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Designed as a textbook for graduate courses on algorithms, this book will also serve as a reference for researchers interested in heuristic solutions of discrete... Læs mere
The book provides insights in the decision-making for implementing strategies in various spheres of... Læs mere
Based on the practical experiences of its authors, who collectively have spent several decades teaching software... Læs mere
This book seeks to generalize techniques and experiences in designing and analyzing cryptographic schemes for blockchain. In addition, it covers surveys of research objects, reviews of cryptographic schemes, lectures and methodologies to practice cryptography.
More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art. Basic chapters on algorithmic methods for... Læs mere
The book contains theory and applications of soft computing in engineering, health, social and applied sciences.... Læs mere
This book contains a collection of high-quality papers aimed at tackling... Læs mere
Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business. Recommender Systems: Algorithms... Læs mere
Transfer Learning through Embedding Spaces provides a brief background on transfer learning and then focus on the idea of transferring knowledge through... Læs mere
This text presents the main techniques of algorithm design, namely, divide-and-conquer algorithms, greedy algorithms, dynamic programming algorithms, and backtracking. Graph algorithms are studied in detail, and a careful treatment of the theory of NP-completeness is presented.
Inequality in a Context of Climate Crisis after COVID uses a complex realist approach to examine the crisis of three interconnected problems: economic inequality, climate change, and the COVID-19 pandemic.
This book is for anyone concerned about human and fiscal costs of jails and prisons. It shows how... Læs mere