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Chapter: Problem Solving and Python Programming : Algorithmic Problem Solving

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Problem Solving Techniques

Problem solving is the systematic approach to define the problem and creating number of solutions.

PROBLEM SOLVING

 

Problem solving is the systematic approach to define the problem and creating number of solutions.

The problem solving process starts with the problem specifications and ends with a Correct program.

 

PROBLEM SOLVING TECHNIQUES

Problem solving technique is a set of techniques that helps in providing logic for solving a problem.

 

Problem Solving Techniques:

Problem solving can be expressed in the form of

1.              Algorithms.

2.              Flowcharts.

3.              Pseudo codes.

4.              programs

 

ALGORITHM

 

It is defined as a sequence of instructions that describe a method for solving a problem. In other words it is a step by step procedure for solving a problem.

 

Properties of Algorithms

v   Should be written in simple English

v   Each and every instruction should be precise and unambiguous.

v   Instructions in an algorithm should not be repeated infinitely.

v   Algorithm should conclude after a finite number of steps.

v   Should have an end point

v   Derived results should be obtained only after the algorithm terminates.

 

Qualities of a good algorithm

The following are the primary factors that are often used to judge the quality of the algorithms.

Time To execute a program, the computer system takes some amount of time. The lesser is the time required, the better is the algorithm.

Memory To execute a program, computer system takes some amount of memory space. The lesser is the memory required, the better is the algorithm.

Accuracy Multiple algorithms may provide suitable or correct solutions to a given problem, some of these may provide more accurate results than others, and such algorithms may be suitable.

Example

Write an algorithm to print „Good Morning”

Step 1: Start

Step 2: Print “Good Morning”

Step 3: Stop

 

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