System.out.println(Integer.toBinaryString(2 << 11));
Shifts binary 2(10
) by 11 times to the left. Hence: 1000000000000
System.out.println(Integer.toBinaryString(2 << 22));
Shifts binary 2(10
) by 22 times to the left. Hence : 100000000000000000000000
System.out.println(Integer.toBinaryString(2 << 33));
Now, int is of 4 bytes,hence 32 bits. So when you do shift by 33, it's equivalent to shift by 1. Hence : 100
2 from decimal numbering system in binary is as follows
10
now if you do
2 << 11
it would be , 11 zeros would be padded on the right side
1000000000000
The signed left shift operator "<<" shifts a bit pattern to the left, and the signed right shift operator ">>" shifts a bit pattern to the right. The bit pattern is given by the left-hand operand, and the number of positions to shift by the right-hand operand. The unsigned right shift operator ">>>" shifts a zero into the leftmost position, while the leftmost position after ">>" depends on sign extension [..]
left shifting results in multiplication by 2 (*2) in terms or arithmetic
For example
2 in binary 10
, if you do <<1
that would be 100
which is 4
4 in binary 100
, if you do <<1
that would be 1000
which is 8
Also See
Right and Left shift work on same way here is How Right Shift works; The Right Shift: The right shift operator, >>, shifts all of the bits in a value to the right a specified number of times. Its general form:
value >> num
Here, num specifies the number of positions to right-shift the value in value. That is, the >> moves all of the bits in the specified value to the right the number of bit positions specified by num. The following code fragment shifts the value 32 to the right by two positions, resulting in a being set to 8:
int a = 32;
a = a >> 2; // a now contains 8
When a value has bits that are “shifted off,” those bits are lost. For example, the next code fragment shifts the value 35 to the right two positions, which causes the two low-order bits to be lost, resulting again in a being set to 8.
int a = 35;
a = a >> 2; // a still contains 8
Looking at the same operation in binary shows more clearly how this happens:
00100011 35 >> 2
00001000 8
Each time you shift a value to the right, it divides that value by two—and discards any remainder. You can take advantage of this for high-performance integer division by 2. Of course, you must be sure that you are not shifting any bits off the right end.
When you are shifting right, the top (leftmost) bits exposed by the right shift are filled in with the previous contents of the top bit. This is called sign extension and serves to preserve the sign of negative numbers when you shift them right. For example, –8 >> 1
is –4
, which, in binary, is
11111000 –8 >>1
11111100 –4
It is interesting to note that if you shift –1 right, the result always remains –1, since sign extension keeps bringing in more ones in the high-order bits. Sometimes it is not desirable to sign-extend values when you are shifting them to the right. For example, the following program converts a byte value to its hexadecimal string representation. Notice that the shifted value is masked by ANDing it with 0x0f to discard any sign-extended bits so that the value can be used as an index into the array of hexadecimal characters.
// Masking sign extension.
class HexByte {
static public void main(String args[]) {
char hex[] = {
'0', '1', '2', '3', '4', '5', '6', '7',
'8', '9', 'a', 'b', 'c', 'd', 'e', 'f'
};
byte b = (byte) 0xf1;
System.out.println("b = 0x" + hex[(b >> 4) & 0x0f] + hex[b & 0x0f]);
}
}
Here is the output of this program:
b = 0xf1
I believe this might Help:
System.out.println(Integer.toBinaryString(2 << 0));
System.out.println(Integer.toBinaryString(2 << 1));
System.out.println(Integer.toBinaryString(2 << 2));
System.out.println(Integer.toBinaryString(2 << 3));
System.out.println(Integer.toBinaryString(2 << 4));
System.out.println(Integer.toBinaryString(2 << 5));
Result
10
100
1000
10000
100000
1000000
Edited:
Must Read This (how-do-the-bitwise-shift-operators-work)
I think it would be the following, for example:
[ 2 << 1 ] is => [10 (binary of 2) add 1 zero at the end of the binary string] Hence 10 will be 100 which becomes 4.
Signed left shift uses multiplication... So this could also be calculated as 2 * (2^1) = 4. Another example [2 << 11] = 2 *(2^11) = 4096
[ 4 >> 1 ] is => [100 (binary of 4) remove 1 zero at the end of the binary string] Hence 100 will be 10 which becomes 2.
Signed right shift uses division... So this could also be calculated as 4 / (2^1) = 2 Another example [4096 >> 11] = 4096 / (2^11) = 2
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