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  2. Iterative deepening A* - Wikipedia

    en.wikipedia.org/wiki/Iterative_deepening_A*

    Iterative deepening A* (IDA*) is a graph traversal and path search algorithm that can find the shortest path between a designated start node and any member of a set of goal nodes in a weighted graph. It is a variant of iterative deepening depth-first search that borrows the idea to use a heuristic function to conservatively estimate the ...

  3. Iterated function - Wikipedia

    en.wikipedia.org/wiki/Iterated_function

    If f is the action of a group element on a set, then the iterated function corresponds to a free group. Most functions do not have explicit general closed-form expressions for the n-th iterate. The table below lists some [20] that do. Note that all these expressions are valid even for non-integer and negative n, as well as non-negative integer n.

  4. Loop invariant - Wikipedia

    en.wikipedia.org/wiki/Loop_invariant

    In computer science, a loop invariant is a property of a program loop that is true before (and after) each iteration. It is a logical assertion , sometimes checked with a code assertion . Knowing its invariant(s) is essential in understanding the effect of a loop.

  5. Fixed-point iteration - Wikipedia

    en.wikipedia.org/wiki/Fixed-point_iteration

    In numerical analysis, fixed-point iteration is a method of computing fixed points of a function.. More specifically, given a function defined on the real numbers with real values and given a point in the domain of , the fixed-point iteration is + = (), =,,, … which gives rise to the sequence,,, … of iterated function applications , (), (()), … which is hoped to converge to a point .

  6. Loop unrolling - Wikipedia

    en.wikipedia.org/wiki/Loop_unrolling

    Loop unrolling, also known as loop unwinding, is a loop transformation technique that attempts to optimize a program's execution speed at the expense of its binary size, which is an approach known as space–time tradeoff. The transformation can be undertaken manually by the programmer or by an optimizing compiler.

  7. MTD(f) - Wikipedia

    en.wikipedia.org/wiki/MTD(f)

    MTD(f) is a shortened form of MTD(n,f) which stands for Memory-enhanced Test Driver with node ‘n’ and value ‘f’. [1] The efficacy of this paradigm depends on a good initial guess, and the supposition that the final minimax value lies in a narrow window around the guess (which becomes an upper/lower bound for the search from root).

  8. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    Newton's method is one of many known methods of computing square roots. Given a positive number a, the problem of finding a number x such that x 2 = a is equivalent to finding a root of the function f(x) = x 2 − a. The Newton iteration defined by this function is given by

  9. Bidirectional search - Wikipedia

    en.wikipedia.org/wiki/Bidirectional_search

    Bidirectional search is a graph search algorithm that finds a shortest path from an initial vertex to a goal vertex in a directed graph.It runs two simultaneous searches: one forward from the initial state, and one backward from the goal, stopping when the two meet.