Data Structures Using C

C# programmers: no more translating data structures from C++ or Java to use in your programs! Mike McMillan provides a tutorial on how to use data structures and algorithms plus the first comprehensive reference for C# implementation of data structures and algorithms found in the .NET Framework library, as well as those developed by the programmer. The approach is very practical, using timing tests rather than Big O notation to analyze the efficiency of an approach. Coverage includes arrays and array lists, linked lists, hash tables, dictionaries, trees, graphs, and sorting and searching algorithms, as well as more advanced algorithms such as probabilistic algorithms and dynamic programming. This is the perfect resource for C# professionals and students alike.

PData Structures and Problem Solving Using C++ provides a practical introduction to data structures and algorithms from the viewpoint of abstract thinking and problem solving, as well as the use of C+

Most books on data structures are filled with so many technical details (and lack thorough explanations) that the reading becomes difficult. This accessible, conversational presentation explores data

Dale, Joyce, and Weems present the algorithmic, programming, and structuring techniques of a traditional data structures course in an object-oriented context. They stress software engineering principl

Written to present the algorithmic, programming, and structuring techniques of traditional data structures courses in an object-oriented context, this text presents the familiar topics, but with an em

Strengthen your understanding of data structures and their algorithms for the foundation you need to successfully design, implement and maintain virtually any software system. Theoretical, yet practic

Introduce your students to programming with C++ using today's definitive choice for teaching a first programming language course -- C++ PROGRAMMING: FROM PROBLEM ANALYSIS TO PROGRAM DESIGN, 8E. D.S. M

Data Structures and Algorithm Analysis in C++ is an advanced algorithms book that bridges the gap between traditional CS2 and Algorithms Analysis courses. As the speed and power of computers increa

Explores some of the more advanced tools in computer programming such as structured problem solving, object- oriented programming, data abstraction, and the comparative analysis of algorithms. The aut

In this second edition of his best-selling book, Data Structures and Algorithm Analysis in C, Mark Allen Weiss, continues to refine and enhance his innovative approach to algorithms and data structure

Text develops the concepts and theories of data structures and algorithm analysis in a gradual, step-by-step fashion, proceeding from concrete examples to abstract principles. The author discusses man

Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, t

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.

This textbook provides an in depth course on data structures in the context of object oriented development. Its main themes are abstraction, implementation, encapsulation, and measurement: that is, th

Most books on data structures assume an imperative language like C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques so that programmers can develop their own functional data structures. It includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs can easily be adapted to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

Based on the authors’ market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Struct

This practical business analytics in sport book provides students and industry leaders with innovative strategies to collect data and convert it into meaningful information that enables sport business

Depictions of globalization commonly recite a story of a market unleashed, bringing Big Macs and iPhones to all corners of the world. Human society appears as a passive observer to a busy revolution of an invisible global market, paradoxically unfolding by its own energy. Sometimes, this market is thought to be unleashed by politicians working on the surface of an autonomous state. This book rejects both perspectives and provides an analytically rich alternative to conventional approaches to globalization. By the 1980s, an enduring corporate coalition advanced in nearly synonymous terms free trade, tax cuts, and deregulation. Highly networked corporate leaders and state officials worked in concert to produce the trade policy framework for neoliberal globalization. Marshalling original network data and a historical narrative, this book shows that the globalizing corporate titans of the late 1960s aligned with economic conservatives to set into motion this vision of a global free market.

This volume tackles the conflicting requirements of data compression and indexing in massive datasets, by using optimization techniques to improve compression and reconfiguring data structure to incre

Supplying a comprehensive survey of modern cryptography, this book details how programmers and electronic communications professionals can use cryptography to maintain the privacy of computer data. It

Using the neo-classical theory of production economics as the analytical framework, this book, first published in 2004, provides a unified and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based in different disciplines. The various DEA models are developed as nonparametric alternatives to the econometric models. Apart from the standard fare consisting of the basic input- and output-oriented DEA models formulated by Charnes, Cooper, and Rhodes, and Banker, Charnes, and Cooper, the book covers developments such as the directional distance function, free disposal hull (FDH) analysis, non-radial measures of efficiency, multiplier bounds, mergers and break-up of firms, and measurement of productivity change through the Malmquist total factor productivity index. The chapter on efficiency measurement using market prices provides the critical link between DEA and the neo-classical theory of a competitive firm. The

This book offers new transparent views and step-by-step methods for performance evaluation of a set of units using Data Envelopment Analysis (DEA). The book has twelve practical chapters. Elementary c

Uneven Urbanscape takes a new theoretically grounded view of how society produces and reproduces ethnoracial economic inequality. Drawing on empirically rich documentation and quantitative analysis utilizing multiple data sources, including the US Bureau of the Census, Ong and Gonzalez assess the patterns, causes, and consequences of urban spatial disparities, specifically in home ownership, employment, and education. They focus on the global city of Los Angeles in order to examine outcomes across small geographic units that approximate neighborhoods and places, and to analyze the location-specific effects of geographic access and isolation within the region. Using a mix of micro-level data and aggregated statistics, Uneven Urbanscape provides one of the most comprehensive understandings of urban ethnoracial disparities and inequalities from 1960 to the present day.

This modern introduction to seismic data processing in both exploration and global geophysics demonstrates practical applications through real data and tutorial examples. The underlying physics and mathematics of the various seismic analysis methods are presented, giving students an appreciation of their limitations and potential for creating models of the sub-surface. Designed for a one-semester course, this textbook discusses key techniques within the context of the world's ever increasing need for petroleum and mineral resources - equipping upper undergraduate and graduate students with the tools they need for a career in industry. Examples presented throughout the text allow students to compare different methods and can be demonstrated using the instructor's software of choice. Exercises at the end of sections enable students to check their understanding and put the theory into practice and are complemented by solutions for instructors and additional case study examples online to c

Computational experiments on algorithms can supplement theoretical analysis by showing what algorithms, implementations and speed-up methods work best for specific machines or problems. This book guides the reader through the nuts and bolts of the major experimental questions: What should I measure? What inputs should I test? How do I analyze the data? To answer these questions the book draws on ideas from algorithm design and analysis, computer systems, and statistics and data analysis. The wide-ranging discussion includes a tutorial on system clocks and CPU timers, a survey of strategies for tuning algorithms and data structures, a cookbook of methods for generating random combinatorial inputs, and a demonstration of variance reduction techniques. The book can be used by anyone who has taken a course or two in data structures and algorithms. A companion website, AlgLab (www.cs.amherst.edu/alglab) contains downloadable files, programs and tools for use in experimental projects.

Policymaking in the realm of elections is too often grounded in anecdotes and opinions, rather than in good data and scientific research. To remedy this, The Measure of American Elections brings together a dozen leading scholars to examine the performance of elections across the United States, using a data-driven perspective. This book represents a transformation in debates about election reform, away from partisan and ideological posturing, toward using scientific analysis to evaluate the conduct of contemporary elections. The authors harness the power of newly available data to document all aspects of election administration, ranging from the registration of voters to the counting of ballots. They demonstrate what can be learned from giving serious attention to data, measurement, and objective analysis of American elections.

This ground-breaking volume explores a series of inter-related key themes in Saharan archaeology and history. Migration and identity formation can both be approached from the perspective of funerary archaeology, using the combined evidence of burial structures, specific rites and funerary material culture, and integrated methods of skeletal analysis including morphometrics, palaeopathology and isotopes. Burial traditions from various parts of the Sahara are compared and contrasted with those of the Nile Valley, the Maghreb and West Africa. Several chapters deal with the related evidence of human migration derived from linguistic study. The volume presents the state of the field of funerary archaeology in the Sahara and its neighbouring regions and sets the agenda for future research on mobility, migration and identity. It will be a seminal reference point for Mediterranean and African archaeologists, historians and anthropologists as well as archaeologists interested in burial and migr

Do company profits eventually converge on a common, competitive level? How long does the convergence process take? This book seeks to answer these questions through a comparison of company profitability using time-series data compiled at the firm level and at the industry level in Canada, France, Japan, Sweden, West Germany, the United Kingdom, and the United States. The emphasis is on long-run, dynamic processes, and the perspective is that of Joseph Schumpeter, with profits converging, if at all, to competitive levels only in the long run. The basic methodology of the book is presented in one chapter, with the subsequent chapters focusing on results for individual countries. A summary chapter presenting major resolutions and their implications concludes the book.

Pyrooz and Decker pull apart the bars on prison gangs to uncover how they compete for control. While there is much speculation about these gangs, there is little solid research. This book draws on interviews with 802 inmates - half of whom were gang members - in two Texas prisons; one of the largest samples of its kind. Using this data, the authors explore how gangs organize and govern, who joins gangs and how they get out, the dark side of gang activities including misconduct and violence, the ways in which gang membership spills onto the street, and the direct and indirect links between the street and prison gangs. Competing for Control captures the nature of gangs in a time of transition, as prison gangs become more horizontal and their power is diffused across groups. There is no study like this one.

Profits in the Long Run asks two questions: Are there persistent differences in profitability across firms? If so, what accounts for them? This book answers these questions using data for the 1000 largest US manufacturing firms in 1950 and 1972. It finds that there are persistent differences in profitability and market power across large US companies. Companies with persistently high profits are found to have high market shares and sell differentiated products. Mergers do not result in synergistic increases in profitability, but they do have an averaging effect. Companies with above normal profits have their profits lowered by mergers. Companies with initially below normal profits have them raised. In addition, the influence of other variables on long-run profitability, including risk, sales, diversification, growth and managerial control, is explored. The implications of antitrust policy are likewise addressed.