status 20110907(a)

Browsed Chapter 25 to 27,  finished the sink problem in my head : Ex 22-1.6.

Browse reading: 813/1144

Exercises up to 4-4.5

Revisit : 4.2-{3-5}, 4-3.6, 4-4.3 after section 4.5

Checking up to P2.1

Needs write up: 2-3.7 (nice solution using merging), P2.1c, 3-2.4, 3-2.8, P3.1

Exercises checked: 2.1-2, 2.1-3, 2.2-{1,4}, 2.3-{3,7}

Exercises which are finished but not on paper: 1.1-2, 1.2-2, 1.2-3, P1-1, The whole Section 4.4 except 4.4-3, 4.5-{1,3}, P4.4(a-c), P4.6b, 5.1-{1,2}, whole Section 6.1, 6.2-{1,2,4,5,6}, 6.3-1, whole Section 7.1, 7.2-{1-3}, whole Section 7.3 and 7.4.3, 10.1-{1-4,6,7}, 10.2-{1,2,6,7}, 12.1-{1,2,3,4} 12.2-{1,2,3,6}, 12.4-4, P12.4(a), 15-1.1, 15.1-3, 15.3-3, 15.5, 17-1.1, 21-1.1, 21-1.2, 22-1.{1-3,6,7}, 23.1-1 and 23.1-3, A.1-{1,2,3,4,5,7}, C.1-{2,4,5,7,8,9,14}, C.2-{1,2,4,5}, C.3-{1,2,10}, all in D.1. and D.2-2. 

Status 20110902(b)

Finished in my head: 22-1.{1-3,6}

Browse reading: 505/1144

Exercises up to 4-4.5

Revisit : 4.2-{3-5}, 4-3.6, 4-4.3 after section 4.5

Checking up to P2.1

Needs write up: 2-3.7 (nice solution using merging), P2.1c, 3-2.4, 3-2.8, P3.1

Exercises checked: 2.1-2, 2.1-3, 2.2-{1,4}, 2.3-{3,7}

Exercises which are finished but not on paper: 1.1-2, 1.2-2, 1.2-3, P1-1, The whole Section 4.4 except 4.4-3, 4.5-{1,3}, P4.4(a-c), P4.6b, 5.1-{1,2}, whole Section 6.1, 6.2-{1,2,4,5,6}, 6.3-1, whole Section 7.1, 7.2-{1-3}, whole Section 7.3 and 7.4.3, 10.1-{1-4,6,7}, 10.2-{1,2,6,7}, 12.1-{1,2,3,4} 12.2-{1,2,3,6}, 12.4-4, P12.4(a), 15-1.1, 15.1-3, 15.3-3, 15.5, 17-1.1, 21-1.1, 21-1.2, 22-1.{1-3,7}, A.1-{1,2,3,4,5,7}, C.1-{2,4,5,7,8,9,14}, C.2-{1,2,4,5}, C.3-{1,2,10}, all in D.1. and D.2-2. 

Chapter 22 : Elementary Graph Algorithms

I quickly browse this chapter and turns out to be highly useful.  Now I learned the basic of another highly used graph representation : adjacency list.  

I also thought through some problems.   What it bugs me now is that I don't fully grok basic things such as BFS, DFS and topological sort is - I guess that makes sense, when I learn those things, they are all presented in the context of AI or machine learning.  It is hard that those presentations are very fundamental. 

What it fascinates me now is how generic of these methods and what they can achieve - that is way more interesting than AI or machine learning.