This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques.
The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples.
30-Second Data Scienceis the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives.
This book addresses and disseminates state-of-the-art research and development in the applications of soft computing techniques for renewable energy systems.
This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence.
This book presents algorithms and tools that are designed to model and extract information from personal contact networks, which represent which individuals in a population are physically in contact with one another.
This book presents algorithms and tools that are designed to model and extract information from personal contact networks, which represent which individuals in a population are physically in contact with one another.
Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today's quickest supercomputer, the scaling up of algorithms and applications for this class of computers remains a tough challenge.
This book explores the exciting world of quantum computing, from its theoretical foundations to its practical applications, offering both non-technical and expert readers a comprehensive and accessible introduction to this cutting-edge technology that has the potential to revolutionize the way we process and transmit information.
This book provides a coherent and unifying view for logic and representation learning to contribute to knowledge graph (KG) reasoning and produce better computational tools for integrating both worlds.
This reference presents a more efficient, flexible, and manageable approach to unitary transform calculation and examines novel concepts in the design, classification, and management of fast algorithms for different transforms in one-, two-, and multidimensional cases.
Because of its portability and platform-independence, Java is the ideal computer programming language to use when working on graph algorithms and other mathematical programming problems.
This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering.
This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering.
Mathematical Foundations of Computer Science introduces students to the discrete mathematics needed later in their Computer Science coursework with theory of computation topics interleaved throughout.
