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Optimization Algorithms

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1.1 Introduction to Optimization and to Me

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1.2 What these Lectures do and do not cover

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3.1 Intro to Gradient and Subgradient Descent

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3.4 Convergence Rates

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3.3 Properties of Smooth and Strongly Convex Functions

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1.3 Some First Examples

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2.5 Optimality Conditions for Convex Optimization

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4.1 Oracle Lower Bounds

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3.2 Smooth and Strongly Convex Functions

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2.6 Optimality Conditions and Projection

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