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Recent questions tagged floating-point-representation

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31
GATE previous year
$\text{Someone please explain this question, I am not able to solve it}$ https://gateoverflow.in/87053/gate1989-1-vi
$\text{Someone please explain this question, I am not able to solve it}$https://gateoverflow.in/87053/gate1989-1-vi
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0 votes
1 answer
32
Made easy workbook
Sign extension is a step in a) floating point multiplication b) signed 16 bit integer addition c) arithmetic left shift d) converting a signed integer from one size to another
Sign extension is a step ina) floating point multiplicationb) signed 16 bit integer addition c) arithmetic left shiftd) converting a signed integer from one size to anoth...
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8 votes
2 answers
34
Madeeasy_Subject_Test_digitalLogic
The difference between 201 and next larger double precision number is 2$^P$. If IEEE double precision format is used then the value of P is ______________________
The difference between 201 and next larger double precision number is 2$^P$.If IEEE double precision format is used then the value of P is ______________________
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1 votes
1 answer
36
#Number System
For a floating point representation with 64 bits in the mantissa and $12$ bits in the unbiased exponent, the number of significant digits in decimal and the maximum (positive) value of the exponent in decimal will be _______________________
For a floating point representation with 64 bits in the mantissa and $12$ bits in the unbiased exponent, the number of significant digits in decimal and the maximum (posi...
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1 votes
3 answers
41
IEEE floating Point
In IEEE floationg point representation, the hexadecimal number $0xC0000000$ corresponds to ? $-3.0$ $-1.0$ $-4.0$ $-2.0$
In IEEE floationg point representation, the hexadecimal number $0xC0000000$ corresponds to ?$-3.0$$-1.0$$-4.0$$-2.0$
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0 votes
1 answer
42
Floating Point
ans given= -3.75*10-1
ans given= -3.75*10-1
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5 votes
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43
DL: IEEE 754 Single Precision Range
Can someone please validate if the given range is correct, and we can keep all 0's in Mantissa unlike biased exponent.
Can someone please validate if the given range is correct, and we can keep all 0's in Mantissa unlike biased exponent.
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1 votes
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44
Self doubt
Why floating point in de-normalized normal form has range between : $\pm1\times2^{-149}$ and $\pm(1 - 2 ^{-23})\times2^{-126}$
Why floating point in de-normalized normal form has range between : $\pm1\times2^{-149}$ and $\pm(1 - 2 ^{-23})\times2^{-126}$
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9 votes
2 answers
45
Single Precision
The decimal value of 0.005 in single precision floating point format is __________________
The decimal value of 0.005 in single precision floating point format is __________________
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3 votes
2 answers
47
IEEE representation
Consider the following IEEE-754 single precision format 1 10101010 01010100................0 value represented by above number is _________________________
Consider the following IEEE-754 single precision format11010101001010100................0value represented by above number is _________________________
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1 votes
1 answer
49
Source for learning floating point representation
Source for learning floating point representation
Source for learning floating point representation
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51
floating point representation
Consider a computer system that stores a floating-point numbers with 16-bit mantissa and an 8-bit exponent, each in two’s complement. find The smallest and largest positive values which can be stored in the system.
Consider a computer system that stores a floating-point numbers with 16-bit mantissa and an 8-bit exponent, each in two’s complement. find The smallest and largest posi...
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2 votes
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57
Floating Point Representation Without Normalization
Mantissa is a pure fraction in signed magnitude form .What is the reprentation of decimal number 12.6255*102 12.6255*23 with Normalization and Without Normalization
Mantissa is a pure fraction in signed magnitude form .What is the reprentation of decimal number12.6255*10212.6255*23with Normalization and Without Normalization
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1 votes
1 answer
59
Floating point number
what is the hexadecimal representation of the floating point number (-48.625) in single precision, after rounding off and normalisation
what is the hexadecimal representation of the floating point number (-48.625) in single precision, after rounding off and normalisation
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