Search results
Results from the WOW.Com Content Network
[1] [2] All functions use floating-point numbers in one manner or another. Different C standards provide different, albeit backwards-compatible, sets of functions. Most of these functions are also available in the C++ standard library, though in different headers (the C headers are included as well, but only as a deprecated compatibility feature).
The sum of four cubes problem [1] asks whether every integer is the sum of four cubes of integers. It is conjectured the answer is affirmative, but this conjecture has been neither proven nor disproven. [2] Some of the cubes may be negative numbers, in contrast to Waring's problem on sums of cubes, where they are required to be positive.
This list of mathematical series contains formulae for finite and infinite sums. It can be used in conjunction with other tools for evaluating sums. Here, is taken to have the value
Let A be the sum of the negative values and B the sum of the positive values; the number of different possible sums is at most B-A, so the total runtime is in (()). For example, if all input values are positive and bounded by some constant C , then B is at most N C , so the time required is O ( N 2 C ) {\displaystyle O(N^{2}C)} .
The following is an incomplete list of some arbitrary-precision arithmetic libraries for C++. GMP [1] [nb 1] MPFR [3] MPIR [4] TTMath [5] Arbitrary Precision Math C++ Package [6] Class Library for Numbers; Number Theory Library; Apfloat [7] C++ Big Integer Library [8] MAPM [9] ARPREC [10] InfInt [11] Universal Numbers [12] mp++ [13] num7 [14]
If the inputs are all non-negative, then the condition number is 1. Note that the 1 − ε log 2 n {\displaystyle 1-\varepsilon \log _{2}n} denominator is effectively 1 in practice, since ε log 2 n {\displaystyle \varepsilon \log _{2}n} is much smaller than 1 until n becomes of order 2 1/ε , which is roughly 10 10 15 in double precision.
You can find instant answers on our AOL Mail help page. Should you need additional assistance we have experts available around the clock at 800-730-2563. Should you need additional assistance we have experts available around the clock at 800-730-2563.
The Fletcher checksum cannot distinguish between blocks of all 0 bits and blocks of all 1 bits. For example, if a 16-bit block in the data word changes from 0x0000 to 0xFFFF, the Fletcher-32 checksum remains the same. This also means a sequence of all 00 bytes has the same checksum as a sequence (of the same size) of all FF bytes.