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TOPICS IN NUMERICAL METHODS:
The reason why we chose 41 buckets instead of choosing even 40 will be explained soon.) Let us assume that the employee’s ID number will be used as the identification key work record. Our next task is to improve the hash function of turning these keys into a bucket number. Although job identification “numbers” may also have the form so they are not numbers, they are kept as small patterns, and we can interpret small patterns as numbers.
MTH718 HANDOUTS PDF
MTH718-TOPICS IN NUMERICAL METHODS:
Using this meaning of numbers, we can divide any key by the number of buckets available and record the rest, for us which will be the perfect number in the range from 0 to 40. So we can use the rest. of this sorting system to identify 41 buckets. Hashing the key field value 25X3Z in one of the 41 buckets Using this as our hash function, we continue to create a file by considering each record individually.
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MTH718 HANDOUTS-TOPICS IN NUMERICAL METHODS:
we use our side-by-41 hash function on its key to find the bucket number, and keep the record in that bucket (Figure 122). Later, if we need to retrieve a record, we just need to use our hash function in the record, keys to see the appropriate bucket, and search for that bucket to find the record in question.
MTH718 HANDOUTS PDF-TOPICS IN NUMERICAL METHODS:
Hashing the key field value 25X3Z in one of the 41 buckets Using this as our hash function, we continue to create a file by considering each record individually.MTH718 Handouts PDF. Although job identification “numbers” may also have the form so they are not numbers, they are kept as small patterns, and we can interpret small patterns as numbers.
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