- What are the 2 types of algorithm?
- What are the steps of algorithm?
- What are the characteristics of algorithm 6 points?
- What are the characteristics of good algorithm?
- Which of the following is not characteristic of good algorithm?
- What are the important categories of algorithm?
- How do you make a good algorithm?
- What does Big O notation mean?
- What are the basic algorithms?
- What is algorithm and its characteristics?
- What are the 5 properties of algorithm?
- What are types of algorithms?

## What are the 2 types of algorithm?

Well there are many types of algorithm but the most fundamental types of algorithm are:Recursive algorithms.Dynamic programming algorithm.Backtracking algorithm.Divide and conquer algorithm.Greedy algorithm.Brute Force algorithm.Randomized algorithm..

## What are the steps of algorithm?

Step 5: Review the algorithm.Step 1: Obtain a description of the problem. This step is much more difficult than it appears. … Step 2: Analyze the problem. … Step 3: Develop a high-level algorithm. … Step 4: Refine the algorithm by adding more detail. … Step 5: Review the algorithm.

## What are the characteristics of algorithm 6 points?

Let us see these characteristics one by one.1)Input specified. … 2)Output specified. … 3)Definiteness. … 4)Effectiveness. … 5)Finiteness. … 6)Independent. … References:

## What are the characteristics of good algorithm?

The characteristics of a good algorithm are:Precision – the steps are precisely stated(defined).Uniqueness – results of each step are uniquely definedand only depend on the input and the result of the precedingsteps.Finiteness – the algorithm stops after a finite number ofinstructions are executed.Input – the algorithm receives input.More items…

## Which of the following is not characteristic of good algorithm?

The algorithm does not stop in a finite number of times. The algorithm does not display the output. The algorithm obtains the input but does not apply it. The algorithm does not precisely state the steps of execution.

## What are the important categories of algorithm?

Types of AlgorithmRecursive Algorithm. This is one of the most interesting Algorithms as it calls itself with a smaller value as inputs which it gets after solving for the current inputs. … Divide and Conquer Algorithm. … Dynamic Programming Algorithm. … Greedy Algorithm. … Brute Force Algorithm. … Backtracking Algorithm.

## How do you make a good algorithm?

A good algorithm should produce the correct outputs for any set of legal inputs. A good algorithm should execute efficiently with the fewest number of steps as possible. A good algorithm should be designed in such a way that others will be able to understand it and modify it to specify solutions to additional problems.

## What does Big O notation mean?

Big O notation is a mathematical notation that describes the limiting behavior of a function when the argument tends towards a particular value or infinity. … A description of a function in terms of big O notation usually only provides an upper bound on the growth rate of the function.

## What are the basic algorithms?

7 algorithms and data structures every programmer must knowSort Algorithms. Sorting is the most heavily studied concept in Computer Science. … Search Algorithms. Binary Search (in linear data structures) … Hashing. … Dynamic Programming. … Exponentiation by squaring. … String Matching and Parsing. … Primality Testing Algorithms.

## What is algorithm and its characteristics?

Algorithm is a step by step procedure, which defines a set of instructions to be executed in certain order to get the desired output. … Output − An algorithm should have 1 or more well-defined outputs, and should match the desired output. Finiteness − Algorithms must terminate after a finite number of steps.

## What are the 5 properties of algorithm?

An algorithm must have five properties:Input specified.Output specified.Definiteness.Effectiveness.Finiteness.

## What are types of algorithms?

Algorithm types we will consider include:Simple recursive algorithms.Backtracking algorithms.Divide and conquer algorithms.Dynamic programming algorithms.Greedy algorithms.Branch and bound algorithms.Brute force algorithms.Randomized algorithms.