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Engineering Computer Science Concepts Of Programming Languages

To find the reasons that show that a decimal waste memory space. Explanation: Decimal Value: A decimal value is a number expressed in the base-ten numeral system. They are also used in computer programming and data storage. In programming, decimal values are often represented using floating-point representation, which allows for the storage and manipulation of decimal values using binary arithmetic. Decimal values require more memory space as compared to integer values of the same magnitude because they are represented using floating-point numbers. This representation can lead to rounding errors and inaccuracies in calculations. Additionally, floating-point numbers require more memory space to store the additional exponent and mantissa information. A decimal value can waste memory space because it requires more bytes to store compared to an integer value of the same magnitude. In computers, decimal numbers are represented using floating-point numbers, which consist of a sign bit, an exponent, and a mantissa. The exponent and mantissa are stored as binary numbers, which can be imprecise when representing certain decimal numbers. Conclusion: In conclusion, storing decimal values in a computer's memory can require more space than storing integer values of the same magnitude, due to the use of floating-point representation. Additionally, there can be precision issues with storing decimal values using floating-point representation, which can lead to rounding errors and inaccuracies in calculations.

To find the reasons that show that a decimal waste memory space. Explanation: Decimal Value: A decimal value is a number expressed in the base-ten numeral system. They are also used in computer programming and data storage. In programming, decimal values are often represented using floating-point representation, which allows for the storage and manipulation of decimal values using binary arithmetic. Decimal values require more memory space as compared to integer values of the same magnitude because they are represented using floating-point numbers. This representation can lead to rounding errors and inaccuracies in calculations. Additionally, floating-point numbers require more memory space to store the additional exponent and mantissa information. A decimal value can waste memory space because it requires more bytes to store compared to an integer value of the same magnitude. In computers, decimal numbers are represented using floating-point numbers, which consist of a sign bit, an exponent, and a mantissa. The exponent and mantissa are stored as binary numbers, which can be imprecise when representing certain decimal numbers. Conclusion: In conclusion, storing decimal values in a computer's memory can require more space than storing integer values of the same magnitude, due to the use of floating-point representation. Additionally, there can be precision issues with storing decimal values using floating-point representation, which can lead to rounding errors and inaccuracies in calculations.

Concepts Of Programming Languages

Concepts Of Programming Languages

12th Edition

ISBN: 9780134997186

Author: Sebesta, Robert W.

Publisher: Pearson,

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Chapter 6 Solutions

Concepts Of Programming Languages

Ch. 6 - Prob. 1RQ Ch. 6 - Prob. 2RQ Ch. 6 - What are the design issues for character string...Ch. 6 - Prob. 6RQ Ch. 6 - Prob. 7RQ Ch. 6 - Prob. 8RQ Ch. 6 - Prob. 11RQ Ch. 6 - Prob. 2PS Ch. 6 - Look up the definition of strongly typed as given...Ch. 6 - Prob. 20PS

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