This course covers a range of design and analysis techniques including greedy methods, divide and conquer, and dynamic programming. It also discusses the maximum flow problem and NP-completeness.
This course covers several concepts in convex optimization, including, elimination, reduction, geometrization, sparsification, acceleration, and decomposition.
This course covers several concepts in convex optimization, including, elimination, reduction, geometrization, sparsification, acceleration, and decomposition.
This course covers a range of design and analysis techniques including greedy methods, divide and conquer, and dynamic programming. It also discusses the maximum flow problem and NP-completeness.
This course covers a range of design and analysis techniques including greedy methods, divide and conquer, and dynamic programming. It also discusses the maximum flow problem and NP-completeness.
