Algorithms and data structures

Concurrency in Dependable Computing focuses on concurrency related issues in the area of dependable computing.

The theory of computing provides computer science with concepts, models, and formalisms for reasoning about both the resources needed to carry out computa- tions and the efficiency of the computations that use these resources.

Data-Driven Techniques in Speech Synthesis gives a first review of this new field.

The design of computer systems to be embedded in critical real-time applications is a complex task.

The increasing amount of information available in today's world raises the need to retrieve relevant data efficiently.

Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing is an up-to-date overview of audio and video content analysis.

The ability to analyze and understand massive data sets lags far behind the ability to gather and store the data.

Basics of Software Engineering Experimentation is a practical guide to experimentation in a field which has long been underpinned by suppositions, assumptions, speculations and beliefs.

This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology.

Knowledge Discovery and Measures of Interest is a reference book for knowledge discovery researchers, practitioners, and students.

Industrial Mathematics is a relatively recent discipline.

Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches covers recent developments in optimization techniques for addressing several computational chemistry and biology problems.

The Volume on Advances in Steiner Trees is divided into two sections.

People are facing more and more NP-complete or NP-hard problems of a combinatorial nature and of a continuous nature in economic, military and management practice.

Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather differently, are closely related to each other.

Data compression is one of the most important techniques in computing engineering.

Though the volume covers 22 papers by 36 authors from 12 countries, the history in the background is bound to Hungary where, in 1973 Andras Pnkopa started to lay the foundation of a scientific forum, which can be a regular meeting spot for experts of the world in the field.

The quadratic assignment problem (QAP) was introduced in 1957 by Koopmans and Beckmann to model a plant location problem.

Briefly, we review the basic elements of computability theory and prob- ability theory that are required.

In recent years global optimization has found applications in many interesting areas of science and technology including molecular biology, chemical equilibrium problems, medical imaging and networks.

An Introduction to Programming with Mathematica is the first book published expressly to teach Mathematica as a programming language to scientists, engineers, mathematicians, and computer scientists.

Mathematica is a computer program (software) for doing symbolic, numeric and graphical analysis of mathematical problems.

Over the last several years, there has been a significant increase in compu- tational combinatorics.

Database Concurrency Control: Methods, Performance and Analysis is a review of developments in concurrency control methods for centralized database systems, with a quick digression into distributed databases and multicomputers, the emphasis being on performance.

Master Python data structures with practical examples and exercises.

Computer Arithmetic in Practice: Exercises and Programming is a simple, brief introductory volume for undergraduate and graduate students at university courses interested in understanding the foundation of computers.

From the host of The Rest is Science podcast and star of The Celebrity Traitors Season 2.

The gripping and definitive in-the-room account of the revolution that has swept the news industry over the last decade and reshaped our world.

Build interactive, database-driven websites with PHP 7, MySQL 8, and MariaDB.

If you've ever felt the exhilaration of cracking a thorny problem or the joy of witnessing elegant code that challenges your mind, then this book is tailor-made for you.

This book constitutes - in conjunction with the two-volume set LNCS 10954 and LNCS 10955 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018.

Least squares is probably the best known method for fitting linear models and by far the most widely used.

Starting with Cook's pioneering work on NP-completeness in 1970, polynomial complexity theory, the study of polynomial-time com- putability, has quickly emerged as the new foundation of algorithms.

Several years ago when I began consulting full time, I quickly discovered that despite three advanced academic degrees my practical industrial experience had some significant gaps.

In modem organizations, data has been added to the classical economic assets of land, labor, and capital.

In symbolic computation on computers, also known as computer algebra, keyboard and display replace the traditional pencil and paper in doing mathematical computations.

How to Use This Handbook The Maple Handbook is a complete reference tool for the Maple language, and is written for all Maple users, regardless of their dis- cipline or field(s) of interest.

The Fourier transform of large multidimensional data sets is an essen- tial computation in many scientific and engineering fields, including seismology, X-ray crystallography, radar, sonar and medical imaging.

Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems.

In the digital age, technological solutions are being developed and integrated into every aspect of our everyday lives.

Advancements in the nature-inspired swarm intelligence algorithms continue to be useful in solving complicated problems in nonlinear, non-differentiable, and un-continuous functions as well as being applied to solve real-world applications.

Security video surveillance systems, such as homeland security and national defense, rely on specific mathematical algorithms in order to run effectively.

Security video surveillance systems, such as homeland security and national defense, rely on specific mathematical algorithms in order to run effectively.

As the amount of accumulated data across a variety of fields becomes harder to maintain, it is essential for a new generation of computational theories and tools to assist humans in extracting knowledge from this rapidly growing digital data.

Machine learning is the branch of artificial intelligence whose goal is to develop algorithms that add learning capabilities to computers.

In a global, highly competitive environment, organizations face increasing economic pressure and customer demands for more complex products and services.

A student-friendly text, A Concise Introduction to Data Structures Using Java takes a developmental approach, starting with simpler concepts first and then building toward greater complexity.

Designed for a one-semester course, Introduction to Numerical Analysis and Scientific Computing presents fundamental concepts of numerical mathematics and explains how to implement and program numerical methods.