What is the difference between >>> and >> operators in Java?
>> is arithmetic shift right, >>> is logical shift right.
In an arithmetic shift, the sign bit is extended to preserve the signedness of the number.
For example: -2 represented in 8 bits would be 11111110 (because the most significant bit has negative weight). Shifting it right one bit using arithmetic shift would give you 11111111, or -1. Logical right shift, however, does not care that the value could possibly represent a signed number; it simply moves everything to the right and fills in from the left with 0s. Shifting our -2 right one bit using logical shift would give 01111111.
>>> is unsigned-shift; it'll insert 0. >> is signed, and will extend the sign bit.
JLS 15.19 Shift Operators
The shift operators include left shift <<, signed right shift >>, and unsigned right shift >>>.
The value of n>>s is n right-shifted s bit positions with sign-extension.
The value of n>>>s is n right-shifted s bit positions with zero-extension.
System.out.println(Integer.toBinaryString(-1));
// prints "11111111111111111111111111111111"
System.out.println(Integer.toBinaryString(-1 >> 16));
// prints "11111111111111111111111111111111"
System.out.println(Integer.toBinaryString(-1 >>> 16));
// prints "1111111111111111"
To make things more clear adding positive counterpart
System.out.println(Integer.toBinaryString(121));
// prints "1111001"
System.out.println(Integer.toBinaryString(121 >> 1));
// prints "111100"
System.out.println(Integer.toBinaryString(121 >>> 1));
// prints "111100"
Since it is positive both signed and unsigned shifts will add 0 to left most bit.
Related questions
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Is shifting bits faster than multiplying and dividing in Java? .NET?
what is c/c++ equivalent way of doing ‘>>>’ as in java (unsigned right shift)
Negative logical shift
Java’s >> versus >>> Operator?
What is the difference between the Java operators >> and >>>?
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What’s the reason high-level languages like C#/Java mask the bit shift count operand?
1 >>> 32 == 1
>>> will always put a 0 in the left most bit, while >> will put a 1 or a 0 depending on what the sign of it is.
They are both right-shift, but >>> is unsigned
From the documentation:
The unsigned right shift operator ">>>" shifts a zero into the leftmost position, while the leftmost position after ">>" depends on sign extension.
The logical right shift (v >>> n) returns a value in which the bits in v have been shifted to the right by n bit positions, and 0's are shifted in from the left side. Consider shifting 8-bit values, written in binary:
01111111 >>> 2 = 00011111
10000000 >>> 2 = 00100000
If we interpret the bits as an unsigned nonnegative integer, the logical right shift has the effect of dividing the number by the corresponding power of 2. However, if the number is in two's-complement representation, logical right shift does not correctly divide negative numbers. For example, the second right shift above shifts 128 to 32 when the bits are interpreted as unsigned numbers. But it shifts -128 to 32 when, as is typical in Java, the bits are interpreted in two's complement.
Therefore, if you are shifting in order to divide by a power of two, you want the arithmetic right shift (v >> n). It returns a value in which the bits in v have been shifted to the right by n bit positions, and copies of the leftmost bit of v are shifted in from the left side:
01111111 >> 2 = 00011111
10000000 >> 2 = 11100000
When the bits are a number in two's-complement representation, arithmetic right shift has the effect of dividing by a power of two. This works because the leftmost bit is the sign bit. Dividing by a power of two must keep the sign the same.
Read more about Bitwise and Bit Shift Operators
>> Signed right shift
>>> Unsigned right shift
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.
In simple words >>> always shifts a zero into the leftmost position whereas >> shifts based on sign of the number i.e. 1 for negative number and 0 for positive number.
For example try with negative as well as positive numbers.
int c = -153;
System.out.printf("%32s%n",Integer.toBinaryString(c >>= 2));
System.out.printf("%32s%n",Integer.toBinaryString(c <<= 2));
System.out.printf("%32s%n",Integer.toBinaryString(c >>>= 2));
System.out.println(Integer.toBinaryString(c <<= 2));
System.out.println();
c = 153;
System.out.printf("%32s%n",Integer.toBinaryString(c >>= 2));
System.out.printf("%32s%n",Integer.toBinaryString(c <<= 2));
System.out.printf("%32s%n",Integer.toBinaryString(c >>>= 2));
System.out.printf("%32s%n",Integer.toBinaryString(c <<= 2));
output:
11111111111111111111111111011001
11111111111111111111111101100100
111111111111111111111111011001
11111111111111111111111101100100
100110
10011000
100110
10011000
The right shift logical operator (>>> N) shifts bits to the right by N positions, discarding the sign bit and padding the N left-most bits with 0's. For example:
-1 (in 32-bit): 11111111111111111111111111111111
after a >>> 1 operation becomes:
2147483647: 01111111111111111111111111111111
The right shift arithmetic operator (>> N) also shifts bits to the right by N positions, but preserves the sign bit and pads the N left-most bits with 1's. For example:
-2 (in 32-bit): 11111111111111111111111111111110
after a >> 1 operation becomes:
-1: 11111111111111111111111111111111
>> Signed right shift
>>> Unsigned right shift
Example:-
byte x, y; x=10; y=-10;
SOP("Bitwise Left Shift: x<<2 = "+(x<<2));
SOP("Bitwise Right Shift: x>>2 = "+(x>>2));
SOP("Bitwise Zero Fill Right Shift: x>>>2 = "+(x>>>2));
SOP("Bitwise Zero Fill Right Shift: y>>>2 = "+(y>>>2));
output would be :-
Bitwise Left Shift: x<<2 = 40
Bitwise Right Shift: x>>2 = 2
Bitwise Zero Fill Right Shift: x>>>2 = 2
Bitwise Zero Fill Right Shift: y>>>2 = 1073741821
>>(signed) will give u different result for 8 >> 2, -8 >> 2.
right shift of 8
8 = 1000 (In Binary)
perform 2 bit right shift
8 >> 2:
1000 >> 2 = 0010 (equivalent to 2)
right shift of -8
8 = 1000 (In Binary)
1's complement = 0111
2's complement:
0111 + 1 = 1000
Signed bit = 1
perform 2 bit right shift (on 2's co result)
8 >> 2:
1000 >> 2 = 1110 (equivalent to -2)
>>(unsigned) will give u same result for 8 >>> 2, -8 >>> 2.
unsigned right shift of 8
8 = 1000
8 >>> 2 = 0010
unsigned right shift of -8
-8 = 1000
-8 >>> 2 = 0010
Related
I don't understand why there's a difference between this code:
byte b = (byte) (0xff >> 1);
(so now b = 01111111),
and this code:
byte b = (byte) 0xff;
b >>= 1;
(but now b = 11111111).
Thanks in advance for your help!
In the first code, (0xff >> 1) is 255 >> 1, which is 127. That is calculated with ints and then you cast it to a byte. 127 as a byte is 01111111 bin.
In the second code, you start with (byte) 0xff, which is 11111111 bin, which is the two's complement representation of -1 in 8 bits. So (byte) 0xff is -1.
When you perform shifting, the byte value -1 is promoted to the int value -1. That's 11111111 11111111 11111111 11111111 bin.
Shifting it right one place with the arithmetic right shift operator, (-1) >> 1 gives you 11111111 11111111 11111111 11111111 again, because the >> operator on a negative number moves the bits to the right and fills in the left with ones instead of zeroes.
Then, since you're using >>=, the result is cast back to a byte to be stored in b. That only retains the last 8 bits, which are 11111111.
Alternatively, if you used the logical right shift operator, (-1) >>> 1 would give you 01111111 11111111 11111111 11111111 in binary (a zero followed by 31 ones). Since the last 8 bits are the same, this would still give you 11111111 when it is cast back to a byte.
This question already has answers here:
What are bitwise shift (bit-shift) operators and how do they work?
(10 answers)
Closed 4 years ago.
I am trying to understand the shift operators and couldn't get much.
When I tried to execute the below code
System.out.println(Integer.toBinaryString(2 << 11));
System.out.println(Integer.toBinaryString(2 << 22));
System.out.println(Integer.toBinaryString(2 << 33));
System.out.println(Integer.toBinaryString(2 << 44));
System.out.println(Integer.toBinaryString(2 << 55));
I get the below
1000000000000
100000000000000000000000
100
10000000000000
1000000000000000000000000
Could somebody please explain?
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
absolute-beginners-guide-to-bit-shifting
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:
Signed left shift
[ 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
Signed right shift
[ 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
It will shift the bits by padding that many 0's.
For ex,
binary 10 which is digit 2 left shift by 2 is 1000 which is digit 8
binary 10 which is digit 2 left shift by 3 is 10000 which is digit 16
Signed left shift
Logically
Simple if 1<<11 it will tends to 2048 and 2<<11 will give 4096
In java programming
int a = 2 << 11;
// it will result in 4096
2<<11 = 2*(2^11) = 4096
The shift can be implement with data types (char, int and long int). The float and double data connot be shifted.
value= value >> steps // Right shift, signed data.
value= value << steps // Left shift, signed data.
The typical usage of shifting a variable and assigning back to the variable can be
rewritten with shorthand operators <<=, >>=, or >>>=, also known in the spec as Compound Assignment Operators.
For example,
i >>= 2
produces the same result as
i = i >> 2
It's add modulo 2^512. Could you explain me why we doing here >>8 and then &oxFF?
I know i'm bad in math.
int AddModulo512(int []a, int []b)
{
int i = 0, t = 0;
int [] result = new int [a.length];
for(i = 63; i >= 0; i--)
{
t = (a[i]) + (int) (b[i]) + (t >> 8);
result[i] = (t & 0xFF); //?
}
return result;
}
The mathematical effect of a bitwise shift right (>>) on an integer is to divide by two (truncating any remainder). By shifting right 8 times, you divide by 2^8, or 256.
The bitwise & with 0xFF means that the result will be limited to the first byte, or a range of 0-255.
Not sure why it references modulo 512 when it actually divides by 256.
It looks like you have 64 ints in each array, but your math is modulo 2^512. 512 divided by 64 is 8, so you are only using the least significant 8 bits in each int.
Here, t is used to store an intermediate result that may be more than 8 bits long.
In the first loop, t is 0, so it doesn't figure in the addition in the first statement. There's nothing to carry yet. But the addition may result in a value that needs more than 8 bits to store. So, the second line masks out the least significant 8 bits to store in the current result array. The result is left intact to the next loop.
What does the previous value of t do in the next iteration? It functions as a carry in the addition. Bit-shifting it to the right 8 positions makes any bits beyond 8 in the previous loop's result into a carry into the current position.
Example, with just 2-element arrays, to illustrate the carrying:
[1, 255] + [1, 255]
First loop:
t = 255 + 255 + (0) = 510; // 1 11111110
result[i] = 510 & 0xFF = 254; // 11111110
The & 0xFF here takes only the least significant 8 bits. In the analogy with normal math, 9 + 9 = 18, but in an addition problem with many digits, we say "8 carry the 1". The bitmask here performs the same function as extracting the "8" out of 18.
Second loop:
// 1 11111110 >> 8 yields 0 00000001
t = 1 + 1 + (510 >> 8) = 1 + 1 + 1 = 3; // The 1 from above is carried here.
result[i] = 3 & 0xFF = 3;
The >> 8 extracts the possible carry amount. In the analogy with normal math, 9 + 9 = 18, but in an addition problem with many digits, we say "8 carry the 1". The bit shift here performs the same function as extracting the "1" out of 18.
The result is [3, 254].
Notice how any carry leftover from the last iteration (i == 0) is ignored. This implements the modulo 2^512. Any carryover from the last iteration represents 2^512 and is ignored.
>> is a bitwise shift.
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.
& is a bitwise and
The bitwise & operator performs a bitwise AND operation.
https://docs.oracle.com/javase/tutorial/java/nutsandbolts/op3.html
http://www.tutorialspoint.com/java/java_bitwise_operators_examples.htm
>> is the bitshift operator
0xFF is the hexadecimal literal for 255.
I think your question misses a very important part, the data format, i.e. how data are stored in a[] and b[]. To solve this question, I make some assumptions:
Since it's modulo arithmetic, a, b <= 2^512. Thus, a and b have 512 bits.
Since a and b have 64 elements, only 8 right-most bits of each elements are used. In other words, a[i], b[i] <= 256.
Then, what remains is very straightforward. Just consider each a[i] and b[i] as a digit (each digit is 8-bit) in a base 2^512 addition and then perform addition by adding digit-by-digit from right-to-left.
t is the carry variable which stores the value (with carry) of the addition at the last digit. t>>8 throws a way the right-most 8 bits that has been used for the last addition which is used as carry for the current addition. (t & 0xFF) gets the right-most 8 bits of t which is used for the current digit.
Since it's modulo addition, the final carry is thrown away.
The JLS 15.19 describes the formula for >>> operator.
The value of n >>> s is n right-shifted s bit positions with
zero-extension, where:
If n is positive, then the result is the same as that of n >> s.
If n is negative and the type of the left-hand operand is int, then
the result is equal to that of the expression (n >> s) + (2 << ~s).
If n is negative and the type of the left-hand operand is long, then
the result is equal to that of the expression (n >> s) + (2L << ~s).
Why does n >>> s = (n >> s) + (2 << ~s), where ~s = 31 - s for int and ~s = 63 - s for long?
If n is negative it means that the sign bit is set.
>>> s means shift s places to the right introducing zeros into the vacated slots.
>> s means shift s places to the right introducing copies of the sign bit into the vacated slots.
E.g.
10111110000011111000001111100000 >>> 3 == 00010111110000011111000001111100
10111110000011111000001111100000 >> 3 == 11110111110000011111000001111100
Obviously if n is not negative, n >> s and n >>> s are the same. If n is negative, the difference will consist of s ones at the left followed by all zeros.
In other words:
(n >>> s) + X == n >> s (*)
where X consists of s ones followed by 32 - s zeros.
Because there are 32 - s zeros in X, the right-most one in X occurs in the position of the one in 1 << (32 - s), which is equal to 2 << (31 - s), which is the same as 2 << ~s (because ~s == -1 - s and shift amounts work modulo 32 for ints).
Now what happens when you add 2 << ~s to X? You get zero! Let's demonstrate this in the case s == 7. Notice that the the carry disappears off the left.
11111110000000000000000000000000
+ 00000010000000000000000000000000
________________________________
00000000000000000000000000000000
It follows that -X == 2 << ~s. Therefore adding -X to both sides of (*) we get
n >>> s == (n >> s) + (2 << ~s)
For long it's exactly the same, except that shift amounts are done modulo 64, because longs have 64 bits.
Here is some additional context that will help you understand pbabcdefp's answer if you don't already know the basics he assumes:
To understand bitwise operators you must think about numbers as strings of binary digits, eg. 20 = 00010100 and -4 = 11111100 (For the sake of clarity and not having to write so many digits I will be writing all binary numbers as bytes; ints are the same but four times as long). If you are unfamiliar with binary and binary operations, you can read more here. Note how the first digit is special: It makes numbers negative, as if it had a place value (remember elementary math, the ones/tens/hundreds places?) of the most negative number possible, so Byte.MIN_VALUE = -128 = 1000000, and setting any other bit to 1 always increases the number. To easily read a negative number such as 11110011, know that -1 = 11111111, then read the 0s as if they were 1s in a positive number, then that number is how far away you are from -1. So 11110011 = -1 - 00001100 = -1 - 12 = -13.
Also understand that ~s is bitwise NOT: It takes all the digits and flips them, this is actually equivalent to ~s = -1 - s. Eg ~5 (00000101) is -6 (11111010). Observe how my suggested method for reading negative binary numbers is simply a trick to be able to read the bitwise NOT of the number rather than the number itself, which is easier for negative numbers close to zero because those numbers have fewer 0s than 1s.
This question already has answers here:
What are bitwise shift (bit-shift) operators and how do they work?
(10 answers)
Closed 4 years ago.
I am trying to understand the shift operators and couldn't get much.
When I tried to execute the below code
System.out.println(Integer.toBinaryString(2 << 11));
System.out.println(Integer.toBinaryString(2 << 22));
System.out.println(Integer.toBinaryString(2 << 33));
System.out.println(Integer.toBinaryString(2 << 44));
System.out.println(Integer.toBinaryString(2 << 55));
I get the below
1000000000000
100000000000000000000000
100
10000000000000
1000000000000000000000000
Could somebody please explain?
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
absolute-beginners-guide-to-bit-shifting
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:
Signed left shift
[ 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
Signed right shift
[ 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
It will shift the bits by padding that many 0's.
For ex,
binary 10 which is digit 2 left shift by 2 is 1000 which is digit 8
binary 10 which is digit 2 left shift by 3 is 10000 which is digit 16
Signed left shift
Logically
Simple if 1<<11 it will tends to 2048 and 2<<11 will give 4096
In java programming
int a = 2 << 11;
// it will result in 4096
2<<11 = 2*(2^11) = 4096
The shift can be implement with data types (char, int and long int). The float and double data connot be shifted.
value= value >> steps // Right shift, signed data.
value= value << steps // Left shift, signed data.
The typical usage of shifting a variable and assigning back to the variable can be
rewritten with shorthand operators <<=, >>=, or >>>=, also known in the spec as Compound Assignment Operators.
For example,
i >>= 2
produces the same result as
i = i >> 2