ECE 595ML Lecture 4.2: Introduction to Optimization - Convexity

By Stanley H. Chan

Electrical and Computer Engineering, Purdue University, West Lafayette, IN

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Abstract

Outline:

  • Convexity
    • What is convexity?
    • Convex optimization

References

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Cite this work

Researchers should cite this work as follows:

  • Stanley H. Chan (2020), "ECE 595ML Lecture 4.2: Introduction to Optimization - Convexity," https://nanohub.org/resources/32213.

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Location

WTHR 200, Purdue University, West Lafayette, IN

ECE 595ML Lecture 4.2: Introduction to Optimization - Convexity
  • Lecture 4.2: Intro to Optimization - Convexity 1. Lecture 4.2: Intro to Optimiza… 0
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  • Outline 2. Outline 10.477143810477145
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  • Most Optimization Problems are Not Easy 3. Most Optimization Problems are… 38.071404738071408
    00:00/00:00
  • CVX Demonstration 4. CVX Demonstration 159.92659325992659
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  • Convex Function 5. Convex Function 261.69502836169505
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  • Example: Which one is convex? 6. Example: Which one is convex? 417.88455121788456
    00:00/00:00
  • Verifying Convexity 7. Verifying Convexity 458.05805805805807
    00:00/00:00
  • Tangent Line Condition Illustrated 8. Tangent Line Condition Illustr… 500.06673340006677
    00:00/00:00
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