Programmable Logic Controllers
Programmable Logic Controllers
5th Edition
ISBN: 9780073373843
Author: Frank D. Petruzella
Publisher: McGraw-Hill Education
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Chapter 3, Problem 9P

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Using a floating-point numbering system:

  • Sometimes it is necessary to adjust the decimal point of a binary number, especially when computing arithmetic and logic operations.
  • This representation is useful to increase or decrease the significant value.
  • Floating point binary representation can also be used to represent negative numbers by simple binary format...

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The assignment is to create a MIPS program that demonstrates that the associative law fails in addition for floating point numbers (single or double precision). You only need to demonstrate it for single precision. Remember the associative law is a + (b + c) = (a + b) + c. The key is to have two of the number large (one positively and one negatively but equal in magnitude) floating point numbers and the third floating point number very small in comparison. ***Please make sure you include comments in every field*** Note: make sure the program operats and doesnt run with errors like: operand is of incorrect type or not formatted
Scenario: In a biased N-bit binary number system with bias B, positive and negative numbers are represented as their value plus the bias B. For example, for 5-bit numbers with a bias of 15, the number 0 is represented as 01111, 1 as 10000, and so forth. Biased number systems are sometimes used in floating point mathematics. Consider a biased 8-bit binary number system with a bias of 12710 Question: What is the representation and value of the most negative number?
Is there a way to efficiently employ decimal data types, and what are the benefits and drawbacks of doing so?
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Computer Science
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Author:Frank D. Petruzella
Publisher:McGraw-Hill Education