Algorithms and data structures

Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments.

This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions.

This book explores the use of Blockchain and smart contract technologies to develop new ways to finance independent films and digital media worldwide.

This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018.

Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date.

This book constitutes the refereed joint proceedings of the Second International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2018 and the First International Workshop on Integrating Medical Imaging and Non-Imaging Modalities, Beyond MIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.

Social media data contains our communication and online sharing, mirroring our daily life.

This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018.

Evolving from an elementary discussion, this book develops the Euclidean algorithm to a very powerful tool to deal with general continued fractions, non-normal Pade tables, look-ahead algorithms for Hankel and Toeplitz matrices, and for Krylov subspace methods.

The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature.

This book provides an introduction to chemical engineering analysis- which reviews the processes and designs used to manufacture, use, and dispose of chemical products-and to Mathematica, one of the most powerful mathematical software tools available for symbolic, numerical, and graphical computing.

Recursive Algebra, Analysis and Combinatorics

This volume contains articles covering a broad spectrum of proof theory, with an emphasis on its mathematical aspects.

The chapters of this volume all have their own level of presentation.

Fundamental Data Compression provides all the information students need to be able to use this essential technology in their future careers.

This title is the result of a one-week workshop sponsored by the Swedish research agency, FRN, on the interface between complexity and art.

In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics.

An essential capacity of intelligence is the ability to learn.

Computability, Complexity, and Languages is an introductory text that covers the key areas of computer science, including recursive function theory, formal languages, and automata.

This volume is a self-contained, exhaustive exposition of the extrapolation methods theory, and of the various algorithms and procedures for accelerating the convergence of scalar and vector sequences.

Bioinformatics has never been as popular as it is today.

Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems.

Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and scheduling.

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.

How computational methods can expand how we see, read, and listen to Holocaust testimonyThe Holocaust is one of the most documentedand now digitizedevents in human history.

How computational methods can expand how we see, read, and listen to Holocaust testimonyThe Holocaust is one of the most documentedand now digitizedevents in human history.

Perturbed functional iterations (PFI) is a large scale nonlinear system solver.

This book explores the intuitive appeal of neural networks and the genetic algorithm in finance.

This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector.

Take the next step in raising your coding skills and dive into the intricacies of Java Standard Libraries.

This book contains the thoroughly refereed technical papers presented in eight workshops collocated with the International Conference on Software Technologies: Applications and Foundations, STAF 2018, held in Toulouse, France, in June 2018.

Building on what already is the most comprehensive introduction to competitive programming, this enhanced new textbook features new material on advanced topics, such as calculating Fourier transforms, finding minimum cost flows in graphs, and using automata in string problems.

Learn about quantum information processing with Qiskit through hands-on projects.

This book is the first attempt to provide a general theory of self-destruction in complex systems applicable to natural, social and cultural phenomena.

This book is dedicated to Professor Selim G.

Introduction to Computational Engineering with MATLAB(R) aims to teach readers how to use MATLAB programming to solve numerical engineering problems.

Introduction to Computational Engineering with MATLAB(R) aims to teach readers how to use MATLAB programming to solve numerical engineering problems.

Recursion: Mathematics and Python is designed to help readers develop a clear and systematic understanding of recursion as both a mathematical concept and a programming technique.

Recursion: Mathematics and Python is designed to help readers develop a clear and systematic understanding of recursion as both a mathematical concept and a programming technique.

Mathematical Foundations of Deep Learning offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning.

Mathematical Foundations of Deep Learning offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning.

What if everything we assume about artificial intelligence rests on a misconception of human intelligence?

What if everything we assume about artificial intelligence rests on a misconception of human intelligence?