 Overflow ConditionBinary ArithmeticAdding Unsigned NumbersOverflow Detection Circuit for Unsigned AdditionAdding Signed NumbersThe Full Adder Truth TableAdding the Sign BitsThe Overfow OutputSigned Numbers AdditionSigned Numbers Addition, Cont.Signed Numbers Addition, Cont.Signed Numbers Addition, Cont.Signed Numbers Addition, Cont.Overflow Detection Circuit for 2’s Complement AdditionMisconceptions about Overflow
1. Overflow Condition
Arithmetic operations have a potential to run into a condition known as overflow. Overflow occurs with respect to the size of the data type that must accommodate the result. Overflow indicates that the result was too large or too small to fit in the original data type. When two signed 2’s complement numbers are added, overflow is detected if:
 both operands are positive and the result is negative, or both operands are negative and the result is positive.
When two unsigned numbers are added, overflow occurrs if
there is a carry out of the leftmost bit.
2. Binary Arithmetic
Computers don’t know the difference between signed and unsigned binary numbers. This is a good thing, because it makes logic circuits fast. This is also a bad thing, because distinguishing between signed and unsigned is our responsibility. The distinction is very important when detecting an overflow after addition or subtraction. Correct approach to detect the overflow is to consider two separate cases:
 Overflow when adding unsigned numbers.
 Overflow when adding signed numbers.
3. Adding Unsigned Numbers
 Let’s first solve the problem for addition of onebit quntities:
0 + 0 = 0 0 + 1 = 1 1 + 0 = 1 1 + 1 = 10
The last line indicates that we have a carry output. That is, onebit quantity cannot accommodate (1 + 1). Therefore, larger data type is required for (1 + 1) to succeed. When multibit unsigned quantities are added, overflow occurrs if there is a carry out from the leftmost (most significant) bit.
4. Overflow Detection Circuit for Unsigned Addition
Overflow detection circuit for unsigned binary addition:
5. Adding Signed Numbers
Consider overflow detection when adding two onebit signed quntities. Although one bit is required to represent the data, another bit has to represent the sign. Therefore, twobit data type is required:

Recall that to represent 2’s complement negative number, we must

6. The Full Adder Truth Table
Recall the truth table for the 2’s complement full adder logic:

The truth table includes five columns with three inputs and two outputs.

7. Adding the Sign Bits

The full adder knows nothing about the difference between signed and unsigned numbers. In 2’s complement binary representation, the sign bit is simply the leftmost, or most significant, bit of the data type. The full adder circuit will be adding the sign bit column just as any other bit. 
8. The Overfow Output

Full adder truth table for the sign bit can be extended to include new output which indicates if overfow condition has occured. Our task is to populate the OVERFLOW column with corresponding values. 
9. Signed Numbers Addition
Twobit signed data type:

Notice that when operands have opposite signs, their sum will never overflow:
1 + 2 = 1 1 + 1 = 0 Therefore, overflow can only occur when the operands have the same sign: 1 + 1 = 2 2 + 2 = 4 2 + 1 = 3 None of the results { 2, 4, 3 } can fit into the twobit signed data type. 
10. Signed Numbers Addition, Cont.

When operands have opposite signs, their sum will never overflow. 
11. Signed Numbers Addition, Cont.

There is no overflow, if: both operands are positive and the sum is positive. both operands are negative and the sum is negative. 
12. Signed Numbers Addition, Cont.

When two signed 2’s complement numbers are added, overflow is detected if:

13. Signed Numbers Addition, Cont.

Notice that overflow occurs only when CARRYin ≠ CARRYout or simply V = Cin XOR Cout where V is the overflow signal. 
14. Overflow Detection Circuit for 2’s Complement Addition
Overflow detection circuit for 2’s complement addition
15. Misconceptions about Overflow
Specific overflow detection requires knowing the operation and the representation. Overflow occurs when you do some operation to two valid representations…
… and the result can not be represented in the representation because the value is too large or too smal. Overflow detection is detecting overflow for a specific representation…
… Too often people mistake overflow condition for unsigned overflow, when the carry out is 1. Overflow detection for 2’s complement addition is different:
One way to detect it is to XOR the carry in and the carry out.
Read More:
 7. Reverse Integer [easy] (Python)
 Java long type error: error: integer number too large
 Leetcode: 7. Reverse Integer(JAVA)
 matlab Error Subscript indices must either be real positive integers or logicals.
 The sum of the two numbers of leetcode
 error: aggregate value used where an integer was expected
 Error in comparing the size function of STL with negative number
 Matlab: Three forms of random number generated (Rand, Randi and Randn)
 VC Critical error detected c0000374 crash problem and solution
 Ioremap function and iounmap() function
 The usage of Matlab function downsample
 Failure [INSTALL_PARSE_FAILED_NO_CERTIFICATES: … has no certificates at entry AndroidManifest.xml]
 Empty Matrices, Scalars, and Vectors
 RuntimeError: reciprocal is not implemented for type torch.cuda.LongTensor
 JSON and map convert to each other (using fastjson)
 Expected primary expression before ‘unsigned’ solution
 Division in Python
 Learn English together  three ways to realize digital factorial with JavaScript
 The compilation error appears with lvalue required as Increment operand
 Hash conflict and four solutions