Programming Language Pragmatics, Fourth Edition
Programming Language Pragmatics, Fourth Edition
4th Edition
ISBN: 9780124104099
Author: Michael L. Scott
Publisher: Elsevier Science
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Chapter 5.3, Problem 16CYU
Program Plan Intro

Addressing instructions:

  • Instruction consists of two parts as operands and opcode.
  • Opcode defines a mnemonic to represent the operation which is to be performed.
  • Operands are the variables on which the operations are performed.
  • Depending on the technique employed to store the operands, instruction formats are categorized into two types. They are as follows.
    • Two address instruction
    • Three address instruction.

Two address instruction:

  • This format uses two registers for computation purposes.
  • In this case, there is often a situation that an address is overwritten.
  • Example: The following example show the two address method. When the registers used R1 and R2.

        R1X;          stores X to R1R2R1+Y;   adds Y to R1R1C;storesZtoR1R1R2*R1;storestheresultofR2*R1intoR1

Three address instruction:

  • This format uses three register to perform the computation. Two registers for storing the operands and the third register for storing the result.
  • Example: If one have to perform the following computation using three address: A+B*C.
  • If 3 registers used for the computation R1, R2, and R3.
  • Then the sequence of operations will be as follows.

                    R1A;          stores A to R1R2B;   storesBinregister R2R3R1+R3;storestheresultofR1+R2intoR3R1C;    stores C in register R3R2R1*R3;    performs the computation of R1*R2 and stores the result in R2.

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Students have asked these similar questions
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.
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