both ultra-high and low frequency. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and financial economics, taking the reader from basic ideas to cutting-edge research and practice. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this is the

智慧優化演算法是近年來一種新興的、源於生命科學的優化方法，是受到關注最多的優化研究領域之一。與其他類型的優化方法相比，該方法實現較為簡單、效率較高。本書以細菌覓食演算法（Bacteria Foraging Algorithm，BFO）為主線，涉及了很廣泛的一類智慧優化演算法。全書共分八章。其中第一章至第五章系統描述了遺傳演算法、神經網路、蟻群演算法、粒子群演算法、人工魚群演算法的理論、實現技術和最

This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms. Key topics covered include: • Calculus of random processes in linear systems • Kalman and Wiener filtering • Hidden Markov models for statistical inference • The estimation maximization (EM) algorithm • An introduction to martingales and concentration inequalities. Understanding of the key concepts is reinforced through over 100 worked examples and 300 thoroughly

Boolean functions are perhaps the most basic objects of study in theoretical computer science. They also arise in other areas of mathematics, including combinatorics, statistical physics, and mathematical social choice. The field of analysis of Boolean functions seeks to understand them via their Fourier transform and other analytic methods. This text gives a thorough overview of the field, beginning with the most basic definitions and proceeding to advanced topics such as hypercontractivity and isoperimetry. Each chapter includes a 'highlight application' such as Arrow's theorem from economics, the Goldreich–Levin algorithm from cryptography/learning theory, Håstad's NP-hardness of approximation results, and 'sharp threshold' theorems for random graph properties. The book includes roughly 450 exercises and can be used as the basis of a one-semester graduate course. It should appeal to advanced undergraduates, graduate students and researchers in computer science theory and related mat