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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.
Attention for Chapter 1: A Historical View of Nonlinear Programming: Traces and Emergence
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