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An algorithm is written in simple English and is not a formal document. An algorithm must:

- be lucid, precise and unambiguous

- give the correct solution in all cases

- eventually end

Also note it is important to use indentation when writing solution algorithm because it helps to differentiate between the different control structures.

1) Finiteness: - an algorithm terminates after a finite numbers of steps. 2) Definiteness: - each step in algorithm is unambiguous. This means that the action specified by the step cannot be interpreted (explain the meaning of) in multiple ways & can be performed without any confusion. 3) Input:- an algorithm accepts zero or more inputs 4) Output:- it produces at least one output. 5) Effectiveness:- it consists of basic instructions that are realizable. This means that the instructions can be performed by using the given inputs in a finite amount of time.

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Why does every algorithm have five characteristics?

Every algorithm is defined by five key characteristics—finiteness, definiteness, input, output, and effectiveness—because these traits ensure clarity and functionality. Finiteness guarantees that the algorithm will eventually terminate, while definiteness specifies that each step is clearly defined. Input and output characteristics stipulate that an algorithm can accept data and produce results, and effectiveness ensures that the steps can be carried out in a practical manner. Together, these characteristics provide a framework for evaluating and implementing algorithms effectively.


What are the characteristics of a good algorithm?

Every algorithm should have the following five characteristics: 1. Input 2. Output 3. Definiteness 4. Effectiveness 5. Termination


How do you explain characteristics of algorithm?

Characteristics of algorithms are: Finiteness: terminates after a finite number of steps Definiteness: rigorously and unambiguously specified Input: valid inputs are clearly specified Output: can be proved to produce the correct output given a valid input Effectiveness: steps are sufficiently simple and basic.


What is algorithm and what are its characteristics?

An "algorithm" is simply a method to solve a certain problem. For example, when you use the standard method you learned in school to write down two numbers, one beneath the other, then add them, you are using an algorithm - a method that is known to give correct results in this particular case.


Algorithm characteristics- input?

The input of an algorithm refers to the data or values that are provided to it for processing. Inputs can vary in type, such as numbers, strings, or more complex data structures, and they can be of different sizes. An effective algorithm should clearly define its input requirements, including the expected format and constraints, to ensure accurate and efficient processing. Additionally, the algorithm's performance may depend on the size and nature of the input, influencing its time and space complexity.

Related Questions

Why does every algorithm have five characteristics?

Every algorithm is defined by five key characteristics—finiteness, definiteness, input, output, and effectiveness—because these traits ensure clarity and functionality. Finiteness guarantees that the algorithm will eventually terminate, while definiteness specifies that each step is clearly defined. Input and output characteristics stipulate that an algorithm can accept data and produce results, and effectiveness ensures that the steps can be carried out in a practical manner. Together, these characteristics provide a framework for evaluating and implementing algorithms effectively.


What are the characteristics of a good algorithm?

Every algorithm should have the following five characteristics: 1. Input 2. Output 3. Definiteness 4. Effectiveness 5. Termination


Characteristics of algorithms?

1. Finiteness 2. Definiteness 3.


How do you explain characteristics of algorithm?

Characteristics of algorithms are: Finiteness: terminates after a finite number of steps Definiteness: rigorously and unambiguously specified Input: valid inputs are clearly specified Output: can be proved to produce the correct output given a valid input Effectiveness: steps are sufficiently simple and basic.


What is algorithm and what are its characteristics?

An "algorithm" is simply a method to solve a certain problem. For example, when you use the standard method you learned in school to write down two numbers, one beneath the other, then add them, you are using an algorithm - a method that is known to give correct results in this particular case.


Algorithm characteristics- input?

The input of an algorithm refers to the data or values that are provided to it for processing. Inputs can vary in type, such as numbers, strings, or more complex data structures, and they can be of different sizes. An effective algorithm should clearly define its input requirements, including the expected format and constraints, to ensure accurate and efficient processing. Additionally, the algorithm's performance may depend on the size and nature of the input, influencing its time and space complexity.


What are the two characteristics of OSPF?

The first is that the protocol is open, which means that its specification is in the public domain. The OSPF specification is published as Request For Comments (RFC) 1247. The second principal characteristic is that OSPF is based on the SPF algorithm, which sometimes is referred to as the Dijkstra algorithm (Answer is from CCNA 3 guide)


What is algorithm to write algorithm to the program to access a pointer variable in structure?

Here is the algorithm of the algorithm to write an algorithm to access a pointer in a variable. Algorithmically.name_of_the_structure dot name_of_the _field,eg:mystruct.pointerfield


Which algorithm is more efficient lamport bakery algorithm or black and white bakery algorithm?

Black and White bakery algorithm is more efficient.


What is complsexity of an algorithm?

Complexity of an algorithm is a measure of how long an algorithm would take to complete given


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By preparing test cases we can test an algorithm. The algorithm is tested with each test case.


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