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  2. Shunting yard algorithm - Wikipedia

    en.wikipedia.org/wiki/Shunting_yard_algorithm

    The result for the above examples would be (in reverse Polish notation) "3 4 +" and "3 4 2 1 − × +", respectively. The shunting yard algorithm will correctly parse all valid infix expressions, but does not reject all invalid expressions. For example, "1 2 +" is not a valid infix expression, but would be parsed as "1 + 2". The algorithm can ...

  3. Stack (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Stack_(abstract_data_type)

    A stack may be implemented as, for example, a singly linked list with a pointer to the top element. A stack may be implemented to have a bounded capacity. If the stack is full and does not contain enough space to accept another element, the stack is in a state of stack overflow. A stack is needed to implement depth-first search.

  4. Fold (higher-order function) - Wikipedia

    en.wikipedia.org/wiki/Fold_(higher-order_function)

    Folds can be regarded as consistently replacing the structural components of a data structure with functions and values. Lists, for example, are built up in many functional languages from two primitives: any list is either an empty list, commonly called nil ([]), or is constructed by prefixing an element in front of another list, creating what is called a cons node ( Cons(X1,Cons(X2,Cons ...

  5. Stack-oriented programming - Wikipedia

    en.wikipedia.org/wiki/Stack-oriented_programming

    PostScript is an example of a postfix stack-based language. An expression example in this language is 2 3 mul ('mul' being the command for the multiplication operation). Calculating the expression involves understanding how stack orientation works. Stack orientation can be presented as the following conveyor belt analogy.

  6. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    In computer science, tree traversal (also known as tree search and walking the tree) is a form of graph traversal and refers to the process of visiting (e.g. retrieving, updating, or deleting) each node in a tree data structure, exactly once.

  7. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    The recursive implementation will visit the nodes from the example graph in the following order: A, B, D, F, E, C, G. The non-recursive implementation will visit the nodes as: A, E, F, B, D, C, G. The non-recursive implementation is similar to breadth-first search but differs from it in two ways: it uses a stack instead of a queue, and

  8. Ackermann function - Wikipedia

    en.wikipedia.org/wiki/Ackermann_function

    When reduction rule r7 is used instead of rule r6, the maximum length of the stack is only (+). The length of the stack reflects the recursion depth. As the reduction according to the rules {r4, r5, r7} involves a smaller maximum depth of recursion, [n 6] this computation is more efficient in that respect.

  9. Tail call - Wikipedia

    en.wikipedia.org/wiki/Tail_call

    If the target of a tail is the same subroutine, the subroutine is said to be tail recursive, which is a special case of direct recursion. Tail recursion (or tail-end recursion) is particularly useful, and is often easy to optimize in implementations. Tail calls can be implemented without adding a new stack frame to the call stack.