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  2. Binary logarithm - Wikipedia

    en.wikipedia.org/wiki/Binary_logarithm

    The precise size that can be guaranteed is not known, but the best bounds known on its size involve binary logarithms. In particular, all graphs have a clique or independent set of size at least ⁠ 1 / 2 ⁠ log 2 n (1 − o(1)) and almost all graphs do not have a clique or independent set of size larger than 2 log 2 n (1 + o(1)). [32]

  3. Cantor's diagonal argument - Wikipedia

    en.wikipedia.org/wiki/Cantor's_diagonal_argument

    Cantor's diagonal argument (among various similar names [ note 1]) is a mathematical proof that there are infinite sets which cannot be put into one-to-one correspondence with the infinite set of natural numbers – informally, that there are sets which in some sense contain more elements than there are positive integers.

  4. Prime number theorem - Wikipedia

    en.wikipedia.org/wiki/Prime_number_theorem

    Dirichlet's theorem states that asymptotically, 25% of all primes end in each of these four digits. However, empirical evidence shows that the number of primes that end in 3 or 7 less than n tends to be slightly bigger than the number of primes that end in 1 or 9 less than n (a generation of the Chebyshev's bias). [34]

  5. Two's complement - Wikipedia

    en.wikipedia.org/wiki/Two's_complement

    Two's complement is the most common method of representing signed (positive, negative, and zero) integers on computers, [1] and more generally, fixed point binary values. Two's complement uses the binary digit with the greatest value as the sign to indicate whether the binary number is positive or negative; when the most significant bit is 1 the number is signed as negative and when the most ...

  6. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    In computing, a roundoff error, [1] also called rounding error, [2] is the difference between the result produced by a given algorithm using exact arithmetic and the result produced by the same algorithm using finite-precision, rounded arithmetic. [3] Rounding errors are due to inexactness in the representation of real numbers and the ...

  7. Block cipher mode of operation - Wikipedia

    en.wikipedia.org/wiki/Block_cipher_mode_of_operation

    I.e. 1-bit loss in a 128-bit-wide block cipher like AES will render 129 invalid bits before emitting valid bits. CFB may also self synchronize in some special cases other than those specified. For example, a one bit change in CFB-128 with an underlying 128 bit block cipher, will re-synchronize after two blocks.

  8. Bit error rate - Wikipedia

    en.wikipedia.org/wiki/Bit_error_rate

    1:7 – Also referred to as 1 in 8. It has only a single one in an eight-bit repeating sequence. It has only a single one in an eight-bit repeating sequence. This pattern stresses the minimum ones density of 12.5% and should be used when testing facilities set for B8ZS coding as the 3 in 24 pattern increases to 29.5% when converted to B8ZS.

  9. Chandrasekhar limit - Wikipedia

    en.wikipedia.org/wiki/Chandrasekhar_limit

    In the strongly relativistic limit, the equation of state takes the form P = K 2 ρ 4/3. This yields a polytrope of index 3, which has a total mass, M limit, depending only on K 2. [9] For a fully relativistic treatment, the equation of state used interpolates between the equations P = K 1 ρ 5/3 for small ρ and P = K 2 ρ 4/3 for large ρ.