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Explain Space Complexity
Space Complexity :- The space complexity of an algorithm is the amount of memory it requires to run to completion. Some of the reasons to study space complexity are: -
There may be various possible solutions with in dissimilar space requirement.
To estimate the size of the largest problem that a program can solve.
Q. Let a binary tree 'T' be in memory. Write a procedure to delete all terminal nodes of the tree. A n s . fun ction to Delete Terminal Nodes from Binary Tree
Define about the class invariant A class invariant may not be true during execution of a public operation though it should be true between executions of public operations. For
There are four data type groups: Integer kepts whole numbers and signed numbers Floating-point Stores real numbers (fractional values). Perfect for storing bank deposit
Define null values. In some cases a particular entity might not have an applicable value for an attribute or if we do not know the value of an attribute for a particular entit
A binary tree is a special tree where each non-leaf node can have atmost two child nodes. Most important types of trees which are used to model yes/no, on/off, higher/lower, i.e.,
write an algorithm for multiplication of two sparse matrices using Linked Lists
Let us assume a sparse matrix from storage view point. Assume that the entire sparse matrix is stored. Then, a significant amount of memory that stores the matrix consists of zeroe
Multilist Representation of graph
code for count and display
This is a unit of which targeted on the emerging data structures. Red- Black trees, Splay trees, AA-trees & Treaps are introduced. The learner must explore the possibilities of app
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