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 \n\r\r\r\r Programming Lecture 04 Programming Lecture 04 Function Function (Part I): (Part I): Function Function Types and Scopes of V The areas of computational intractability and pseudorandomness (see article by Avi Wigderson, Herbert H. Maass Professor, page 1) have been among the most exciting scientific disciplines in the past d Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. Lecture 2: . Reductions. , . NP-completeness, . Cook-Levin theorem . . . Indian Institute of Science. Recap: Class P and FP. A language . L . ⊆ {0,1}* . is in . P . if. There’s a . Lecture 5:. . Class co-NP and EXP;. . . Diagonalization. . . Indian Institute of Science. Recap: Alternate definition of NP. Definition.. An NTM . M. . accepts. a string . Lecture 9:. Read once certificates;. . NL = co-NL. . . Indian Institute of Science. Recap: PSPACE-completeness. Recall, to define completeness of a complexity class, we need an appropriate notion of a . Lecture 7:. . Relativization. (contd.);. . Space complexity. . . Indian Institute of Science. Recap: Limits of . diagonalization. Like in the proof of . P ≠ EXP. , can we use .