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The text presents emerging real-life topics on mathematical models, machine learning, and... Læs mere
Computational complexity is critical in analysis of algorithms and is important to be able to select algorithms for efficiency and solvability. Algorithm and Design Complexity initiates with discussion of algorithm analysis, time space trade-off, symptotic notations and so forth.
This book is about the simulation and modeling of novel chaotic systems within the frame of... Læs mere
This book is written with a contemporary view on securing all types of software development practices or methodologies with in-depth, practical, and... Læs mere
In this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various partial differential... Læs mere
This reference work examines how human thought processes and emotion can be captured by artificial intelligence (AI) algorithms and code. It provides a theoretical framework and demonstrates how code can be generate on the basis of the framework.
A First Course in Fuzzy Logic, Fourth Edition is an expanded version of the successful third edition. It provides a comprehensive introduction to the theory and applications of fuzzy logic.
Software stability has great promise for promoting software reuse and lifecycle improvement. These innovative concepts produce unique models that are both... Læs mere
This book presents a new, pragmatic approach for understanding the problem domain and in utilizing stable analysis patterns for engineering and modeling stable... Læs mere
The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This... Læs mere
This book provides an overview of the latest research results and activities in industrial embedded AI technologies and applications, based on close cooperation between three large-scale ECSEL JU projects, AI4DI, ANDANTE, and TEMPO.