Java: An Introduction to Problem Solving and Programming (8th Edition)
Java: An Introduction to Problem Solving and Programming (8th Edition)
8th Edition
ISBN: 9780134462035
Author: Walter Savitch
Publisher: PEARSON
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Chapter 9.1, Problem 7STQ

Explanation of Solution

“throw” statement:

  • • The keyword “throw” is used to throw an exception from the program. It is possible to throw either checked or unchecked exception.
  • • When an exception is thrown using “throw” keyword, the “try” block ends and the statements inside that block will not get executed. The control directly goes to the subsequent “catch” block whose parameter matches the exception object.

Example program:

//Main Class

class Main

{

    //Main method

    public static void main(String[] args)

    {

/*A variable is declared and a value is assigned*/

        int value = 9;

        //Try block

        try

        {

            //Check if value is greater than 30

            if(value < 10)

                //Throw an exception

throw new Exception("Value is lesser");

            //Print the message

System...

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Students have asked these similar questions
[5 marks] Give a recursive definition for the language anb2n where n = 1, 2, 3, ... over the alphabet Ó={a, b}. 2) [12 marks] Consider the following languages over the alphabet ƒ={a ,b}, (i) The language of all words that begin and end an a (ii) The language where every a in a word is immediately followed by at least one b. (a) Express each as a Regular Expression (b) Draw an FA for each language (c) For Language (i), draw a TG using at most 3 states (d) For Language (ii), construct a CFG.
Question 1 Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule. Question 2 Construct a frequency polygon density estimate for the sample in Question 1, using bin width determined by Sturges’ Rule.
Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule.

Chapter 9 Solutions

Java: An Introduction to Problem Solving and Programming (8th Edition)

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