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  2. Pseudocode - Wikipedia

    en.wikipedia.org/wiki/Pseudocode

    Function calls and blocks of code, such as code contained within a loop, are often replaced by a one-line natural language sentence. Depending on the writer, pseudocode may therefore vary widely in style, from a near-exact imitation of a real programming language at one extreme, to a description approaching formatted prose at the other.

  3. Negamax - Wikipedia

    en.wikipedia.org/wiki/Negamax

    Negamax search is a variant form of minimax search that relies on the zero-sum property of a two-player game.. This algorithm relies on the fact that ⁠ (,) = (,) ⁠ to simplify the implementation of the minimax algorithm.

  4. Subset sum problem - Wikipedia

    en.wikipedia.org/wiki/Subset_sum_problem

    The subset sum problem (SSP) is a decision problem in computer science.In its most general formulation, there is a multiset of integers and a target-sum , and the question is to decide whether any subset of the integers sum to precisely . [1]

  5. Simulated annealing - Wikipedia

    en.wikipedia.org/wiki/Simulated_annealing

    The following pseudocode presents the simulated annealing heuristic as described above. It starts from a state s 0 and continues until a maximum of k max steps have been taken. In the process, the call neighbour( s ) should generate a randomly chosen neighbour of a given state s ; the call random(0, 1) should pick and return a value in the ...

  6. Dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming

    From this definition we can derive straightforward recursive code for q(i, j). In the following pseudocode, n is the size of the board, c(i, j) is the cost function, and min() returns the minimum of a number of values:

  7. DPLL algorithm - Wikipedia

    en.wikipedia.org/wiki/DPLL_algorithm

    The pseudocode DPLL function only returns whether the final assignment satisfies the formula or not. In a real implementation, the partial satisfying assignment typically is also returned on success; this can be derived by keeping track of branching literals and of the literal assignments made during unit propagation and pure literal elimination.

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  9. Dekker's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dekker's_algorithm

    Dekker's algorithm is the first known correct solution to the mutual exclusion problem in concurrent programming where processes only communicate via shared memory. The solution is attributed to Dutch mathematician Th. J. Dekker by Edsger W. Dijkstra in an unpublished paper on sequential process descriptions [1] and his manuscript on cooperating sequential processes. [2]