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Explain various steps for analysing an algorithm.
The several steps involved in analysis of an algorithm are:
1. For any algorithm, the first step should be to show that it always returns the desired output for all legal examples of the problem.
2. Second step to examine an algorithm is to verify the amount of resources such as time and storage necessary to implement it. Usually the efficiency or complexity of an algorithm is stated as a function relating the input length to the number of steps (time complexity) or storage locations (space complexity).
Standard Query Operators are executed as extension methods in .NET Framework. These Standard Query Operators can be used to work with any collection of objects that executes the IE
What are the Rules of Timescale directive Rules - 'Timescale directive, like all compiler directives, affects all modules compiled after directive, whether in same fi
Q. Explain Keyboard Input and Video output ? A Keystroke read from keyboard is termed as a console input and a character displayed on the video screen is known as a console out
Explain The Boolean Equations for Logic Circuits? A Boolean equation is the mathematical representation of a logic circuit using standard Boolean terms. All the logic gates (AND,
creating a control flow question for atm system
SHOW THAT AVERAGE NUMBER OF UNIT IN A (M/M/1) QUELING SYTEM IS EQUAL TO P/(1-p). NOTE:P=ROW
Software Development Life Cycle (SDLC):- SDLC (System Development Life Cycle) is a well-defined process by which a system is conceived developed and implemented. In other sense a S
Arithmetic Pipelines The method of pipelining can be applied to a variety of complex and slow arithmetic operations to speed up the processing time. The pipelines used for arit
What is XMS Memory system is divided into 3 main parts. TPA (transient program area), system area and XMS (extended memory system). Type of microprocessor in your computer sign
Takes care structural and behavioural aspect of a software system. Contains software usage, functionality, performance, economic, reuse, and technology constraints.
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