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Traces and Emergence of Nonlinear Programming

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Cover of 'Traces and Emergence of Nonlinear Programming'

Table of Contents

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    Book Overview
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    Chapter 1 A Historical View of Nonlinear Programming: Traces and Emergence
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    Chapter 2 A Gradient Method For Approximating Saddle Points and Constrained Maxima
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    Chapter 3 Reduction of Constrained Maxima to Saddle-Point Problems
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    Chapter 4 Constraint Qualifications in Maximization Problems
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    Chapter 5 Normality and Abnormality in the Calculus of Variations
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    Chapter 6 A Theorem of Fritz John in Mathematical Programming
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    Chapter 7 On Conjugate Convex Functions
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    Chapter 8 Programming in Linear Spaces
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    Chapter 9 Extremum Problems with Inequalities as Subsidiary Conditions
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    Chapter 10 Minima of Functions of Several Variables with Inequalities as Side Conditions
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    Chapter 11 Nonlinear Programming
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    Chapter 12 Second Order Conditions for Constrained Minima
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    Chapter 13 An Indirect Sufficiency Proof for the Problem of Lagrange with Differential Inequalities as Added Side Conditions
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    Chapter 14 Lagrange Multipliers Revisited
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    Chapter 15 The Kuhn-Tucker Theorem in Concave Programming
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    Chapter 16 The Problem of Lagrange with Differential Inequalities as Added Side Conditions
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    Chapter 17 On Linear Inequalities
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    Chapter 18 Nonlinear Programming: A Historical View
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    Chapter 19 Recherches Sur La Méthode de Maximis et Minimis.
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Title
Traces and Emergence of Nonlinear Programming
Published by
Springer Basel, December 2013
DOI 10.1007/978-3-0348-0439-4
ISBNs
978-3-03-480438-7, 978-3-03-480439-4
Editors

Giorgi, Giorgio, Kjeldsen, Tinne Hoff

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
China 1 2%
Germany 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 12 21%
Student > Master 11 19%
Student > Bachelor 5 9%
Student > Postgraduate 2 4%
Other 5 9%
Unknown 9 16%
Readers by discipline Count As %
Engineering 15 26%
Computer Science 6 11%
Mathematics 5 9%
Economics, Econometrics and Finance 4 7%
Physics and Astronomy 3 5%
Other 7 12%
Unknown 17 30%