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A Guide to the Classification Theorem for Compact Surfaces (Geometry and Computing)

A Guide to the Classification Theorem for Compact Surfaces (Geometry and Computing)

A Guide to the Classification Theorem for Compact Surfaces (Geometry and
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A Guide to the Classification Theorem for Compact Surfaces (Geometry and Computing) Papeback -

by Jean Gallier; Dianna Xu

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Springer , pp. 178 . Papeback. New.
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Details

  • Title A Guide to the Classification Theorem for Compact Surfaces (Geometry and Computing)
  • Author Jean Gallier; Dianna Xu
  • Binding Papeback
  • Condition New
  • Pages 178
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date pp. 178
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 6374958291
  • ISBN 9783642437106 / 3642437109
  • Weight 0.61 lbs (0.28 kg)
  • Dimensions 9.21 x 6.14 x 0.41 in (23.39 x 15.60 x 1.04 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Mathematics
  • Dewey Decimal Code 514
  • Quantity available 4

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Reader reviews for A Guide to the Classification Theorem for Compact Surfaces (Geometry and Computing)

From the rear cover

This welcome boon for students of algebraic topology cuts a much-needed central path between other texts whose treatment of the classification theorem for compact surfaces is either too formalized and complex for those without detailed background knowledge, or too informal to afford students a comprehensive insight into the subject. Its dedicated, student-centred approach details a near-complete proof of this theorem, widely admired for its efficacy and formal beauty. The authors present the technical tools needed to deploy the method effectively as well as demonstrating their use in a clearly structured, worked example.

Ideal for students whose mastery of algebraic topology may be a work-in-progress, the text introduces key notions such as fundamental groups, homology groups, and the Euler-Poincar characteristic. These prerequisites are the subject of detailed appendices that enable focused, discrete learning where it is required, without interrupting the carefully planned structure of the core exposition. Gently guiding readers through the principles, theory, and applications of the classification theorem, the authors aim to foster genuine confidence in its use and in so doing encourage readers to move on to a deeper exploration of the versatile and valuable techniques available in algebraic topology.

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