Underground Maps And Neural Networks: The Theory Of Graphs
Condition: SECONDHAND
This is a secondhand book. The jacket image is a photograph of the exact copy we have in stock. This image shows the condition of this book. Further condition remarks are below.
Author: Claudi Alsina
Binding: Hardback
Published: NATIONAL GEOGRAPHIC, 2017
Condition:
Book: Good
Jacket: N/A
Pages: Good
Markings: No markings
This academic work presents a rigorous examination of graph theory, illustrating its fundamental principles and diverse applications. It uncovers the intricate connections between abstract mathematical structures and their practical manifestations in areas such as neural networks and complex mapping systems. The text details how these theoretical frameworks provide essential tools for understanding and modeling interconnected data, from subterranean transit routes to the architecture of artificial intelligence. The authoritative voice instructs readers through advanced concepts, making complex ideas accessible while maintaining scholarly depth. This volume serves as an indispensable resource for students and researchers in mathematics, computer science, and engineering, offering profound insights into the power of graphical representations.
Author: Claudi Alsina
Binding: Hardback
Published: NATIONAL GEOGRAPHIC, 2017
Condition:
Book: Good
Jacket: N/A
Pages: Good
Markings: No markings
This academic work presents a rigorous examination of graph theory, illustrating its fundamental principles and diverse applications. It uncovers the intricate connections between abstract mathematical structures and their practical manifestations in areas such as neural networks and complex mapping systems. The text details how these theoretical frameworks provide essential tools for understanding and modeling interconnected data, from subterranean transit routes to the architecture of artificial intelligence. The authoritative voice instructs readers through advanced concepts, making complex ideas accessible while maintaining scholarly depth. This volume serves as an indispensable resource for students and researchers in mathematics, computer science, and engineering, offering profound insights into the power of graphical representations.