Steven Zeng

Ranch Hand

Posts: 41

posted 15 years ago

Hi, here is a example of ~ operator:

int i = 1;

System.out.println(~i);

the result is -2 .

But I think the binary transform should be like this :

00000000 00000000 00000000 00000001 i

11111111 11111111 11111111 11111110 ~i

Who can tell me what is the real transform in this example?

int i = 1;

System.out.println(~i);

the result is -2 .

But I think the binary transform should be like this :

00000000 00000000 00000000 00000001 i

11111111 11111111 11111111 11111110 ~i

Who can tell me what is the real transform in this example?

SCJP2

Jim Yingst

Wanderer

Sheriff

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Posts: 18671

Steven Zeng

Ranch Hand

Posts: 41

posted 15 years ago

What you are looking for is a thing called "2's Complement" and it follows like this:

If you are going to represent a number using (for example) 8 bits, you can count from

0000 0000 (ie 0) to

1111 1111 ( ie 2^9 - 1 = 511)

This only lets you store positive numbers.

If you 'give up' the first bit and use it as 'sign bit' to represent positive or negative, and store negative numbers as the bitwise-or of the positive number, you can now count from

1000 0000 (-1 * 2^8-1 = -255) to

0111 1111 (1 * 2^8-1 = 255)

This would be fine, but you notice that

1111 1111 = -0

0000 0000 = +0

ie we have 2 representations for '0'

To get around this, we store negative numbers as the bitwise-or of the positive number, then add one to regain that extra 'bit'

Now:

1000 0000 equals -1 * (2^8-1

1111 1111 equals -1 * (0

0000 0000 equals 1 * 0 = 0

0111 1111 equals 1 * (2^8-1) = 255

I hope I got it right, its been a while since I had to do this.

Dave

If you are going to represent a number using (for example) 8 bits, you can count from

0000 0000 (ie 0) to

1111 1111 ( ie 2^9 - 1 = 511)

This only lets you store positive numbers.

If you 'give up' the first bit and use it as 'sign bit' to represent positive or negative, and store negative numbers as the bitwise-or of the positive number, you can now count from

1000 0000 (-1 * 2^8-1 = -255) to

0111 1111 (1 * 2^8-1 = 255)

This would be fine, but you notice that

1111 1111 = -0

0000 0000 = +0

ie we have 2 representations for '0'

To get around this, we store negative numbers as the bitwise-or of the positive number, then add one to regain that extra 'bit'

Now:

1000 0000 equals -1 * (2^8-1

**+1**) = -2561111 1111 equals -1 * (0

**+ 1**) = -10000 0000 equals 1 * 0 = 0

0111 1111 equals 1 * (2^8-1) = 255

I hope I got it right, its been a while since I had to do this.

Dave

posted 15 years ago

and to provide a useful link (and take 3 posts instead of 1) this PDF http://www.teicontrols.com/notes/DigitalSystemsEngEE316/1sAnd2sComplement.pdf

Tells you why it's called 2's Complements and what "1's Complement" is (hint: in the explaination I gave, its the one with 2 zeroes)

OK, I'm done now

Tells you why it's called 2's Complements and what "1's Complement" is (hint: in the explaination I gave, its the one with 2 zeroes)

OK, I'm done now