Algorithms and data structures

Understand and implement data structures and bridge the gap between theory and application.

The fourth industrial revolution challenges humanity ethically and morally: mass unemployment, new forms of colonialism, and mass-and-granular surveillance are a few examples of these challenges.

Offers an up-to-date, unified treatment of combinatorial algorithms to solve network flow problems for graduate students and professionals.

This book presents the foundations of phylogeny estimation and technical material enabling researchers to develop improved computational methods.

Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.

Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.

This concise text offers an accessible, conceptual presentation for students in any quantitative field.

This concise text offers an accessible, conceptual presentation for students in any quantitative field.

Offers an up-to-date, unified treatment of combinatorial algorithms to solve network flow problems for graduate students and professionals.

This practical, applications-oriented book describes essential tools for efficiently handling massive amounts of data.

This practical, applications-oriented book describes essential tools for efficiently handling massive amounts of data.

The introduction to market design discusses the theory and empirical results relevant for the design of multi-object auctions and matching.

This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.

The introduction to market design discusses the theory and empirical results relevant for the design of multi-object auctions and matching.

This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.

This accessible introduction features case studies in online advertising, spectrum auctions, kidney exchange, and network management.

This accessible introduction features case studies in online advertising, spectrum auctions, kidney exchange, and network management.

A thorough introduction to probabilistic numerics showing how to build more flexible, efficient, or customised algorithms for computation.

A hands-on, entry-level guide to algorithms for extracting information about social and economic behavior from network data.

A hands-on, entry-level guide to algorithms for extracting information about social and economic behavior from network data.

Provides evidence-based guidelines in schematic flowcharts, representing a step-by-step method of solving clinical problems in gynaecology.

This is the first book to cover the theory of noise sensitivity of Boolean functions with particular emphasis on critical percolation.

This is the first book to cover the theory of noise sensitivity of Boolean functions with particular emphasis on critical percolation.

Unified and self-contained introduction to term-rewriting; suited for students or professionals.

Unified and self-contained introduction to term-rewriting; suited for students or professionals.

First published in 1987, the seven chapters that comprise this book review contemporary work on the geometric side of robotics.

First published in 1987, the seven chapters that comprise this book review contemporary work on the geometric side of robotics.

Traditionally, Sociology has identified its subject matter as a distinct set - social phenomena - that can be taken as quite different and largely disconnected from potentially relevant disciplines such as Psychology, Economics or Planetary Ecology.

Traditionally, Sociology has identified its subject matter as a distinct set - social phenomena - that can be taken as quite different and largely disconnected from potentially relevant disciplines such as Psychology, Economics or Planetary Ecology.

Published in 1996, Richard Jones's Garbage Collection was a milestone in the area of automatic memory management.

Published in 1996, Richard Jones's Garbage Collection was a milestone in the area of automatic memory management.

Extremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors' recent original research results.

Extremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors' recent original research results.

Divided roughly into two sections, this book provides a brief history of the development of ECG along with heart rate variability (HRV) algorithms and the engineering innovations over the last decade in this area.

Machine learning, one of the top emerging sciences, has an extremely broad range of applications.

Representation Theory of Symmetric Groups is the most up-to-date abstract algebra book on the subject of symmetric groups and representation theory.

Algorithmics of Nonuniformity is a solid presentation about the analysis of algorithms, and the data structures that support them.

Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world applications.

Disk-Based Algorithms for Big Data is a product of recent advances in the areas of big data, data analytics, and the underlying file systems and data management algorithms used to support the storage and analysis of massive data collections.

Disk-Based Algorithms for Big Data is a product of recent advances in the areas of big data, data analytics, and the underlying file systems and data management algorithms used to support the storage and analysis of massive data collections.

Principles of Concurrent and Distributed Programming provides an introduction to concurrent programming focusing on general principles and not on specific systems.

Data Structures and Abstractions with Java is suitable for one- or two-semester courses in data structures (CS-2) in the departments of Computer Science, Computer Engineering, Business, and Management Information Systems.

Algorithm Design introduces algorithms by looking at the real-world problems that motivate them.

For a one/two-semester courses in Computer Networks, Data Communications, and Communications Networks in CS, CIS, and Electrical Engineering departments.

Data Structures and Algorithm Analysis in Java is an advanced algorithms book that fits between traditional CS2 and Algorithms Analysis courses.

Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner.

Master the Powerful Multitenant Features of Oracle Database 12cGovern a scalable, extensible, and highly available enterprise database environment using the practical information contained in this Oracle Press guide.

Master the Big Data Capabilities of Oracle R EnterpriseEffectively manage your enterprise s big data and keep complex processes running smoothly using the hands-on information contained in this Oracle Press guide.

This graduate-level text gives a thorough overview of the analysis of Boolean functions, beginning with the most basic definitions and proceeding to advanced topics.

This graduate-level text gives a thorough overview of the analysis of Boolean functions, beginning with the most basic definitions and proceeding to advanced topics.