Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications.
Carefully coordinated, reliable, and accurate time synchronization is vital to a wide spectrum of fields-from air and ground traffic control, to buying and selling goods and services, to TV network programming.
Computer arithmetic has become so fundamentally embedded into digital design that many engineers are unaware of the many research advances in the area.
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.
Modern computing relies on future and emergent technologies which have been conceived via interaction between computer science, engineering, chemistry, physics and biology.
Modern computing relies on future and emergent technologies which have been conceived via interaction between computer science, engineering, chemistry, physics and biology.
The Future of Numerical ComputingWritten by one of the foremost experts in high-performance computing and the inventor of Gustafson's Law, The End of Error: Unum Computing explains a new approach to computer arithmetic: the universal number (unum).
Computational Intelligence Assisted Design framework mobilises computational resources, makes use of multiple Computational Intelligence (CI) algorithms and reduces computational costs.
Recursion is one of the most fundamental concepts in computer science and a key programming technique that allows computations to be carried out repeatedly.
Handbook of Discrete and Combinatorial Mathematics provides a comprehensive reference volume for mathematicians, computer scientists, engineers, as well as students and reference librarians.
A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software in Python, with no prior programming experience required.
A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software in Python, with no prior programming experience required.
A computationally oriented comparison of solution algorithms for two stage and jointly chance constrained stochastic linear programming problems, this is the first book to present comparative computational results with several major stochastic programming solution approaches.
This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc.
This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc.
The vast circulations of mobile devices, sensors and data mean that the social world is now defined by a complex interweaving of human and machine agency.
The vast circulations of mobile devices, sensors and data mean that the social world is now defined by a complex interweaving of human and machine agency.
The Brexit vote; the election of Trump; the upsurge of European nationalism; the devolution of the Arab Spring; global violence; Chinese expansionism; disruptive climate change; the riotous instabilities of the world capitalist system.
The Brexit vote; the election of Trump; the upsurge of European nationalism; the devolution of the Arab Spring; global violence; Chinese expansionism; disruptive climate change; the riotous instabilities of the world capitalist system.
Over the past 20 years, the emergence of clone theory, hyperequational theory, commutator theory and tame congruence theory has led to a growth of universal algebra both in richness and in applications, especially in computer science.
Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed.
Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed.
The effectiveness of federated learning in high performance information systems and informatics based solutions for addressing current information support requirements is demonstrated in this book.
Intended as a second course on programming with data structures, this book is based on the notion of an abstract data type which is defined as an abstract mathematical model with a defined set of operations.
This book comprehensively discusses nature inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques.
Artificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision making.
In this book, fascinating autobiographical accounts by leading scholars in a variety of fields and disciplines provide a rich introduction to the art and science of complexity and systems thinking.
In this book, fascinating autobiographical accounts by leading scholars in a variety of fields and disciplines provide a rich introduction to the art and science of complexity and systems thinking.
