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Difference between array and abstract data types
Arrays aren't abstract data types since their arrangement in the physical memory of a computer is an essential feature of their definition and abstract data types abstract from all details of implementation on a computer. However, we can discuss arrays in a "semi-abstract" fashion which abstracts some implementation details. Definition above abstracts away the details about how elements are stored in contiguous locations (which indeed does vary somewhat among languages). Additionally, arrays are typically types in procedural programming languages, so they are treated such as realizations of abstract data types even though they are really not.
Relation between the time and space complexities of an algorithm The examining of algorithm focuses on time complexity and space complexity. As compared to time analysis, the a
B Tree Unlike a binary-tree, every node of a B-tree may have a variable number of keys and children. The keys are stored in non-decreasing order. Every key has an associated ch
5. Implement a stack (write pseudo-code for STACK-EMPTY, PUSH, and POP) using a singly linked list L. The operations PUSH and POP should still take O(1) time.
The number of leaf nodes in a complete binary tree of depth d is 2 d
disadvantage on duality principal
(1) Sort a list of distinct numbers in ascending order, using the following divide- and-conquer strategy (Quicksort): divide the list of numbers into two lists: one that contains a
A Red-Black Tree (RBT) is a type of Binary Search tree with one extra bit of storage per node, i.e. its color that can either be red or black. Now the nodes can have any of the col
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Q. What is the need of using asymptotic notation in the study of algorithm? Describe the commonly used asymptotic notations and also give their significance.
1. Start 2. Get h 3. If h T=288.15+(h*-0.0065) 4. else if h T=216.65 5. else if h T=216.65+(h*0.001) 6. else if h T=228.65+(h*0.0028) 7. else if h T=270.65 8.
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