sanjana narayanan

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Posts: 142

posted 13 years ago

Hi,

Can anyone give some examples for the follo. 2 pts.

1.A compile-time error occurs if a nonzero floating-point literal is too small, so that, on rounded conversion to its internal representation, it becomes a zero.

2.A compile-time error does not occur if a nonzero floating-point literal has a small value that, on rounded conversion to its internal representation, becomes a nonzero denormalized number?

Eg float f = 2.0f)- can this be an eg for the 2nd point.(not sure..)

-Sanjana

Can anyone give some examples for the follo. 2 pts.

1.A compile-time error occurs if a nonzero floating-point literal is too small, so that, on rounded conversion to its internal representation, it becomes a zero.

2.A compile-time error does not occur if a nonzero floating-point literal has a small value that, on rounded conversion to its internal representation, becomes a nonzero denormalized number?

Eg float f = 2.0f)- can this be an eg for the 2nd point.(not sure..)

-Sanjana

Marlene Miller

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Posts: 1392

posted 13 years ago

float f1 = 0.7e-45f; // too small

float f2 = 0.8e-45f; // okay

A normalized number looks like this, 1.xxxxxxxx * 2^yyy.

The smallest float normalized number == 1.0 * 2^-126.

The internal representation is 0 00000001 00000000000000000000000

Rather than having a gap between 0 and the smallest normalized number, the IEEE standard allows denormalized numbers.

The smallest float denormalized number ==

0.00000000000000000000001 * 2^-126

The internal representation is 0 00000000 00000000000000000000001

You might try to visualize a number line

[ December 18, 2003: Message edited by: Marlene Miller ]

float f2 = 0.8e-45f; // okay

A normalized number looks like this, 1.xxxxxxxx * 2^yyy.

The smallest float normalized number == 1.0 * 2^-126.

The internal representation is 0 00000001 00000000000000000000000

Rather than having a gap between 0 and the smallest normalized number, the IEEE standard allows denormalized numbers.

The smallest float denormalized number ==

0.00000000000000000000001 * 2^-126

The internal representation is 0 00000000 00000000000000000000001

You might try to visualize a number line

[ December 18, 2003: Message edited by: Marlene Miller ]

sanjana narayanan

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Posts: 142

Marlene Miller

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Posts: 1392

posted 13 years ago

The smallest normalized float is

1.000 0000 0000 0000 0000 0000 * 2^-126

The internal 32-bit form is

0 00000001 000 0000 0000 0000 0000 0000

The 1-bit sign field is 0 (positive).

The 8-bit exponent field is 00000001. A value of 1 means 2^-126. (A value of 127 means 2^0, 126 means 2^-1 etc.)

The 23-bit signficand field is 00000000000000000000000. This means 1.0 (an implied 1. before the fraction)

-----

The smallest denormalized float is

0.000 0000 0000 0000 0000 0001 * 2^-126

The internal 32-bit form is

0 00000000 000 0000 0000 0000 0000 0001

The 1-bit sign field is 0 (positive)

The 8-bit exponent field uses the reserved value of 00000000 to denote a denormalized number.

The 23-bit signficand field is 00000000000000000001 This means 0.00000000000000000000001 (an implied 0. before the fraction)

-----

The smallest normalized float

0.00000000000000000000000000000000000001175494350822287507968736

5372222456778186655567720875215087517062784172594547271728515625

The smallest denormalized float

0.00000000000000000000000000000000000000000000140129846432481707

0923729583289916131280261941876515771757068283889791082685860601

48663818836212158203125

(Notice the JLS 3.10.2 says the smallest float literal is 1.40239846e-45.)

----

I don�t know the IEEE rules for rounding. So I don�t know when numbers smaller than 1.401e-45 are rounded down to 0 and when they are rounded up to 1.401e-145.

So I just experimented. This way I discovered 0.7e-45 rounds down to 0 (compiler error) and 0.8e-45 rounds up. All I knew was the numbers you were looking for had to be smaller than 1.401e-45. It is reassuring to see that the rounding split (up or down) occurs about half way between 0 and 1.4

I had this picture in my head.

[ December 20, 2003: Message edited by: Marlene Miller ]

1.000 0000 0000 0000 0000 0000 * 2^-126

The internal 32-bit form is

0 00000001 000 0000 0000 0000 0000 0000

The 1-bit sign field is 0 (positive).

The 8-bit exponent field is 00000001. A value of 1 means 2^-126. (A value of 127 means 2^0, 126 means 2^-1 etc.)

The 23-bit signficand field is 00000000000000000000000. This means 1.0 (an implied 1. before the fraction)

-----

The smallest denormalized float is

0.000 0000 0000 0000 0000 0001 * 2^-126

The internal 32-bit form is

0 00000000 000 0000 0000 0000 0000 0001

The 1-bit sign field is 0 (positive)

The 8-bit exponent field uses the reserved value of 00000000 to denote a denormalized number.

The 23-bit signficand field is 00000000000000000001 This means 0.00000000000000000000001 (an implied 0. before the fraction)

-----

The smallest normalized float

0.00000000000000000000000000000000000001175494350822287507968736

5372222456778186655567720875215087517062784172594547271728515625

The smallest denormalized float

0.00000000000000000000000000000000000000000000140129846432481707

0923729583289916131280261941876515771757068283889791082685860601

48663818836212158203125

(Notice the JLS 3.10.2 says the smallest float literal is 1.40239846e-45.)

----

I don�t know the IEEE rules for rounding. So I don�t know when numbers smaller than 1.401e-45 are rounded down to 0 and when they are rounded up to 1.401e-145.

So I just experimented. This way I discovered 0.7e-45 rounds down to 0 (compiler error) and 0.8e-45 rounds up. All I knew was the numbers you were looking for had to be smaller than 1.401e-45. It is reassuring to see that the rounding split (up or down) occurs about half way between 0 and 1.4

I had this picture in my head.

[ December 20, 2003: Message edited by: Marlene Miller ]

Marlene Miller

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Posts: 1392

posted 13 years ago

Sanjana, I learned about floating point representation from the book Computer Organization and Design, the Hardware/Software Interface by David Paterson and John Hennessy, chapter 4.

The formal description is not difficult to understand. The 3 fields are 1-bit sign, 8-bit exponent, 23-bit significand/fraction. The values of the exponent field 1 to 254 mean 2^-126 to 2^127, 0 is reserved for 0.0 and 255 is reserved for NaN. There is an implied 1. in front of the fraction.

Use Float.intBitsToFloat(i) and Float.floatToIntBits(f) to study the internal representation of some arbitrary float values. But do not use System.out.println to print the base 10 value of floats. Use new BigDecimal(f).

[ December 20, 2003: Message edited by: Marlene Miller ]

let me know how do u arrive at the representation

Sanjana, I learned about floating point representation from the book Computer Organization and Design, the Hardware/Software Interface by David Paterson and John Hennessy, chapter 4.

The formal description is not difficult to understand. The 3 fields are 1-bit sign, 8-bit exponent, 23-bit significand/fraction. The values of the exponent field 1 to 254 mean 2^-126 to 2^127, 0 is reserved for 0.0 and 255 is reserved for NaN. There is an implied 1. in front of the fraction.

Use Float.intBitsToFloat(i) and Float.floatToIntBits(f) to study the internal representation of some arbitrary float values. But do not use System.out.println to print the base 10 value of floats. Use new BigDecimal(f).

[ December 20, 2003: Message edited by: Marlene Miller ]

Marlene Miller

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Posts: 1392

posted 13 years ago

The way I figured out the smallest float,

For a normalized number,

The biggest exponent is 254 or 11111110

the smallest exponent is 1 or 00000001

the exponents 0 and 255 are reserved.

The biggest significand (fraction) is

.111 1111 1111 1111 1111 1111

The smallest signficand (fraction) is

.000 0000 0000 0000 0000 0000

There is an implied 1. before the fraction.

----

For a denormalized number,

The exponent is always 00000000 meaning 2^-126.

The biggest signficand is

.111 1111 1111 1111 1111 1111

The smallest signficand is

.000 0000 0000 0000 0000 0001

There is an implied 0. before the fraction.

----

There will be quiz tomorrow.

How do u know that (0.72-45f) is the smallest no

The way I figured out the smallest float,

For a normalized number,

The biggest exponent is 254 or 11111110

the smallest exponent is 1 or 00000001

the exponents 0 and 255 are reserved.

The biggest significand (fraction) is

.111 1111 1111 1111 1111 1111

The smallest signficand (fraction) is

.000 0000 0000 0000 0000 0000

There is an implied 1. before the fraction.

----

For a denormalized number,

The exponent is always 00000000 meaning 2^-126.

The biggest signficand is

.111 1111 1111 1111 1111 1111

The smallest signficand is

.000 0000 0000 0000 0000 0001

There is an implied 0. before the fraction.

----

There will be quiz tomorrow.

Jim Yingst

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sanjana narayanan

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Marlene Miller

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Posts: 1392

posted 13 years ago

Sanjana, I have a much better answer to your original question. Erase all that other stuff from your mind.

2^-126 is the smallest normalized float.

2^-149 is the smallest denormalized float.

Or as Jim said, the smallest float is Float.MIN_VALUE (2^-149).

Half way between 0.0 and Float.MIN_VALUE is the split. Numbers to the left round to 0.0, causing a compiler error. Numbers to the right round up to Float.MIN_VALUE.

One half of Float.MIN_VALUE is 2^-150.

[ December 21, 2003: Message edited by: Marlene Miller ]

2^-126 is the smallest normalized float.

2^-149 is the smallest denormalized float.

Or as Jim said, the smallest float is Float.MIN_VALUE (2^-149).

Half way between 0.0 and Float.MIN_VALUE is the split. Numbers to the left round to 0.0, causing a compiler error. Numbers to the right round up to Float.MIN_VALUE.

One half of Float.MIN_VALUE is 2^-150.

[ December 21, 2003: Message edited by: Marlene Miller ]