FoundationMath for LLMs2 hours
Implement Optimization
Implement a portfolio-ready notebook experiment that proves you can use Optimization, not just read about it.
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Build brief
You are turning the Optimization module into a concrete artifact. Keep the scope small, make the behavior visible, and leave enough notes that another learner can understand the result.
Requirements
- Use at least two ideas from Optimization.
- Keep the implementation small enough to explain in five minutes.
- Add three test cases or examples that show normal and edge behavior.
- Write a short reflection that explains what broke and how you fixed it.
Deliverables
- A runnable notebook cell sequence for Optimization.
- A short explanation of the math idea in plain language.
- At least one visualization, table, or numerical sanity check.
Project checklist
Source lessons
Notes08-Optimization/01-Convex-Optimization/notes.mdOpenNotes08-Optimization/02-Gradient-Descent/notes.mdOpenNotes08-Optimization/03-Second-Order-Methods/notes.mdOpenNotes08-Optimization/04-Constrained-Optimization/notes.mdOpenNotes08-Optimization/05-Stochastic-Optimization/notes.mdOpenNotes08-Optimization/06-Optimization-Landscape/notes.mdOpen
Milestones and skills
- 01Read the linked source lessons and note the key APIs or formulas.
- 02Sketch the smallest useful version of the notebook experiment.
- 03Build the core behavior before adding polish.
- 04Run the examples, notebook cells, or manual tests.
- 05Write the final explanation and mark the checklist complete.
OptimizationNumerical reasoningNotebook workflowPlanningTestingDebuggingExplanation