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Das Geheimnis des kürzesten Weges: Ein mathematisches Abenteuer

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"Dies ist eine wundervoll lockere EinfA1/4hrung in ein StA1/4ck Mathematik, das mit dem Stichwort "Graphentheorie" nur ungefAhr einzugrenzen ist. "Da haben sich zwei Autoren etwas ganz Originelles ausgedacht. Mittels eines imaginAren Dialogs zwischen einem 15-jAhrigen MAdchen und einem sprechenden Computer wird der Leser in die Grundlagen der mathematischen Modellierung eingefA1/4hrt. Dabei geht es um wirkliche Probleme, die - ausgehend von einer alltAglichen Frage - im Laufe der GesprAche immer mehr in eine mathematisch fassbare Form gebracht werden." (Neue ZA1/4richer Zeitung) "Der Text ist spannend aufgebaut, auch fA1/4r jA1/4ngeres Publikum leicht lesbar geschrieben und er bietet tatsAchlich eine schA1/4lerfreundliche EinfA1/4hrung in die Algorithmik verbunden mit Graphentheorie. (Elemente der Mathematik) "Ein erfreulich erfrischendes Buch A1/4ber Probleme der Mathematik." (Zeitschrift des Bayrischen Philologenverbandes

356 pages, Paperback

First published October 18, 2001

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About the author

Peter Gritzmann

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Profile Image for Qi.
66 reviews
May 23, 2017
Decent book for some not-too-serious math and easy to read.

Roughly, the book is about the fundamentals of graph theory combining mathematical reasoning with computer science ideas. The main goal is to figure out algorithms to determine shortest routes in a graph. Hence, better-known algorithms, as well as ideas, are introduced, the book can be seen as a (very rough) introduction to graph theory.

It is not written as a typical textbook, instead, we are following the story of a 15-year-old girl Ruth who is taught graph theory by a super AI called Vim. That may be seen as a strength by also as a weakness of the book.
It certainly makes the book enjoyable to read and takes away the seriousness of a textbook.
On the other hand, the writing is in times ridiculous and it feels like the authors do not know how 15-year-old girls behave.
As both authors are from Munich, they have included several sights of Munich in most chapters to add some cultural variety.

In summary: This book is for you if you want a quick introduction to graph theory. If you do want a more concise one, though, you should pick up a textbook after this one.
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