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  2. Carry-save adder - Wikipedia

    en.wikipedia.org/wiki/Carry-save_adder

    A carry-save adder [1] [2] [nb 1] is a type of digital adder, used to efficiently compute the sum of three or more binary numbers. It differs from other digital adders in that it outputs two (or more) numbers, and the answer of the original summation can be achieved by adding these outputs together.

  3. Signed number representations - Wikipedia

    en.wikipedia.org/wiki/Signed_number_representations

    However, a binary number system with base −2 is also possible. The rightmost bit represents (−2) 0 = +1, the next bit represents (−2) 1 = −2, the next bit (−2) 2 = +4 and so on, with alternating sign. The numbers that can be represented with four bits are shown in the comparison table below.

  4. Binary-coded decimal - Wikipedia

    en.wikipedia.org/wiki/Binary-coded_decimal

    This scheme can also be referred to as Simple Binary-Coded Decimal (SBCD) or BCD 8421, and is the most common encoding. [12] Others include the so-called "4221" and "7421" encoding – named after the weighting used for the bits – and "Excess-3". [13]

  5. Addition - Wikipedia

    en.wikipedia.org/wiki/Addition

    2 + (1 + 3) = (2 + 1) + 3 with segmented rods. Addition is associative, which means that when three or more numbers are added together, the order of operations does not change the result. As an example, should the expression a + b + c be defined to mean (a + b) + c or a + (b + c)? Given that addition is associative, the choice of definition is ...

  6. Serial binary adder - Wikipedia

    en.wikipedia.org/wiki/Serial_binary_adder

    The serial binary adder or bit-serial adder is a digital circuit that performs binary addition bit by bit. The serial full adder has three single-bit inputs for the numbers to be added and the carry in. There are two single-bit outputs for the sum and carry out. The carry-in signal is the previously calculated carry-out signal.

  7. Associative property - Wikipedia

    en.wikipedia.org/wiki/Associative_property

    1.000 2 ×2 0 + (1.000 2 ×2 0 + 1.000 2 ×2 4) = 1.000 2 ×2 0 + 1.000 2 ×2 4 = 1.00 0 2 ×2 4 Even though most computers compute with 24 or 53 bits of significand, [ 8 ] this is still an important source of rounding error, and approaches such as the Kahan summation algorithm are ways to minimise the errors.

  8. Bitwise operation - Wikipedia

    en.wikipedia.org/wiki/Bitwise_operation

    Thus, if both bits in the compared position are 1, the bit in the resulting binary representation is 1 (1 × 1 = 1); otherwise, the result is 0 (1 × 0 = 0 and 0 × 0 = 0). For example: 0101 (decimal 5) AND 0011 (decimal 3) = 0001 (decimal 1) The operation may be used to determine whether a particular bit is set (1) or cleared (0). For example ...

  9. Hyperoperation - Wikipedia

    en.wikipedia.org/wiki/Hyperoperation

    The sequence continues with the binary operations of addition (n = 1), multiplication (n = 2), and exponentiation (n = 3). After that, the sequence proceeds with further binary operations extending beyond exponentiation, using right-associativity .