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Heap modeling: Run-time allocations may be abstracted by: their allocation sites (the statement or instruction that performs the allocation, e.g., a call to malloc or an object constructor), a more complex model based on a shape analysis, the type of the allocation, or; one single allocation (this is called heap-insensitivity).
This algorithm is O(n) on the size of the heap; it has a better complexity than the table-based approach, but the table-based approach's n is the size of the used space only, not the entire heap space as in the LISP2 algorithm. However, the LISP2 algorithm is simpler to implement.
The heapsort algorithm can be divided into two phases: heap construction, and heap extraction. The heap is an implicit data structure which takes no space beyond the array of objects to be sorted; the array is interpreted as a complete binary tree where each array element is a node and each node's parent and child links are defined by simple arithmetic on the array indexes.
(Swap with its smaller child in a min-heap and its larger child in a max-heap.) Steps 2 and 3, which restore the heap property by comparing and possibly swapping a node with one of its children, are called the down-heap (also known as bubble-down, percolate-down, sift-down, sink-down, trickle down, heapify-down, cascade-down, fix-down, extract ...
In computer science, a min-max heap is a complete binary tree data structure which combines the usefulness of both a min-heap and a max-heap, that is, it provides constant time retrieval and logarithmic time removal of both the minimum and maximum elements in it. [2]
In computer science and formal methods, a SAT solver is a computer program which aims to solve the Boolean satisfiability problem (SAT). On input a formula over Boolean variables, such as "(x or y) and (x or not y)", a SAT solver outputs whether the formula is satisfiable, meaning that there are possible values of x and y which make the formula true, or unsatisfiable, meaning that there are no ...
This method of performing selection in a heap has been applied to problems of listing multiple solutions to combinatorial optimization problems, such as finding the k shortest paths in a weighted graph, by defining a state space of solutions in the form of an implicitly defined heap-ordered tree, and then applying this selection algorithm to ...
This problem is an act to force some variables to be assigned to particular registers. For example, in PowerPC calling conventions, parameters are commonly passed in R3-R10 and the return value is passed in R3. [12] NP-Problem Chaitin et al. showed that register allocation is an NP-complete problem.