Consider inserting the keys 10, 22, 31, 4, 15, 28, 17, 88, 59 into a hash table of length m = 11 using open addressing with the primary hash function h'(k) = k mod m. Illustrate the result of inserting these keys using linear probing, using quadratic probing with c1 = 1 and c2 = 3, and using double hashing with h2(k) = 1 + (k mod (m - 1)).
index | linear probing | quadratic probing | double hashing |
---|---|---|---|
0 | 22 | 22 | 22 |
1 | 88 | ||
2 | 88 | 59 | |
3 | 17 | 17 | |
4 | 4 | 4 | 4 |
5 | 15 | 15 | |
6 | 28 | 28 | 28 |
7 | 17 | 59 | 88 |
8 | 59 | 15 | |
9 | 31 | 31 | 31 |
10 | 10 | 10 | 10 |
Write pseudocode for HASH-DELETE as outlined in the text, and modify HASH-INSERT to handle the special value DELETED.
HASH-DELETE(T, k)
i = 0
repeat
j = h(k, i)
if T[j] == k
temp = T[j]
T[j] = DELETED
return temp
i = i + 1
until T[j] == NIL or i == m
return NIL
HASH-INSERT(T, k)
i = 0
repeat
j = h(k, i)
if T[j] == NIL or T[j] == DELETED
T[j] = k
return j
else i = i + 1
until i == m
error "hash table overflow"
Suppose that we use double hashing to resolve collisions; that is, we use the hash function h(k, i) = (h1(k)+ih2(k)) mod m. Show that if m and h2(k) have greatest common divisor d ≥ 1 for some key k, then an unsuccessful search for key k examines (1/d)th of the hash table before returning to slot h1(k). Thus, when d = 1, so that m and h2(k) are relatively prime, the search may examine the entire hash table. (Hint: See Chapter 31.)
简单了解下,这应该算是费马定理(如果没记错)
假设我们有3和7,3作为generator可以生成阶为6的子群,在这种情况下
3*1 mod 7 = 3
3*2 mod 7 = 6
3*3 mod 7 = 2
3*4 mod 7 = 5
3*5 mod 7 = 1
3*6 mod 7 = 4
3*7 mod 7 = 0
如果两个数字互质,那么一个数字的幂的模可以遍历一圈!也就是3 * n mod 7 = 3 * (n+7) mod 7.
对这个题目来说,如果d = 1,则要检查全部的散列.因为要遍历m个位置.
如果d > 1,那么h2(k)和m同时除d后又互质.可能要遍历m/d个位置.
Consider an open-address hash table with uniform hashing. Give upper bounds on the expected number of probes in an unsuccessful search and on the expected number of probes in a successful search when the load factor is 3/4 and when it is 7/8.
Theorem 11.6. Given an open address hash table with load factor , the expected number of probes in an unsuccessful search is at most , assuming uniform hashing.
Theorem 11.8. Given an open address hash table with load factor , the expected number of probes in a successful search is at most , assuming uniform hashing and assuming that each key in the table is equally likely to be searched for.
Consider an open-address hash table with a load factor α. Find the nonzero value α for which the expected number of probes in an unsuccessful search equals twice the expected number of probes in a successful search. Use the upper bounds given by Theorems 11.6 and 11.8 for these expected numbers of probes.
1/(1-α) = ln(1/(1-α)) * 2/α
解得α = 0.717
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