Midterm #2 Study Guide
CSE 373: Data Structures & Algorithms
Autumn 2011
Midterm Exam #2, Friday, Nov 18, 2011
Exam policies:
- Closed book, closed
notes. No Calculators allowed.
- The exam begins promptly at
2:30 and ends at 3:20.
Topics covered:
- Binary Heaps - Findmin, Deletemin, Insert.
Additional operations of increase, decrease, buildheap.
- D-heaps - Findmin, Deletemin, Insert.
- Disjoint Union/Find -
Dynamic equivalence relations, Up-tree representation, union, find,
weighted union (union by size) and path compression.
- Dictionary ADT
- Hashing -
Properties of good hash functions. Selecting hash table
size. Separate chaining and open addressing. Linear
Probing, Quadratic Probing, & Double Hashing to resolve
collisions. Rehashing.
- The memory hierarchy
- Temporal and spatial
locality. Data structure choice and the memory hierarchy.
- Graphs -
definitions, adjacency list and adjacency matrix representations [Graphs
I lecture, Weiss 9.1]
- Graphs -
topological sort [Graphs II lecture (up through slide 25, material on
graph traversals is not included) , Weiss 9.2]
Sample midterms:
NOTES
·
Topics covered on these exams may not be the exact same
topics covered on our exam; please see the list of topics listed above for
topics covered on our exam.
·
These are provided to help you study and are not meant to be
interpreted as a guarantee of the format of our actual midterm in terms of
length or type of questions.
Midterm II samples: (Note: B-trees, Binomial
Queues, Leftist Heaps and Skew Heaps appear on some sample midterms but will NOT be on our midterm)
Midterm I samples: (some of these might
contain a few relevant questions)
Study suggestions:
- Do concrete problems
from the book and re-work problems from lecture and HW.
- Practice all the
operations on heaps, disjoint sets, hashing with various collision resolution strategies.
- Although the focus
will be on material from lecture that was not covered on midterm #1 up
through topological sort, I will not expect that you have forgotten
material from midterm #1 completely.
For example, I could definitely ask you to compare something to a
data structure covered on midterm #1.
- Be prepared to
describe the running time of the operations on each data structure.
- This material
corresponds to: Chapters: 5 (not 5.6 or 5.7), 6 (not 6.4,
or 6.6-6.9), 8 (not 8.6), 9.1 and 9.2, and the lecture on Memory
Hierarchy/Locality and data structures.