Algorithms - ESA 2011

The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming.—Byte, September 1995I can't begin to tell you ho

""This is an eminently readable book which an ordinary programmer, unskilled in mathematical analysis and wary of theoretical algorithms, ought to be able to pick up and get a lot out of.."- Steve Sum

All young computer scientists who aspire to write programs must learn something about algorithms and data structures. This book does exactly that. Based on lecture courses developed by the author over

This book summarizes developments related to a class of methods called Stochastic Decomposition (SD) algorithms, which represent an important shift in the design of optimization algorithms. Unlike tra

algorithms and data structures in C++ Leendert Ammeraal Hogeschool van Utrecht, The Netherlands C++ is capable of tackling a whole range of programming tasks. The purpose of this book is to give bread

An introduction to the algorithms of computer algebra. These algorithms are discussed from both a theoretical and practical perspective. Those cases where theoretically optimal algorithms are inapprop

First published in 1993, this thesis is concerned with the design of efficient algorithms for listing combinatorial structures. The research described here gives some answers to the following questions: which families of combinatorial structures have fast computer algorithms for listing their members? What general methods are useful for listing combinatorial structures? How can these be applied to those families which are of interest to theoretical computer scientists and combinatorialists? Amongst those families considered are unlabelled graphs, first order one properties, Hamiltonian graphs, graphs with cliques of specified order, and k-colourable graphs. Some related work is also included, which compares the listing problem with the difficulty of solving the existence problem, the construction problem, the random sampling problem, and the counting problem. In particular, the difficulty of evaluating Pólya's cycle polynomial is demonstrated.

he Fast Fourier Transform family of algorithms has revolutionized many areas of scientific computation. The FFT is one of the most widely used algorithms in science and engineering, with applications

Robert Dale presents a detailed description of the development of algorithms for the generation of referring expressions, and of the underlying structures that motivate these algorithms, in a dynamic

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《世界軍事年鑒（2011版）》設置8個欄目：軍事要事，各國軍事概況，軍事理論研究，軍事技術，軍事建設，世界軍事大事記，特輯，彩色圖片。《世界軍事年鑒（2011版）》所收資料的時限，一般為2010年1月至2010年12月，少數截至2011年6月；領導人物資料一般截至2011年6月；某些專題資料和某些首次設立的類（項、條）目，為了給讀者以比較全面系統的信息，收載了2010年以前的少量背景資料。

《2011年國家司法考試單科階段強化測試(套裝共8冊)》包括《2011年國家司法考試單科階段強化測試：國際法·國際私法·國際經濟法》、《2011年國家司法考試單科階段強化測試：理論法學》、《2011年國家司法考試單科階段強化測試：商法·經濟法》、《2011年國家司法考試單科階段強化測試：行政法與行政訴訟法》、《2011年國家司法考試單科階段強化測試：民法》、《2011年國家司法考試單科階段強化測試

Data Structures and Algorithm Analysis in Java is an advanced algorithms book that fits between traditional CS2 and Algorithms Analysis courses. In the old ACM Curriculum Guidelines, this course was k

《CAXA製造工程師2011與CAXA數控車（附光盤）》主要針對"CAXA製造工程師2011"和"CAXA數控車2011"進行全面介紹，內容包括CAXA製造工程師2011軟件的基本知識、線架造型、實體特徵造型、曲面造型、平面類加工、曲面類加工、多軸加工和CAXA數控車2011的二維圖的繪製、輪廓粗車、輪廓精車、切槽、車螺紋等。在講述的過程中從初學者的角度出發，強調實用性、可操作性。全書不僅對基本概念和基本操作方法的講述淺顯易懂，深入淺出，在每個重要的知識點之後還安排了大量典型實用的例題，使學習者能夠結合實例進行學習，另外，為了便於學習，本書還配有例題和部分課後習題的詳細的視頻教程。本書可以作為高職高專院校、高等學校等相關專業學生的教材，數控工藝員、數控大賽等的培訓用書，同時還可以作為"CAXA製造工程師2011和CAXA數控車2011"的自學教程。·

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. This book presents theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom.The book first mathematically formulates classification problems, defines common notations, and reviews various algorithms for supervised binary and multiclass classif

中國傳媒大學和北京市律師協會自2011年以來每年開展年度中國十大傳媒法事例評選暨學術研討活動，已經成為推動我國傳媒法治進程的一項品牌活動。本書收錄了2011―2020年評選的近百個典型事例及專家點評意見，對記錄中國傳媒法治發展歷史，推動傳媒法治發展具有積極價值。

《AutoCAD 2011 基礎教程》由淺入深、循序漸進地介紹了Autodesk公司最新推出的計算機輔助設計軟件AutoCAD 2011的基本功能和使用技巧。全書共17章，分別介紹了AutoCAD 2011入門基礎，繪制與編輯簡單二維圖形對象，繪制與編輯復雜二維圖形對象，創建文字和表格，標注圖形尺寸，繪制三維圖形對象，編輯和渲染三維圖形對象，使用塊、屬性塊、AutoCAD設計中心、工具選項板，繪制

Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers develop predictive models through AI/ML algorithms by writing their own computer code or usin

Applications of Computational Intelligence in Multi-Disciplinary Research provides readers with a comprehensive handbook for applying the powerful principles, concepts and algorithms of Computational

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

Statistically-derived algorithms, adopted by many jurisdictions in an effort to identify the risk of reoffending posed by criminal defendants, have been lambasted as racist, de-humanizing, and antithetical to the foundational tenets of criminal justice. Just Algorithms argues that these attacks are misguided and that, properly regulated, risk assessment tools can be a crucial means of safely and humanely dismantling our massive jail and prison complex. The book explains how risk algorithms work, the types of legal questions they should answer, and the criteria for judging whether they do so in a way that minimizes bias and respects human dignity. It also shows how risk assessment instruments can provide leverage for curtailing draconian prison sentences and the plea-bargaining system that produces them. The ultimate goal of Christopher Slobogin's insightful analysis is to develop the principles that should govern, in both the pretrial and sentencing settings, the criminal justice syste

Statistically-derived algorithms, adopted by many jurisdictions in an effort to identify the risk of reoffending posed by criminal defendants, have been lambasted as racist, de-humanizing, and antithetical to the foundational tenets of criminal justice. Just Algorithms argues that these attacks are misguided and that, properly regulated, risk assessment tools can be a crucial means of safely and humanely dismantling our massive jail and prison complex. The book explains how risk algorithms work, the types of legal questions they should answer, and the criteria for judging whether they do so in a way that minimizes bias and respects human dignity. It also shows how risk assessment instruments can provide leverage for curtailing draconian prison sentences and the plea-bargaining system that produces them. The ultimate goal of Christopher Slobogin's insightful analysis is to develop the principles that should govern, in both the pretrial and sentencing settings, the criminal justice syste

Providing the first truly comprehensive overview of Network Tomography - a novel network monitoring approach that makes use of inference techniques to reconstruct the internal network state from external vantage points - this rigorous yet accessible treatment of the fundamental theory and algorithms of network tomography covers the most prominent results demonstrated on real-world data, including identifiability conditions, measurement design algorithms, and network state inference algorithms, alongside practical tools for applying these techniques to real-world network management. It describes the main types of mathematical problems, along with their solutions and properties, and emphasizes the actions that can be taken to improve the accuracy of network tomography. With proofs and derivations introduced in an accessible language for easy understanding, this is an essential resource for professional engineers, academic researchers, and graduate students in network management and netwo

A multidisciplinary introduction to the field of computational creativity, analyzing the impact of advanced generative technologies on art and music.As algorithms get smarter, what role will computers

Egypt's film industry is the largest in the Middle East, with an output that spreads across the region and the world. In the run-up to and throughout the 2011 Revolution, a complex relationship formed

《中國高等教育質量評價與發展指數報告2011：2015》由杭州電子科技大學中國科教評價研究院（CASEE）、武漢大學教育科學研究院和“金平果”科教評價網共同研發，由邱均平、王傳毅、張蕊、宋博等編著。《中國高等教育質量評價與發展指數報告2011：2015》共分為六章，第1章是緒論，主要介紹了《中國高等教育質量評價與發展指數報告2011：2015》的背景、意義、研究綜述以及篇章結構。第2章到第5章分別

本書是浙江省民辦教育發展年鑒(2011-2020年)卷。本書全面回顧整理了2011年至2020年浙江省各級各類民辦教育發展的歷程和現狀，研究分析了發展中存在的問題與挑戰，並對後續發展提出了一些思考和建議。

Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications and algorithms in sufficient detail for practical use, while providing you with all the necessary background in a self-contained manner. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer programming and model predictive control. Presents a complete coverage of formulations and instances in modelling where optimization can be applied for quantitative decision-making. As a thorough grounding to the subject, covering everything from basic to advanced concepts and addressing real-life problems faced by modern industry, this is a perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.

There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.

Networks powered by algorithms are pervasive. Major contemporary technology trends - Internet of Things, Big Data, Digital Platform Power, Blockchain, and the Algorithmic Society - are manifestations of this phenomenon. The internet, which once seemed an unambiguous benefit to society, is now the basis for invasions of privacy, massive concentrations of power, and wide-scale manipulation. The algorithmic networked world poses deep questions about power, freedom, fairness, and human agency. The influential 1997 Federal Communications Commission whitepaper “Digital Tornado” hailed the “endless spiral of connectivity” that would transform society, and today, little remains untouched by digital connectivity. Yet fundamental questions remain unresolved, and even more serious challenges have emerged. This important collection, which offers a reckoning and a foretelling, features leading technology scholars who explain the legal, business, ethical, technical, and public policy challenges of b

Papers from an October 2002 symposium describe research in areas including algorithms, artificial intelligence, computer graphics, computer networks, databases, evolutionary computation, graph theory,

This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. In addition, each chapter contains a description of selec

This book is devoted to five main principles of algorithm design: divide and conquer, greedy algorithms, thinning, dynamic programming, and exhaustive search. These principles are presented using Haskell, a purely functional language, leading to simpler explanations and shorter programs than would be obtained with imperative languages. Carefully selected examples, both new and standard, reveal the commonalities and highlight the differences between algorithms. The algorithm developments use equational reasoning where applicable, clarifying the applicability conditions and correctness arguments. Every chapter concludes with exercises (nearly 300 in total), each with complete answers, allowing the reader to consolidate their understanding and apply the techniques to a range of problems. The book serves students (both undergraduate and postgraduate), researchers, teachers, and professionals who want to know more about what goes into a good algorithm and how such algorithms can be expresse

This book is intended as a compilation of competition problems of Po Leung Kuk Primary Mathematics World Contest from year 2011 to 2019. It features a large collection of interesting and thought-provo

Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for grad

An illuminating look at the surprising history and science of astrology, civilization’s first system of algorithms, from Babylon to the present day.Humans are pattern-matching creatures, and astrology

Advanced Electromagnetic Computation with MATLAB (R) discusses commercial electromagnetic software, widely used in the industry. Algorithms of Finite Differences, Moment method, Finite Element method

《中國婦女研究鑒》由全國婦聯研究所組織有關專家編寫，是比較全面、系統地彙編某幾年度的婦女/性別研究發展成果和信息的連續出版的學術性、資料性工具書。它以5年為週期，《中國婦女研究年鑒(2011～2015)》是其第五卷，主要由前言，2011～2015年中國婦女/性別研究概述，研究綜述(婦女/性別專題研究綜述、學科建設研究綜述)，研究成果選介(課題/項目選介、論著選介、論文選介)，研究機構和組織、學術活