Question at position 2 About how many steps would be needed when searching for a particular key in a hash map with 1000 nodes?1000150010

Question

Question at position 2 About how many steps would be needed when searching for a particular key in a hash map with 1000 nodes?1000150010

BlackTom AI · Accepted Answer

In this question, we’re asked to estimate how many steps are needed to search for a particular key in a hash map with 1000 nodes.
Option 1: 1000. This would imply a linear search through every element, which is not how a hash map operates on average. Hash maps are designed to access elements in near-constant time, not by scanning all entries sequentially.
Option 2: 1. This aligns with the typical average-case behavior of a well-implemented hash map, where the key is located directly via its hash and a constant-time lookup is achieved. While collisions can occur, they are handled efficiently and do not require scanning all entries in common scenarios.
Option 3: 500. Halving the search to 500 steps suggests a midpoint linear search, which again contradicts the expected constant-time access provided by hashing. It would only occur in a non-hash data structure or in a hash map with degenerate collision handling.
Option 4: 10. A ten-step count would imply a particularly poor distribution or a non-ideal structure, not the typical behavior of a hash map, where lookup should be much closer to a single operation.
Overall, given the standard hash map characteristics, the most accurate estimate among the choices is that a search for a specific key is achieved in about one step, assuming average-case conditions and a properly functioning hash function.

Question at position 2 About how many steps would be needed when searching for a particular key in a hash map with 1000 nodes?1000150010

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Question at position 2 About how many steps would be needed when searching for a particular key in a hash map with 1000 nodes?1000150010

查看解析

登录即可查看完整答案

类似问题

Consider an implementation of a hash table with linear probing where the hash function runs in constant time and the cost of comparison is also constant. What is the best-case time complexity of the __getitem__ method? Consider n is the number of items in the hash table.

Which is TRUE?

What is the best case time complexity of deleting a key from a linear probe table?

HT_Rev_6 A key 48 is to be inserted into a hash table using the hash function h(k)=k mod 10, open addressing, and linear probing for collision handling. Given the current state of the hash table below, where will key 48 be stored?​ ​

HTables_3 Double hashing is a form of open addressing.

HTables_8 During open addressing, if the number of probes exceeds 1, expected run time complexity of the hash table becomes O(____). (number of probes = k, size of table =n)

HMap_1 In the implementation discussed in our lectures, Hash Tables using Linear Probing to resolve collisions increase the likelihood of finding an empty slot if the load factor is less than or equal to:

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希望你的学习变得更简单

Consider an implementation of a hash table with linear probing where the hash function runs in constant time and the cost of comparison is also constant. What is the best-case time complexity of the getitem method? Consider n is the number of items in the hash table.

HT_Rev_6 A key 48 is to be inserted into a hash table using the hash function h(k)=k mod 10, open addressing, and linear probing for collision handling. Given the current state of the hash table below, where will key 48 be stored?