Algorithms and data structures

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.

The objective of this book is to provide tools for solving problems which involve cubic number fields.

This book constitutes  the refereed post-conference proceedings of the 25th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2018, held in Ma'ale HaHamisha, Israel, in June 2018.

This book constitutes the refereed proceedings of the 9th International Conference on Computational Logistics, ICCL 2018, held in Vietri sul Mare, Italy, in October 2018.

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.

This book constitutes the proceedings of the 16th Russian Conference on Artificial Intelligence, RCAI 2018, Moscow, Russia, in September 2018.

This book constitutes the refereed proceedings of the 9th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2018, held in Xi'an, China, in July 2018.

This volume constitutes the refereed post-conference proceedings of the Third International Conference on Machine Learning and Intelligent Communications, MLICOM 2018, held in Hangzhou, China, in July 2018.

This book constitutes the proceedings of the 11th International Conference on Swarm Intelligence, ANTS 2018, held in Rome, Italy, in October 2018.

?

This book constitutes the proceedings of the 12th International Conference on Verification and Evaluation of Computer and Communication Systems ( VECoS 2018) held at Grenoble, France, in September 2018.

This book constitutes the revised selected papers of the 44th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2018, held  in Cottbus, Germany, in June 2018.

This six volume set LNCS 11063 - 11068 constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Cloud Computing and Security, ICCCS 2018, held in Haikou, China, in June 2018.

This six volume set LNCS 11063 - 11068 constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Cloud Computing and Security, ICCCS 2018, held in Haikou, China, in June 2018.

This six volume set LNCS 11063 - 11068 constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Cloud Computing and Security, ICCCS 2018, held in Haikou, China, in June 2018.

This book constitutes the refereed proceedings of the 16th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2018, held in Beijing, China, in September 2018.

Disjunctive Programming is a technique and a discipline initiated by the author in the early 1970's, which has become a central tool for solving nonconvex optimization problems like pure or mixed integer programs, through convexification (cutting plane) procedures combined with enumeration.

This book constitutes the refereed proceedings of the 41st German Conference on Artificial Intelligence, KI 2018, held in Berlin, Germany, in September 2018.

As multicriteria decision-making (MCDM) continues to grow and evolve, machine learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems.

This book explores mathematics in a wide variety of applications, ranging from problems in electronics, energy and the environment, to mechanics and mechatronics.

By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, Internet of Things (IoT) adoption in manufacturing creates huge economic prospects through reshaping industries.

As Ambient Intelligence (AmI) ecosystems are rapidly becoming a reality, they raise new research challenges.

"e;Viruses don't harm, ignorance does.

Parallelism is the key to achieving high performance in computing.

Parallelism is the key to achieving high performance in computing.

Nash equilibrium is the central solution concept in Game Theory.

The Fourier transform is one of the most fundamental tools for computing the frequency representation of signals.

The Fourier transform is one of the most fundamental tools for computing the frequency representation of signals.

Nash equilibrium is the central solution concept in Game Theory.

This book is intended to provide an introduction to recommender systems using Apache Spark and Machine Learning.

This book delivers theoretical and practical knowledge of Genetic Algorithms (GA) for the purpose of practical applications.

This book covers neural networks with special emphasis on advanced learning methodologies and applications.

Unlock the future of technology with this captivating exploration of swarm intelligence.

This textbook introduces the fundamental concepts and techniques used in biometric recognition to students, practitioners, and non-experts in the field.

A comprehensive guide to help aspiring and professional C++ developers elevate the performance of their apps by allowing them to run faster and consume fewer resources.

Learn to implement complex data structures and algorithms using PythonKey FeaturesUnderstand the analysis and design of fundamental Python data structuresExplore advanced Python concepts such as Big O notation and dynamic programmingLearn functional and reactive implementations of traditional data structuresBook DescriptionData structures allow you to store and organize data efficiently.

Learn everything you need to know about object-oriented programming with the latest features of Kotlin 1.

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.

Explore a wide variety of popular interview questions and learn various techniques for breaking down tricky bits of code and algorithms into manageable chunksKey FeaturesDiscover over 200 coding interview problems and their solutions to help you secure a job as a Java developerWork on overcoming coding challenges faced in a wide array of topics such as time complexity, OOP, and recursionGet to grips with the nuances of writing good code with the help of step-by-step coding solutionsBook DescriptionJava is one of the most sought-after programming languages in the job market, but cracking the coding interview in this challenging economy might not be easy.

Updated and revised second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problemsKey FeaturesUpdated to include new algorithms and techniquesCode updated to Python 3.

New edition of the bestselling guide to deep reinforcement learning and how it's used to solve complex real-world problems.

Use your programming skills to create and optimize high-frequency trading systems in no time with Java, C++, and PythonKey FeaturesLearn how to build high-frequency trading systems with ultra-low latencyUnderstand the critical components of a trading systemOptimize your systems with high-level programming techniquesBook DescriptionThe world of trading markets is complex, but it can be made easier with technology.

With the flexibility and features of scikit-learn and Python, build machine learning algorithms that optimize the programming process and take application performance to a whole new levelKey FeaturesExplore scikit-learn uniform API and its application into any type of modelUnderstand the difference between supervised and unsupervised modelsLearn the usage of machine learning through real-world examplesBook DescriptionAs machine learning algorithms become popular, new tools that optimize these algorithms are also developed.

The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.

A comprehensive guide to learning fundamental 3D mathematical principles used in games and computer graphics by exampleKey FeaturesGet acquainted with the essential mathematics needed to describe, simulate, and render 3D creationsConstruct and manipulate 3D animated environments using Python, Pygame, and PyOpenGLDevelop vertex and fragment shaders in OpenGL shader language to speed up renderingBook DescriptionMathematics is an essential skill when it comes to graphics and game development, particularly if you want to understand the generation of real-time computer graphics and the manipulation of objects and environments in a detailed way.

Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guideKey FeaturesExplore useful design patterns along with object-oriented programming in Julia 1.

Genetic programming is a new and evolutionary method that has become a novel area of research within artificial intelligence known for automatically generating high-quality solutions to optimization and search problems.

In recent years, swarm intelligence has become a popular computational approach among researchers working on optimization problems throughout the globe.