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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

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Cover of 'Classical and Evolutionary Algorithms in the Optimization of Optical Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Classical algorithms in the optimization of optical systems
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    Chapter 3 Genetic Algorithms
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    Chapter 4 Evolution Strategies
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    Chapter 5 Comparison of optimization algorithms
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    Chapter 6 Ray trace
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    Chapter 7 Aberrations
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    Chapter 8 Damped least squares optimization implementation
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    Chapter 9 Adaptive steady-state genetic algorithm implementation
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    Chapter 10 Two membered evolution strategy ES EVOL implementation
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    Chapter 11 Multimembered evolution strategies ES GRUP and ES REKO implementation
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    Chapter 12 Multimembered evolution strategy ES KORR implementation
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    Chapter 13 The Cooke triplet optimizations
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    Chapter 14 The Petzval objective optimizations
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    Chapter 15 The Double Gauss objective optimizations
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    Chapter 16 Summary and outlook
Attention for Chapter 15: The Double Gauss objective optimizations
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