Excerpt from Generalized Map Makers Problem<br><br><br><br>About the Publisher<br><br>Forgotten Books publishes hundreds of thousands of rare and classic books.<br><br>This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works. This text has been digitally restored from a historical edition. Some errors may persist, however we consider it worth publishing due to the work's historical value.<BR>The digital edition of all books may be viewed on our website before purchase.
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Da: Forgotten Books, London, Regno Unito
Paperback. Condizione: New. Print on Demand. This book addresses a fundamental challenge in mapmaking: accurately representing curved surfaces in a flat format. While traditional mapmaking focuses on the relatively simple spherical surface of the Earth, the author tackles the much more complex problem of mapping convoluted, non-convex surfaces, such as the human brain. This is no mere academic exercise; it has direct implications for various fields, including computer-aided neuroanatomy, where visualizing the intricate neural maps of the brain is crucial for understanding its functionality. The author introduces a novel numerical solution to this "generalized map-makers problem," which involves optimizing the distances between points on a curved surface and their corresponding points on a flat representation. This is achieved through a variational algorithm that minimizes the "stress" or deviation between the original distance matrix and the flattened representation. This innovative approach offers a practical solution for mapping complex surfaces in a way that preserves the essential metric relationships. The book delves into the technical details of the algorithm, including its implementation and challenges. The author explores the limitations of using only short-range distances for mapping and demonstrates the effectiveness of incorporating longer-range distances. Furthermore, the book presents examples of the algorithm's successful application to mapping the surface of the visual cortex, a particularly complex example. The book's insights contribute significantly to the understanding of how to represent complex three-dimensional surfaces in a flat, two-dimensional format, with practical implications for diverse disciplines, such as computer science and neuroanatomy. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Codice articolo 9781334013768_0
Quantità: Più di 20 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LW-9781334013768
Quantità: 15 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LW-9781334013768
Quantità: 15 disponibili