McGraw Hill
McGraw Hill
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Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling.
This two-part text introduces set theory and transfinite algebra, emphasizing the axiom of choice and its applications. Self-contained chapters provide unique insight into rarely treated topics, and with more than 140 solved exercises, it will be valuable to advanced undergraduates, graduate students, and lecturers alike.
This two-part text introduces set theory and transfinite algebra, emphasizing the axiom of choice and its applications. Self-contained chapters provide unique insight into rarely treated topics, and with more than 140 solved exercises, it will be valuable to advanced undergraduates, graduate students, and lecturers alike.
