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Mathematics and War

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Cover of 'Mathematics and War'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Military Work in Mathematics 1914–1945: an Attempt at an International Perspective
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    Chapter 3 The Brains behind the Enigma Code Breaking before the Second World War
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    Chapter 4 On the Defense Work of A. N. Kolmogorov during World War II
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    Chapter 5 Improbable Warriors: Mathematicians Grace Hopper and Mina Rees in World War II
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    Chapter 6 New Mathematical Disciplines and Research in the Wake of World War II
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    Chapter 7 Mathematics and War in Japan
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    Chapter 8 Discovery of the Maximum Principle in Optimal Control
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    Chapter 9 Mickey Flies the Stealth
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    Chapter 10 War Cannot Be Calculated
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    Chapter 11 Warfare Can Be Calculated
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    Chapter 12 Duels of Systems and Forces
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    Chapter 13 On Facts and Fiction of “Information Warfare”
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    Chapter 14 More or Less Exposed Non-Combatants and Civilian Objects under the Conditions of “Modern Warfare”
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    Chapter 15 Niels Bohr’s Political Crusade during World War II
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    Chapter 16 The Military Use of Alan Turing
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    Chapter 17 The Mathematician K. Ogura and the “Greater East Asia War”
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    Chapter 18 Working within the System
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    Chapter 19 Ethics and Military Research
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    Chapter 20 Mathematical Thinking and International Law
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    Chapter 21 Calculated Security? Mathematical Modelling of Conflict and Cooperation
Attention for Chapter 5: Improbable Warriors: Mathematicians Grace Hopper and Mina Rees in World War II
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Chapter title
Improbable Warriors: Mathematicians Grace Hopper and Mina Rees in World War II
Chapter number 5
Book title
Mathematics and War
Published by
Birkhäuser, Basel, January 2003
DOI 10.1007/978-3-0348-8093-0_5
Book ISBNs
978-3-76-431634-1, 978-3-03-488093-0
Authors

Kathleen Williams, Williams, Kathleen

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Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 75%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Economics, Econometrics and Finance 1 25%
Unknown 1 25%