Data Structures and Algorithms

It assumes that each of the n elements is an integer in the range 0 to k, for some integer k.

Here, the interval between probes is increased by adding the successive outputs of a polynomial to the starting value given by the original hash computation.

It is defined as the amount of memory that an algorithm needs.

Here, we recursively chop the list into two sublists of almost equal sizes and when we get list of size one, then start sorted combining of lists the reverse order.

Here every level, except possibly the last, is totally filled, and all nodes are as far left as possible.

It simply tries all possibilities until a satisfactory solution is found.

It is a function that describes the time of an execution of an algorithm based on its input parameters.

Here, the hash functions are describe as h2(key) is not equal to zero and h2 is not equal to h1 where h1 and h2 are first and second hash function.

Comparison sorts can be viewed abstractly in terms of decision trees.

It stores the previous results and uses them to find new ones.

Symbol table is a data structure which is used by the compiler to keep track of scope and binding information about names.

Dynamic memory allocation corresponds to memory allocated via malloc() or operator new[ ].

This method is used in Oracle to establish ordinal positions of objects for comparisons such as < or between and for sorting, etc.

This non-linear data structure is having a hierarchical relationship among its elements called nodes.

This sort technique compares two adjoining values and exchange them if they are not in proper order.