Algorithms and data structures

Symbolic Integration I is destined to become the standard reference work in the field.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30-September 1, 2024.

This book constitutes the refereed proceedings of the Doctoral Consortium and Workshops on New Trends in Database and Information Systems, ADBIS 2023, held in Barcelona, Spain, during September 4-7, 2023.

This book constitutes the refereed proceedings of the 23rd International Conference on Next Generation Wired/Wireless Networking, NEW2AN 2023, and the 16th Conference on Internet of Things and Smart Spaces, ruSMART 2023, held in Dubai, United Arab Emirates, in December 21-22, 2023.

This book uses new mathematical tools to examine broad computability and complexity questions in enumerative combinatorics, with applications to other areas of mathematics, theoretical computer science, and physics.

This book constitutes the refereed proceedings of the 8th International Symposium on Combinatorial Optimization, ISCO 2024, held in La Laguna, Tenerife, Spain, during May 22-24, 2024.

This book constitutes the refereed proceedings of the 31th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2024, held in Haifa, Israel in May 2024.

Ontological Engineering refers to the set of activities that concern the ontology development process, the ontology life cycle, the methods and methodologies for building ontologies, and the tool suites and languages that support them.

Robust control mechanisms customarily require knowledge of the system's describing equations which may be of the high order differential type.

In the late 1960s British mathematician John Conway invented a virtual mathematical machine that operates on a two-dimensional array of square cell.

Speech Dereverberation gathers together an overview, a mathematical formulation of the problem and the state-of-the-art solutions for dereverberation.

Network Science is the emerging field concerned with the study of large, realistic networks.

HIS BOOK CONTAINS a most comprehensive text that presents syntax-directed and compositional methods for the formal veri?

Overview and Goals This book is dedicated to scheduling for parallel processing.

By introducing the principles of programming languages, using the Java language as a support, Gilles Dowek provides the necessary fundamentals of this language as a first objective.

Substantially revised, reorganised and updated, the second edition now comprises eighteen chapters, carefully arranged in a straightforward and logical manner, with many new results and open problems.

Compression is an option naturally selected when faced with problems of high costs or restricted space.

This newly expanded and updated second edition of the best-selling classic continues to take the "e;mystery"e; out of designing algorithms, and analyzing their efficacy and efficiency.

As we enter the third decade of the World Wide Web (WWW), the textual revolution has seen a tremendous change in the availability of online information.

Distributed search by agents is an important topic of distributed AI and has not been treated thoroughly as such.

Network models are critical tools in business, management, science and industry.

This book is a detailed description of the basics of three-dimensional digital image processing.

Biomolecular sequence comparison is the origin of bioinformatics.

Many people do not realise that mathematics provides the foundation for the devices we use to handle information in the modern world.

"e;Sustainability"e; is often used in a qualitative sense.

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.

This collection of articles on 'Work?

Images contain information about the spatial properties of the scene they depict.

Often, real-world problems modeled by Markov decision processes (MDPs) are difficult to solve in practise because of the curse of dimensionality.

Computer science abounds with applications of discrete mathematics, yet s- dents of computer science often study discrete mathematics in the context of purely mathematical applications.

Information visualization is not only about creating graphical displays of complex and latent information structures; it contributes to a broader range of cognitive, social, and collaborative activities.

This textbook is uniquely written with dual purpose.

Nowadays in the knowledge society, each member deals with a number of tasks related to knowledge management.

Most data compression methods that are based on variable-length codes employ the Huffman or Golomb codes.

Noisy data appear very naturally in applications where the authentication is based on physical identifiers.

Anyone with a computer has heard of viruses, had to deal with several, and has been struggling with spam, spyware, and disk crashes.

Space support in databases poses new challenges in every part of a database management system & the capability of spatial support in the physical layer is considered very important.

The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?

What we profoundly witness these days is a growing number of human-centric systems and a genuine interest in a comprehensive understanding of their underlying paradigms and the development of solid and efficient design practices.

Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences.

The last decade of the 20th century has witnessed a surge of interest in num- ical, computation-intensive approaches to information processing.

Efficient assembly line design is a problem of industrial importance.

Moving on from earlier stochastic and robust control paradigms, this book introduces the  fundamentals of probabilistic methods in the analysis and design of uncertain systems.

Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling.

Evolutionary Multiobjective Optimization is a rare collection of the latest state-of-the-art theoretical research, design challenges and applications in the field of multiobjective optimization paradigms using evolutionary algorithms.

Machines capable of automatic pattern recognition have many fascinating uses in science & engineering as well as in our daily lives.

Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science.

The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system identification.