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  2. Branch and bound - Wikipedia

    en.wikipedia.org/wiki/Branch_and_bound

    The following is the skeleton of a generic branch and bound algorithm for minimizing an arbitrary objective function f. [3] To obtain an actual algorithm from this, one requires a bounding function bound, that computes lower bounds of f on nodes of the search tree, as well as a problem-specific branching rule.

  3. Skeleton (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Skeleton_(computer...

    ‘Branch and bound’ is an algorithm that also uses map algorithms, however instead of applying the ‘while’ algorithm to run the tasks simultaneously, this algorithm splits the tasks into branches. Each branch has a specific purpose, or ‘bound’, where the conditional statement will cause it to stop. Computer programming portal

  4. PHYLIP - Wikipedia

    en.wikipedia.org/wiki/PHYLIP

    Like strict phylip format files, relaxed phylip format files can be in interleaved format and include spaces and endlines within the sequence data. The programs that use distance data, like the neighbor program that implements the neighbor-joining method, also use a simple distance matrix format the includes only the number of taxa, their names ...

  5. Couenne - Wikipedia

    en.wikipedia.org/wiki/Couenne

    Couenne is an implementation of a branch-and-bound where every subproblem is solved by constructing a linear programming relaxation to obtain a lower bound. Branching may occur at both continuous and integer variables, which is necessary in global optimization problems.

  6. Greedy algorithm - Wikipedia

    en.wikipedia.org/wiki/Greedy_algorithm

    They are ideal only for problems that have an 'optimal substructure'. Despite this, for many simple problems, the best-suited algorithms are greedy. It is important, however, to note that the greedy algorithm can be used as a selection algorithm to prioritize options within a search, or branch-and-bound algorithm.

  7. Nonlinear programming - Wikipedia

    en.wikipedia.org/wiki/Nonlinear_programming

    If the objective function is quadratic and the constraints are linear, quadratic programming techniques are used. If the objective function is a ratio of a concave and a convex function (in the maximization case) and the constraints are convex, then the problem can be transformed to a convex optimization problem using fractional programming ...

  8. Interval contractor - Wikipedia

    en.wikipedia.org/wiki/Interval_contractor

    In mathematics, an interval contractor (or contractor for short) [1] associated to a set is an operator which associates to a hyperrectangle [] in another box ([]) of such that the two following properties are always satisfied:

  9. Function (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Function_(computer...

    A function definition starts with the name of the type of value that it returns or void to indicate that it does not return a value. This is followed by the function name, formal arguments in parentheses, and body lines in braces. In C++, a function declared in a class (as non-static) is called a member function or method.