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What is a binary tree?
A binary tree 'T' is described as
A finite set of elements, known as nodes, such that: either (i) or (ii) happens:
(i) T is empty (known as the 'null tree' or 'empty tree')
(ii) T having a distinguished node R, known as the 'root' of T and the remaining nodes of 'T' form an ordered pair of the disjoint binary tree Tl and T2.
If 'T' having a root 'R' then the two trees Tl and T2 are known as, the 'left' and 'right' sub trees of R, respectively.
Define memory access time? The time needed to access one word is known as the memory access time. Or It is the time that elapses among the initiation of an operation and the co
ALE-> Address latch enable...In the case of microcontroller (8051)& microprocessor 8085 the data line and low order 8 bit address lines are multiplexed. In order to getting address
The "turn-around" time of a user job is the? Ans. Total time taken to execute the job is called "turn around" time.
Intel's 8086 was the first 32-bit processor, and as the company had to backward-support the 8086. All the modern Intel-based processors will run in the Enhanced mode, capable of sw
Let most segment of a name in DNS represents? Lest Most segment of a name in DNS shows: Individual computer.
Q. Convention used to represent micro-operations? The convention used to represent micro-operations is: 1. Computer register names are designated by capital letters (someti
What are the methods for handling deadlocks? The deadlock problem can be dealt with in one of the three ways: a. Use a protocol to prevent or avoid deadlocks, make sure th
1. Start to make the verification point. 2. In the confirmation Point Name dialog box, select Apply wait state to confirmation point. 3. Type values for the following option
Illustrated three stages of data mining process? Stage 1: Exploration: This stage generally starts along with data preparation that may involve cleaning data, selecting subse
Question 1: Explain in detail the characteristics of the following artificial neural networks. (a) Recurrent Neural Networks. (b) Self-organising Mapping Neural Networks.
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