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  2. Hamming weight - Wikipedia

    en.wikipedia.org/wiki/Hamming_weight

    LLVM-GCC has included this function since version 1.5 in June 2005. [16] In the C++ Standard Library, the bit-array data structure bitset has a count() method that counts the number of bits that are set. In C++20, a new header <bit> was added, containing functions std::popcount and std::has_single_bit, taking arguments of unsigned integer types.

  3. Bit array - Wikipedia

    en.wikipedia.org/wiki/Bit_array

    Unlike the bitset in C++, the Java BitSet does not have a "size" state (it has an effectively infinite size, initialized with 0 bits); a bit can be set or tested at any index. In addition, there is a class EnumSet , which represents a Set of values of an enumerated type internally as a bit vector, as a safer alternative to bit fields.

  4. Find first set - Wikipedia

    en.wikipedia.org/wiki/Find_first_set

    In computer software and hardware, find first set (ffs) or find first one is a bit operation that, given an unsigned machine word, [nb 1] designates the index or position of the least significant bit set to one in the word counting from the least significant bit position.

  5. Bitwise operation - Wikipedia

    en.wikipedia.org/wiki/Bitwise_operation

    In computer programming, a bitwise operation operates on a bit string, a bit array or a binary numeral (considered as a bit string) at the level of its individual bits.It is a fast and simple action, basic to the higher-level arithmetic operations and directly supported by the processor.

  6. x86 Bit manipulation instruction set - Wikipedia

    en.wikipedia.org/wiki/X86_Bit_manipulation...

    LZCNT is related to the Bit Scan Reverse (BSR) instruction, but sets the ZF (if the result is zero) and CF (if the source is zero) flags rather than setting the ZF (if the source is zero). Also, it produces a defined result (the source operand size in bits) if the source operand is zero.

  7. Neighbor joining - Wikipedia

    en.wikipedia.org/wiki/Neighbor_joining

    "Fast NJ" remembers the best node and is O(n^2) always; "relax NJ" performs a hill-climbing search and retains the worst-case complexity of O(n^3). Rapid NJ is faster than plain relaxed NJ. [14] FastME is an implementation of the closely related balanced minimum evolution (BME) method (see § Neighbor joining as minimum evolution). It is about ...

  8. Needleman–Wunsch algorithm - Wikipedia

    en.wikipedia.org/wiki/Needleman–Wunsch_algorithm

    Recent development has focused on improving the time and space cost of the algorithm while maintaining quality. For example, in 2013, a Fast Optimal Global Sequence Alignment Algorithm (FOGSAA), [9] suggested alignment of nucleotide/protein sequences faster than other optimal global alignment methods, including the Needleman–Wunsch algorithm ...

  9. Selection coefficient - Wikipedia

    en.wikipedia.org/wiki/Selection_coefficient

    Selection coefficient, usually denoted by the letter s, is a measure used in population genetics to quantify the relative fitness of a genotype compared to other genotypes. . Selection coefficients are central to the quantitative description of evolution, since fitness differences determine the change in genotype frequencies attributable to selecti