Theoretical / proof-based
Algorithms · Undergraduate · CS / Programming
Topics
Proofs and complexity
- Correctness proofs for iterative and recursive algorithms
- Loop invariants and termination arguments
- Reductions and NP-completeness proofs (intro)
- Amortized analysis: aggregate and potential methods (intro)
- Randomized algorithms: expected runtime (intro)
Advanced graph and optimization
- Matching and bipartite graphs (intro)
- Approximation algorithms and ratio proofs (intro)
- Linear programming formulation of combinatorial problems (intro)
- Parametric search and binary search on answer (intro)
- Problem-solving strategies for proof-based exams
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$1,162 · Algorithms · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.