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Java Programming

Write a JAVA program using a simple menu based system to assist you in your investigation of three numerical integration techniques rectangular rule, trapezoidal rule and Simpsons rule

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

project Criteria

The project comprises two questions. Question Q1 is worth 65 and question Q2 is worth 35. 

Computer Algorithms and Modelling 



Q1. 

 An important computation used in Statistics for the normal distribution is the following



P=0.5+1x=ax=be-x22dx

 

Write a JAVA program using a simple menu based system to assist you in your investigation of three numerical integration techniques: rectangular rule, trapezoidal rule and Simpson’s rule for computing ND given above.

 

Analysis of results: This should include a well documented and clearly presented table for the case when a=0, b=1 and show the results using 4, 64, 128, 512 and 1024 strips, obtained by using the three numerical rules given above.

         (3 methods x 2 marks per strip case x 5 strip cases = 3 x 2 x 5 = 30 marks.)

 

Conclusions:  Discuss what you consider to be the most accurate method, the most efficient method and also what is the approximation to P.

 

Report all your answers to 5 decimal places).

 

Deliverables:

Deliverable 1 – the report in PDF format should contain:

 

User documentation guide of how to use the program

Analysis of results (see above for detailed breakdown of what is required)

Conclusions (see above for detailed breakdown of what is required)

 

Deliverable 2 – the well commented JAVA source code

The correctly functioning Java source code uploaded as a zip file

Q2. 

  1. The following code segment performs the multiplication of a scalar (s) with a matrix (a) followed by the addition of another matrix (b) and stores the result in matrix c. Note that each matrix has the same number of rows and columns defined by the variable n.

 

    // use for-i loop to process rows

    for (i = 0, i < n; i++) {

        // use for-j loop to process columns

        for (j = 0; j < n; j++) {

      // solutions are stored into array c

      c[i][j] = s * a[i][j] + b[i][j];

  }

}

 

Determine the computational count in terms of n for the code above and include the loop header cost in the count.               

 

  1. What is the order of complexity of the algorithm in (a) above using the big-O notation. Explain carefully how you determine this.

 

  1. The cost of performing operations is provided in the processor specification as follows:

operation

Time taken (microseconds)

add

1

subtract

1

multiply

2

divide

3

assign

0.5

compare

0.5

 

Using these timings calculate the time taken to execute the code in 2(a) when n=5, 500, 50000, 500000 and 5000000. You should show all working out in each calculation as well as providing the completed table below. Your answers should be in the time unit of seconds:


n

Time taken to execute code in (a) above (seconds)

5

 

500

 

50000

 

500000

 

5000000

 

The project comprises of two questions. Question Q1 is worth 65 and question Q2 is worth 35. 



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