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Heap (data structure)

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2006:: A heap data structure is useful to merge many already-sorted input streams into a single sorted output stream. Examples of the need for merging include external sorting and streaming results from distributed data such as a log structured merge tree. The inner loop is obtaining the min element, replacing with the next element for the corresponding input stream, then doing a sift-down heap operation. (Alternatively the replace function.) (Using extract-max and insert functions of a priority queue are much less efficient.) 104:, and in fact, priority queues are often referred to as "heaps", regardless of how they may be implemented. In a heap, the highest (or lowest) priority element is always stored at the root. However, a heap is not a sorted structure; it can be regarded as being partially ordered. A heap is a useful data structure when it is necessary to repeatedly remove the object with the highest (or lowest) priority, or when insertions need to be interspersed with removals of the root node. 359: 38: 162:
Heaps are typically constructed in-place in the same array where the elements are stored, with their structure being implicit in the access pattern of the operations. Heaps differ in this way from other data structures with similar or in some cases better theoretic bounds such as
370:, in the array, the first index contains the root element. The next two indices of the array contain the root's children. The next four indices contain the four children of the root's two child nodes, and so on. Therefore, given a node at index 2000:: A priority queue is an abstract concept like "a list" or "a map"; just as a list can be implemented with a linked list or an array, a priority queue can be implemented with a heap or a variety of other methods. 2144:. This class implements by default a min-heap; to implement a max-heap, programmer should write a custom comparator. There is no support for the replace, sift-up/sift-down, or decrease/increase-key operations. 451:
Balancing a heap is done by sift-up or sift-down operations (swapping elements which are out of order). As we can build a heap from an array without requiring extra memory (for the nodes, for example),
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package with heap algorithms that operate on an arbitrary type that satisfies a given interface. That package does not support the replace, sift-up/sift-down, or decrease/increase-key operations.
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Brodal queues and strict Fibonacci heaps achieve optimal worst-case complexities for heaps. They were first described as imperative data structures. The Brodal-Okasaki queue is a
1606: 1980:: A heap allows access to the min or max element in constant time, and other selections (such as median or kth-element) can be done in sub-linear time on data that is in a heap. 159:). The heap relation mentioned above applies only between nodes and their parents, grandparents. The maximum number of children each node can have depends on the type of heap. 237:: pop root and push a new key. This is more efficient than a pop followed by a push, since it only needs to balance once, not twice, and is appropriate for fixed-size heaps. 2959: 2830: 2040:, which wraps these facilities in a container-like class. However, there is no standard support for the replace, sift-up/sift-down, or decrease/increase-key operations. 2218:
has an implementation of a heap in the Collections-Sequenceable package along with a set of test cases. A heap is used in the implementation of the timer event loop.
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After an element is inserted into or deleted from a heap, the heap property may be violated, and the heap must be re-balanced by swapping elements within the array.
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include a heaps library. Unlike the STL, it supports decrease and increase operations, and supports additional types of heap: specifically, it supports
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Add the new element at the end of the heap, in the first available free space. If this will violate the heap property, sift up the new element (
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Remove the root and insert the last element of the heap in the root. If this will violate the heap property, sift down the new root (
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module that implements a priority queue using a binary heap. The library exposes a heapreplace function to support k-way merging.
3323: 3754: 692: 3759: 3176: 2136: 1608:, a constant factor (half) of these insertions are within a constant factor of the maximum, so asymptotically we can assume 151:
Note that, as shown in the graphic, there is no implied ordering between siblings or cousins and no implied sequence for an
3724: 2147: 1825:). Applied to skew binomial heaps, it yields Brodal-Okasaki queues, persistent heaps with optimal worst-case complexities. 362:
Example of a complete binary max-heap with node keys being integers from 1 to 100 and how it would be stored in an array.
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element in the root and sift down. When compared to extraction followed by insertion, this avoids a sift up step.
330:: move a node down in the tree, similar to sift-up; used to restore heap condition after deletion or replacement. 266:): joining two heaps to form a valid new heap containing all the elements of both, preserving the original heaps. 1637: 272:: joining two heaps to form a valid new heap containing all the elements of both, destroying the original heaps. 3833: 3828: 3787: 3717: 3229: 2866:. FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science. pp. 174–183. 2628: 2078: 2059: 699:
indicates that the given complexity is amortized, otherwise it is a worst-case complexity. For the meaning of "
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Suchenek, Marek A. (2012), "Elementary Yet Precise Worst-Case Analysis of Floyd's Heap-Construction Program",
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Although different types of heaps implement the operations differently, the most common way is as follows:
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For the memory heap (in low-level computer programming), which is unrelated to this data structure, see
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Brodal, Gerth Stølting; Okasaki, Chris (November 1996), "Optimal purely functional priority queues",
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algorithms for heaps (usually implemented as binary heaps), which operate on arbitrary random access
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binary tree (see figure). The heap data structure, specifically the binary heap, was introduced by
3959: 3327: 2100: 3944: 3809: 3769: 3638: 3597: 3423: 3413: 3292: 2771: 2408: 1983: 1014: 629: 156: 97: 619: 217:): returns the node of maximum value from a max heap after removing it from the heap (a.k.a., 3878: 3777: 3532: 3233: 3193: 3172: 3088: 3031: 2885: 2799: 2715: 2574: 2537: 2472: 2384: 2353: 2333: 2255: 501:-ary) heap out of a given array of elements may be performed in linear time using the classic 152: 116: 2505: 2396: 3901: 3623: 3160: 3118: 3080: 3023: 2978: 2925: 2877: 2839: 2791: 2688: 2620: 2566: 2529: 2454: 2429: 2367: 1974:: One of the best sorting methods being in-place and with no quadratic worst-case scenarios. 191:): find a maximum item of a max-heap, or a minimum item of a min-heap, respectively (a.k.a. 124: 50: 3012:. Proceedings of the 44th symposium on Theory of Computing - STOC '12. pp. 1177–1184. 3921: 3863: 3567: 3317: 2943: 2818: 2203: 412: 379: 2245:
class which uses quaternary (d-ary) min-heap implementation. It is available from .NET 6.
2082: 1611: 131:. When a heap is a complete binary tree, it has the smallest possible height—a heap with 4013: 3991: 3816: 3740: 3520: 3515: 3398: 3332: 2497: 1997: 1322: 716: 609: 101: 62: 17: 2858: 2770:, Lecture Notes in Computer Science, vol. 1851, Springer-Verlag, pp. 63–77, 314:: delete an arbitrary node (followed by moving last node and sifting to maintain heap) 4083: 3986: 3883: 3868: 3668: 3648: 3491: 3380: 3307: 3000: 2947: 2906: 2707: 2624: 2558: 2501: 952: 591: 3242: 1073: 571: 3628: 3592: 3408: 3403: 3385: 3297: 1430: 1204: 889: 669: 644: 639: 624: 596: 3108:
Frederickson, Greg N. (1993), "An Optimal Algorithm for Selection in a Min-Heap",
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platform (since version 1.5) provides a binary heap implementation with the class
448:. This simple indexing scheme makes it efficient to move "up" or "down" the tree. 167:
in that they require no additional memory beyond that used for storing the keys.
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has implementations of binary, binomial, and Fibonacci heaps in the
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The Python Standard Library, 8.4. heapq — Heap queue algorithm,
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The Python Standard Library, 8.4. heapq — Heap queue algorithm,
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The Python Standard Library, 8.4. heapq — Heap queue algorithm,
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sorting algorithm. Heaps are also crucial in several efficient
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Each element in the array represents a node of the heap, and
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programming language has a binary max-heap implementation,
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statements and integration with the range-based API of the
542:) is the sum of all digits of the binary representation of 3063:
Proc. 7th Annual ACM-SIAM Symposium on Discrete Algorithms
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operation) until the heap property has been reestablished.
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The heap is one maximally efficient implementation of an
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max-heap with node keys being integers between 1 and 100
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data structure achieving the same optimum, except that
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is the operation of building a heap from a sequence of
2492: 2490: 2488: 505:, with the worst-case number of comparisons equal to 2 85:) of P is greater than or equal to the key of C. In a 1884: 1840: 1640: 1614: 1556: 1500: 557:) is the exponent of 2 in the prime factorization of 415: 382: 291:: return true if the heap is empty, false otherwise. 4036: 3930: 3892: 3849: 3768: 3747: 3611: 3490: 3437: 3366: 3223: 3117:, vol. 104, Academic Press, pp. 197–214, 2764:
Proc. 7th Scandinavian Workshop on Algorithm Theory
2761:(2000), "Improved upper bounds for pairing heaps", 2653:"Binomial Heap | Brilliant Math & Science Wiki" 3171:(2nd ed.). Addison Wesley. pp. 147–162. 2960:Journal of the Association for Computing Machinery 2831:Journal of the Association for Computing Machinery 2051:-ary, binomial, Fibonacci, pairing and skew heaps. 1928: 1870: 1703: 1626: 1600: 1542: 695:of various heap data structures. The abbreviation 430: 397: 2674: 2672: 2553: 2551: 2314:, 14 December 2004. Retrieved on 2017-10-08 from 1769: 1767: 1765: 2170:) as of version 5.3 in the Standard PHP Library. 1781:), a generic transformation reduces the cost of 1967:The heap data structure has many applications. 3083:(2004). "7.3.6. Bottom-Up Heap Construction". 2312:National Institute of Standards and Technology 1929:{\displaystyle O(2^{2{\sqrt {\log \log n}}}).} 256:: create a heap out of given array of elements 3725: 3201: 2300:Black (ed.), Paul E. (2004-12-14). Entry for 8: 2307:Dictionary of Algorithms and Data Structures 1350: 1341: 1293: 1284: 1236: 1223: 1197: 1184: 1175: 1166: 1153: 1107: 1092: 987: 882: 869: 856: 843: 830: 696: 483:operation) to reestablish the heap property. 2471:(1st ed.). MIT Press and McGraw-Hill. 2316:https://xlinux.nist.gov/dads/HTML/heap.html 687:Comparison of theoretic bounds for variants 175:The common operations involving heaps are: 3732: 3718: 3710: 3208: 3194: 3186: 1943: 1941: 1704:{\displaystyle nO(\log n)-O(n)=O(n\log n)} 1494:)) in the existing size of the heap, thus 3122: 3017: 2972: 2871: 2860:Towards a Final Analysis of Pairing Heaps 2785: 2775: 2692: 2614: 2523: 1899: 1895: 1883: 1839: 1639: 1613: 1566: 1555: 1516: 1505: 1499: 719:. Names of operations assume a max-heap. 414: 381: 285:: return the number of items in the heap. 107:A common implementation of a heap is the 2710:(1998). "10.2. Structural Abstraction". 2594:Hayward, Ryan; McDiarmid, Colin (1991). 2103:that allows iteration with D's built-in 2091:. Instances can be constructed from any 1543:{\displaystyle \sum _{k=1}^{n}O(\log k)} 721: 203:: adding a new key to the heap (a.k.a., 77:C, if P is a parent node of C, then the 2293: 2087:, which is implemented in terms of D's 1483: 456:can be used to sort an array in-place. 3085:Data Structures and Algorithms in Java 3056:"Worst-Case Efficient Priority Queues" 2563:Data Structures and Network Algorithms 2449: 2447: 2445: 2443: 1988:Prim's minimal-spanning-tree algorithm 354:by the elements' indices in the array. 339:Heaps are usually implemented with an 3163:of how the basic heap algorithms work 2905:Haeupler, Bernhard; Sen, Siddhartha; 2074:support. It provides an STL-like API. 1871:{\displaystyle \Omega (\log \log n),} 1731:unsorted elements. It can be done in 1711:. This can also be readily seen from 139:branches for each node always has log 119:in 1964, as a data structure for the 7: 2356:(1964), "Algorithm 232 - Heapsort", 2011:Programming language implementations 1809:(1) time (amortized, if the cost of 1601:{\displaystyle \log n/2=(\log n)-1} 350:The parent / child relationship is 3087:(3rd ed.). pp. 338–341. 2714:(1st ed.). pp. 158–162. 1992:Dijkstra's shortest-path algorithm 1841: 25: 2712:Purely Functional Data Structures 2681:Journal of Functional Programming 2235:module of its standard library. 1793:is the sum of the old costs of 155:(as there would be in, e.g., a 27:Computer science data structure 2561:(1983). "3.3. Leftist heaps". 1920: 1888: 1862: 1844: 1698: 1683: 1674: 1668: 1659: 1647: 1589: 1577: 1537: 1525: 374:, its children are at indices 1: 531:) (for a binary heap), where 497:Construction of a binary (or 440:, and its parent is at index 2625:10.1016/0196-6774(91)90027-v 2077:The standard library of the 489:Remove the root and put the 4056:Directed acyclic word graph 3822:Double-ended priority queue 3167:Bentley, Jon Louis (2000). 3111:Information and Computation 2056:generic heap implementation 1490:Each insertion takes O(log( 32:C dynamic memory allocation 4106: 2468:Introduction to Algorithms 2330:INTRODUCTION TO ALGORITHMS 2328:CORMEN, THOMAS H. (2009). 2271:Queue (abstract data type) 2266:Stack (abstract data type) 2182:distribution available on 2142:Java Collections Framework 29: 4064: 2944:Fredman, Michael Lawrence 2819:Fredman, Michael Lawrence 2694:10.1017/s095679680000201x 2511:SIAM Journal on Computing 2359:Communications of the ACM 111:, in which the tree is a 3788:Retrieval Data Structure 3664:Left-child right-sibling 2084:std.container.BinaryHeap 1789:, while the new cost of 1713:Stirling's approximation 655:Randomized meldable heap 4090:Heaps (data structures) 4069:List of data structures 4046:Binary decision diagram 3494:data partitioning trees 3452:C-trie (compressed ADT) 3028:10.1145/2213977.2214082 2999:; Lagogiannis, George; 2796:10.1007/3-540-44985-X_5 2571:10.1137/1.9781611970265 2498:Sleator, Daniel Dominic 2428:(1), IOS Press: 75–92, 2422:Fundamenta Informaticae 2310:. Online version. U.S. 2137:java.util.PriorityQueue 1634:; formally the time is 18:Heap (computer science) 4051:Directed acyclic graph 3124:10.1006/inco.1993.1030 3006:Strict Fibonacci heaps 2997:Brodal, Gerth Stølting 2506:"Self-Adjusting Heaps" 2079:D programming language 1930: 1872: 1777:heaps (not supporting 1705: 1628: 1602: 1544: 1521: 432: 399: 363: 250:: create an empty heap 46: 2857:Pettie, Seth (2005). 2844:10.1145/320211.320214 2459:Leiserson, Charles E. 2372:10.1145/512274.512284 2276:Tree (data structure) 2261:Search data structure 2101:input range interface 1931: 1873: 1706: 1629: 1603: 1545: 1501: 635:Strict Fibonacci heap 433: 400: 361: 40: 3917:Unrolled linked list 3674:Log-structured merge 3217:Tree data structures 3157:at Wolfram MathWorld 3077:Goodrich, Michael T. 2911:"Rank-pairing heaps" 2882:10.1109/SFCS.2005.75 2502:Tarjan, Robert Endre 2193:language contains a 2018:C++ Standard Library 1978:Selection algorithms 1882: 1838: 1638: 1612: 1554: 1498: 431:{\displaystyle 2i+2} 413: 398:{\displaystyle 2i+1} 380: 129:Dijkstra's algorithm 3965:Self-balancing tree 2983:10.1145/28869.28874 2741:Theory of 2–3 Heaps 2434:10.3233/FI-2012-751 2206:library contains a 2162:has both max-heap ( 2093:random-access range 2045:Boost C++ libraries 1759:) for binary heaps. 1627:{\displaystyle k=n} 65:that satisfies the 3945:Binary search tree 3810:Double-ended queue 3639:Fractal tree index 3234:associative arrays 3169:Programming Pearls 2565:. pp. 38–42. 2354:Williams, J. W. J. 1926: 1868: 1701: 1624: 1598: 1540: 630:Skew binomial heap 428: 395: 364: 352:defined implicitly 157:binary search tree 153:in-order traversal 98:abstract data type 47: 4077: 4076: 3879:Hashed array tree 3778:Associative array 3707: 3706: 3081:Tamassia, Roberto 3037:978-1-4503-1245-5 3001:Tarjan, Robert E. 2948:Tarjan, Robert E. 2930:10.1137/100785351 2918:SIAM J. Computing 2909:(November 2011). 2907:Tarjan, Robert E. 2580:978-0-89871-187-5 2504:(February 1986). 2463:Rivest, Ronald L. 2455:Cormen, Thomas H. 2409:heapq.heapreplace 2339:978-0-262-03384-8 2256:Sorting algorithm 1955:is not supported. 1916: 1801:. Here, it makes 1480: 1479: 693:time complexities 117:J. W. J. Williams 16:(Redirected from 4097: 3902:Association list 3734: 3727: 3720: 3711: 3210: 3203: 3196: 3187: 3182: 3142: 3141: 3140: 3139: 3133: 3127:, archived from 3126: 3116: 3105: 3099: 3098: 3073: 3067: 3066: 3065:, pp. 52–58 3060: 3052:Brodal, Gerth S. 3048: 3042: 3041: 3021: 3011: 2993: 2987: 2986: 2976: 2956: 2940: 2934: 2933: 2924:(6): 1463–1485. 2915: 2902: 2896: 2895: 2875: 2865: 2854: 2848: 2847: 2827: 2815: 2809: 2808: 2789: 2779: 2769: 2755: 2749: 2748: 2746: 2732: 2726: 2725: 2704: 2698: 2697: 2696: 2676: 2667: 2666: 2664: 2663: 2649: 2643: 2642: 2640: 2639: 2633: 2627:. Archived from 2618: 2600: 2591: 2585: 2584: 2555: 2546: 2545: 2527: 2494: 2483: 2482: 2451: 2438: 2436: 2417: 2411: 2405: 2399: 2393: 2387: 2381: 2375: 2374: 2350: 2344: 2343: 2325: 2319: 2298: 2234: 2229: 2210: 2197: 2180: 2169: 2166:) and min-heap ( 2165: 2154: 2139: 2125: 2111: 2106: 2098: 2085: 2039: 2031: 2027: 2023: 1984:Graph algorithms 1956: 1945: 1936: 1935: 1933: 1932: 1927: 1919: 1918: 1917: 1900: 1877: 1875: 1874: 1869: 1832: 1826: 1771: 1760: 1739:) time whenever 1722: 1716: 1710: 1708: 1707: 1702: 1633: 1631: 1630: 1625: 1607: 1605: 1604: 1599: 1570: 1549: 1547: 1546: 1541: 1520: 1515: 1488: 1380:Strict Fibonacci 1352: 1343: 1295: 1286: 1238: 1225: 1199: 1186: 1177: 1168: 1155: 1109: 1094: 989: 884: 871: 858: 845: 832: 722: 698: 447: 439: 437: 435: 434: 429: 406: 404: 402: 401: 396: 373: 125:graph algorithms 73:, for any given 51:computer science 21: 4105: 4104: 4100: 4099: 4098: 4096: 4095: 4094: 4080: 4079: 4078: 4073: 4060: 4032: 3926: 3922:XOR linked list 3888: 3864:Circular buffer 3845: 3764: 3743: 3741:Data structures 3738: 3708: 3703: 3607: 3486: 3433: 3362: 3358:Weight-balanced 3313:Order statistic 3227: 3219: 3214: 3179: 3166: 3151: 3146: 3145: 3137: 3135: 3131: 3114: 3107: 3106: 3102: 3095: 3075: 3074: 3070: 3058: 3050: 3049: 3045: 3038: 3019:10.1.1.233.1740 3009: 2995: 2994: 2990: 2974:10.1.1.309.8927 2954: 2942: 2941: 2937: 2913: 2904: 2903: 2899: 2892: 2863: 2856: 2855: 2851: 2825: 2817: 2816: 2812: 2806: 2787:10.1.1.748.7812 2767: 2757: 2756: 2752: 2744: 2734: 2733: 2729: 2722: 2706: 2705: 2701: 2678: 2677: 2670: 2661: 2659: 2651: 2650: 2646: 2637: 2635: 2631: 2616:10.1.1.353.7888 2598: 2593: 2592: 2588: 2581: 2557: 2556: 2549: 2534:10.1137/0215004 2496: 2495: 2486: 2479: 2453: 2452: 2441: 2419: 2418: 2414: 2406: 2402: 2394: 2390: 2382: 2378: 2352: 2351: 2347: 2340: 2327: 2326: 2322: 2299: 2295: 2290: 2252: 2232: 2227: 2208: 2204:Core Foundation 2195: 2178: 2167: 2163: 2152: 2135: 2123: 2109: 2104: 2096: 2083: 2037: 2029: 2025: 2021: 2013: 1965: 1960: 1959: 1946: 1939: 1891: 1880: 1879: 1878:upper bound of 1836: 1835: 1834:Lower bound of 1833: 1829: 1772: 1763: 1723: 1719: 1636: 1635: 1610: 1609: 1552: 1551: 1496: 1495: 1489: 1485: 689: 684: 567: 552: 537: 526: 515: 503:Floyd algorithm 441: 411: 410: 408: 378: 377: 375: 371: 337: 173: 144: 35: 28: 23: 22: 15: 12: 11: 5: 4103: 4101: 4093: 4092: 4082: 4081: 4075: 4074: 4072: 4071: 4065: 4062: 4061: 4059: 4058: 4053: 4048: 4042: 4040: 4034: 4033: 4031: 4030: 4029: 4028: 4018: 4017: 4016: 4014:Hilbert R-tree 4011: 4006: 3996: 3995: 3994: 3992:Fibonacci heap 3989: 3984: 3974: 3973: 3972: 3967: 3962: 3960:Red–black tree 3957: 3952: 3942: 3936: 3934: 3928: 3927: 3925: 3924: 3919: 3914: 3909: 3904: 3898: 3896: 3890: 3889: 3887: 3886: 3881: 3876: 3871: 3866: 3861: 3855: 3853: 3847: 3846: 3844: 3843: 3842: 3841: 3836: 3826: 3825: 3824: 3817:Priority queue 3814: 3813: 3812: 3802: 3797: 3792: 3791: 3790: 3785: 3774: 3772: 3766: 3765: 3763: 3762: 3757: 3751: 3749: 3745: 3744: 3739: 3737: 3736: 3729: 3722: 3714: 3705: 3704: 3702: 3701: 3696: 3691: 3686: 3681: 3676: 3671: 3666: 3661: 3656: 3651: 3646: 3641: 3636: 3631: 3626: 3621: 3615: 3613: 3609: 3608: 3606: 3605: 3600: 3595: 3590: 3585: 3580: 3575: 3570: 3565: 3560: 3555: 3550: 3545: 3540: 3523: 3518: 3513: 3508: 3503: 3497: 3495: 3488: 3487: 3485: 3484: 3479: 3474: 3472:Ternary search 3469: 3464: 3459: 3454: 3449: 3443: 3441: 3435: 3434: 3432: 3431: 3426: 3421: 3416: 3411: 3406: 3401: 3396: 3388: 3383: 3378: 3372: 3370: 3364: 3363: 3361: 3360: 3355: 3350: 3345: 3340: 3335: 3330: 3320: 3315: 3310: 3305: 3300: 3295: 3285: 3280: 3275: 3270: 3265: 3260: 3255: 3250: 3245: 3239: 3237: 3221: 3220: 3215: 3213: 3212: 3205: 3198: 3190: 3184: 3183: 3177: 3164: 3158: 3150: 3149:External links 3147: 3144: 3143: 3100: 3093: 3068: 3043: 3036: 2988: 2967:(3): 596–615. 2935: 2897: 2890: 2873:10.1.1.549.471 2849: 2838:(4): 473–501. 2810: 2804: 2750: 2736:Takaoka, Tadao 2727: 2720: 2708:Okasaki, Chris 2699: 2687:(6): 839–857, 2668: 2644: 2586: 2579: 2559:Tarjan, Robert 2547: 2525:10.1.1.93.6678 2484: 2477: 2439: 2412: 2400: 2388: 2385:heapq.heappush 2376: 2366:(6): 347–348, 2345: 2338: 2320: 2292: 2291: 2289: 2286: 2285: 2284: 2278: 2273: 2268: 2263: 2258: 2251: 2248: 2247: 2246: 2236: 2219: 2213: 2200: 2187: 2171: 2157: 2145: 2128: 2115: 2075: 2052: 2041: 2038:priority_queue 2012: 2009: 2008: 2007: 2001: 1998:Priority queue 1995: 1981: 1975: 1964: 1961: 1958: 1957: 1937: 1925: 1922: 1915: 1912: 1909: 1906: 1903: 1898: 1894: 1890: 1887: 1867: 1864: 1861: 1858: 1855: 1852: 1849: 1846: 1843: 1827: 1817:still runs in 1761: 1717: 1700: 1697: 1694: 1691: 1688: 1685: 1682: 1679: 1676: 1673: 1670: 1667: 1664: 1661: 1658: 1655: 1652: 1649: 1646: 1643: 1623: 1620: 1617: 1597: 1594: 1591: 1588: 1585: 1582: 1579: 1576: 1573: 1569: 1565: 1562: 1559: 1539: 1536: 1533: 1530: 1527: 1524: 1519: 1514: 1511: 1508: 1504: 1482: 1481: 1478: 1477: 1467: 1461: 1455: 1449: 1439: 1433: 1427: 1426: 1416: 1410: 1404: 1398: 1388: 1382: 1376: 1375: 1365: 1359: 1353: 1344: 1331: 1325: 1319: 1318: 1308: 1302: 1296: 1287: 1274: 1268: 1262: 1261: 1251: 1245: 1239: 1226: 1213: 1207: 1201: 1200: 1187: 1178: 1169: 1156: 1143: 1137: 1135:Bottom-up skew 1131: 1130: 1120: 1110: 1101: 1095: 1082: 1076: 1070: 1069: 1059: 1049: 1043: 1033: 1023: 1017: 1011: 1010: 1000: 990: 981: 971: 961: 955: 949: 948: 938: 928: 918: 908: 898: 892: 886: 885: 872: 859: 846: 833: 820: 814: 808: 807: 797: 787: 777: 767: 757: 751: 745: 744: 741: 738: 735: 732: 729: 726: 717:Big O notation 688: 685: 683: 682: 677: 672: 667: 662: 657: 652: 647: 642: 637: 632: 627: 622: 617: 612: 610:Fibonacci heap 607: 599: 594: 589: 584: 579: 574: 568: 566: 563: 550: 535: 524: 513: 495: 494: 484: 474: 427: 424: 421: 418: 394: 391: 388: 385: 356: 355: 348: 343:, as follows: 336: 335:Implementation 333: 332: 331: 325: 315: 309: 298: 297: 293: 292: 286: 279: 278: 274: 273: 267: 257: 251: 244: 243: 239: 238: 232: 222: 208: 198: 181: 180: 172: 169: 140: 102:priority queue 63:data structure 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 4102: 4091: 4088: 4087: 4085: 4070: 4067: 4066: 4063: 4057: 4054: 4052: 4049: 4047: 4044: 4043: 4041: 4039: 4035: 4027: 4024: 4023: 4022: 4019: 4015: 4012: 4010: 4007: 4005: 4002: 4001: 4000: 3997: 3993: 3990: 3988: 3987:Binomial heap 3985: 3983: 3980: 3979: 3978: 3975: 3971: 3968: 3966: 3963: 3961: 3958: 3956: 3953: 3951: 3948: 3947: 3946: 3943: 3941: 3938: 3937: 3935: 3933: 3929: 3923: 3920: 3918: 3915: 3913: 3910: 3908: 3905: 3903: 3900: 3899: 3897: 3895: 3891: 3885: 3884:Sparse matrix 3882: 3880: 3877: 3875: 3872: 3870: 3869:Dynamic array 3867: 3865: 3862: 3860: 3857: 3856: 3854: 3852: 3848: 3840: 3837: 3835: 3832: 3831: 3830: 3827: 3823: 3820: 3819: 3818: 3815: 3811: 3808: 3807: 3806: 3803: 3801: 3798: 3796: 3793: 3789: 3786: 3784: 3781: 3780: 3779: 3776: 3775: 3773: 3771: 3767: 3761: 3758: 3756: 3753: 3752: 3750: 3746: 3742: 3735: 3730: 3728: 3723: 3721: 3716: 3715: 3712: 3700: 3697: 3695: 3692: 3690: 3687: 3685: 3682: 3680: 3677: 3675: 3672: 3670: 3667: 3665: 3662: 3660: 3657: 3655: 3652: 3650: 3649:Hash calendar 3647: 3645: 3642: 3640: 3637: 3635: 3632: 3630: 3627: 3625: 3622: 3620: 3617: 3616: 3614: 3610: 3604: 3601: 3599: 3596: 3594: 3591: 3589: 3586: 3584: 3581: 3579: 3576: 3574: 3571: 3569: 3566: 3564: 3561: 3559: 3556: 3554: 3551: 3549: 3546: 3544: 3541: 3538: 3536: 3530: 3528: 3524: 3522: 3519: 3517: 3514: 3512: 3509: 3507: 3504: 3502: 3499: 3498: 3496: 3493: 3489: 3483: 3480: 3478: 3475: 3473: 3470: 3468: 3465: 3463: 3460: 3458: 3455: 3453: 3450: 3448: 3445: 3444: 3442: 3440: 3436: 3430: 3427: 3425: 3424:van Emde Boas 3422: 3420: 3417: 3415: 3414:Skew binomial 3412: 3410: 3407: 3405: 3402: 3400: 3397: 3395: 3393: 3389: 3387: 3384: 3382: 3379: 3377: 3374: 3373: 3371: 3369: 3365: 3359: 3356: 3354: 3351: 3349: 3346: 3344: 3341: 3339: 3336: 3334: 3331: 3329: 3325: 3321: 3319: 3316: 3314: 3311: 3309: 3306: 3304: 3301: 3299: 3296: 3294: 3293:Binary search 3290: 3286: 3284: 3281: 3279: 3276: 3274: 3271: 3269: 3266: 3264: 3261: 3259: 3256: 3254: 3251: 3249: 3246: 3244: 3241: 3240: 3238: 3235: 3231: 3226: 3222: 3218: 3211: 3206: 3204: 3199: 3197: 3192: 3191: 3188: 3180: 3174: 3170: 3165: 3162: 3159: 3156: 3153: 3152: 3148: 3134:on 2012-12-03 3130: 3125: 3120: 3113: 3112: 3104: 3101: 3096: 3094:0-471-46983-1 3090: 3086: 3082: 3078: 3072: 3069: 3064: 3057: 3053: 3047: 3044: 3039: 3033: 3029: 3025: 3020: 3015: 3008: 3007: 3002: 2998: 2992: 2989: 2984: 2980: 2975: 2970: 2966: 2962: 2961: 2953: 2950:(July 1987). 2949: 2945: 2939: 2936: 2931: 2927: 2923: 2919: 2912: 2908: 2901: 2898: 2893: 2891:0-7695-2468-0 2887: 2883: 2879: 2874: 2869: 2862: 2861: 2853: 2850: 2845: 2841: 2837: 2833: 2832: 2824: 2821:(July 1999). 2820: 2814: 2811: 2807: 2805:3-540-67690-2 2801: 2797: 2793: 2788: 2783: 2778: 2773: 2766: 2765: 2760: 2754: 2751: 2743: 2742: 2737: 2731: 2728: 2723: 2721:9780521631242 2717: 2713: 2709: 2703: 2700: 2695: 2690: 2686: 2682: 2675: 2673: 2669: 2658: 2657:brilliant.org 2654: 2648: 2645: 2634:on 2016-02-05 2630: 2626: 2622: 2617: 2612: 2608: 2604: 2603:J. Algorithms 2597: 2590: 2587: 2582: 2576: 2572: 2568: 2564: 2560: 2554: 2552: 2548: 2543: 2539: 2535: 2531: 2526: 2521: 2517: 2513: 2512: 2507: 2503: 2499: 2493: 2491: 2489: 2485: 2480: 2478:0-262-03141-8 2474: 2470: 2469: 2464: 2460: 2456: 2450: 2448: 2446: 2444: 2440: 2435: 2431: 2427: 2423: 2416: 2413: 2410: 2404: 2401: 2398: 2397:heapq.heappop 2392: 2389: 2386: 2380: 2377: 2373: 2369: 2365: 2361: 2360: 2355: 2349: 2346: 2341: 2335: 2331: 2324: 2321: 2317: 2313: 2309: 2308: 2303: 2297: 2294: 2287: 2282: 2279: 2277: 2274: 2272: 2269: 2267: 2264: 2262: 2259: 2257: 2254: 2253: 2249: 2244: 2243:PriorityQueue 2240: 2237: 2230: 2224: 2220: 2217: 2214: 2211: 2205: 2201: 2198: 2192: 2188: 2185: 2181: 2175: 2172: 2161: 2158: 2155: 2149: 2146: 2143: 2138: 2133: 2129: 2126: 2121:there is the 2120: 2116: 2113: 2110:std.algorithm 2102: 2094: 2090: 2086: 2080: 2076: 2073: 2069: 2065: 2061: 2057: 2053: 2050: 2046: 2042: 2035: 2020:provides the 2019: 2015: 2014: 2010: 2005: 2002: 1999: 1996: 1993: 1989: 1985: 1982: 1979: 1976: 1973: 1970: 1969: 1968: 1962: 1954: 1950: 1944: 1942: 1938: 1923: 1913: 1910: 1907: 1904: 1901: 1896: 1892: 1885: 1865: 1859: 1856: 1853: 1850: 1847: 1831: 1828: 1824: 1820: 1816: 1812: 1808: 1804: 1800: 1796: 1792: 1788: 1784: 1780: 1776: 1770: 1768: 1766: 1762: 1758: 1754: 1750: 1746: 1742: 1738: 1734: 1730: 1726: 1721: 1718: 1714: 1695: 1692: 1689: 1686: 1680: 1677: 1671: 1665: 1662: 1656: 1653: 1650: 1644: 1641: 1621: 1618: 1615: 1595: 1592: 1586: 1583: 1580: 1574: 1571: 1567: 1563: 1560: 1557: 1534: 1531: 1528: 1522: 1517: 1512: 1509: 1506: 1502: 1493: 1487: 1484: 1475: 1471: 1468: 1465: 1462: 1459: 1456: 1453: 1450: 1447: 1443: 1440: 1437: 1434: 1432: 1429: 1428: 1424: 1420: 1417: 1414: 1411: 1408: 1405: 1402: 1399: 1396: 1392: 1389: 1386: 1383: 1381: 1378: 1377: 1373: 1369: 1366: 1363: 1360: 1357: 1354: 1348: 1345: 1339: 1335: 1332: 1329: 1326: 1324: 1321: 1320: 1316: 1312: 1309: 1306: 1303: 1300: 1297: 1291: 1288: 1282: 1278: 1275: 1272: 1269: 1267: 1264: 1263: 1259: 1255: 1252: 1249: 1246: 1243: 1240: 1234: 1230: 1227: 1221: 1217: 1214: 1211: 1208: 1206: 1203: 1202: 1195: 1191: 1188: 1182: 1179: 1173: 1170: 1164: 1160: 1157: 1151: 1147: 1144: 1141: 1138: 1136: 1133: 1132: 1128: 1124: 1121: 1118: 1114: 1111: 1105: 1102: 1099: 1096: 1090: 1086: 1083: 1080: 1077: 1075: 1072: 1071: 1067: 1063: 1060: 1057: 1053: 1050: 1047: 1044: 1041: 1037: 1034: 1031: 1027: 1024: 1021: 1018: 1016: 1015:Skew binomial 1013: 1012: 1008: 1004: 1001: 998: 994: 991: 985: 982: 979: 975: 972: 969: 965: 962: 959: 956: 954: 951: 950: 946: 942: 939: 936: 932: 929: 926: 922: 919: 916: 912: 909: 906: 902: 899: 896: 893: 891: 888: 887: 880: 876: 873: 867: 863: 860: 854: 850: 847: 841: 837: 834: 828: 824: 821: 818: 815: 813: 810: 809: 805: 801: 798: 795: 791: 788: 785: 781: 778: 775: 771: 768: 765: 761: 758: 755: 752: 750: 747: 746: 742: 739: 736: 734:increase-key 733: 730: 727: 724: 723: 720: 718: 714: 710: 706: 702: 694: 686: 681: 678: 676: 673: 671: 668: 666: 663: 661: 658: 656: 653: 651: 648: 646: 643: 641: 638: 636: 633: 631: 628: 626: 623: 621: 618: 616: 613: 611: 608: 606: 604: 600: 598: 595: 593: 592:Binomial heap 590: 588: 585: 583: 580: 578: 575: 573: 570: 569: 564: 562: 560: 556: 549: 545: 541: 534: 530: 523: 519: 512: 508: 504: 500: 492: 488: 485: 482: 478: 475: 472: 468: 465: 464: 463: 460: 457: 455: 449: 445: 425: 422: 419: 416: 392: 389: 386: 383: 369: 360: 353: 349: 346: 345: 344: 342: 334: 329: 326: 323: 319: 316: 313: 310: 307: 303: 300: 299: 295: 294: 290: 287: 284: 281: 280: 276: 275: 271: 268: 265: 261: 258: 255: 252: 249: 246: 245: 241: 240: 236: 233: 230: 226: 223: 220: 216: 212: 209: 206: 202: 199: 196: 195: 190: 186: 183: 182: 178: 177: 176: 170: 168: 166: 160: 158: 154: 149: 147: 143: 138: 134: 130: 126: 122: 118: 114: 110: 105: 103: 99: 94: 92: 88: 84: 80: 76: 72: 68: 67:heap property 64: 60: 56: 52: 44: 41:Example of a 39: 33: 19: 3976: 3839:Disjoint-set 3534: 3526: 3391: 3367: 3324:Left-leaning 3230:dynamic sets 3225:Search trees 3168: 3136:, retrieved 3129:the original 3110: 3103: 3084: 3071: 3062: 3046: 3005: 2991: 2964: 2958: 2938: 2921: 2917: 2900: 2859: 2852: 2835: 2829: 2813: 2763: 2759:Iacono, John 2753: 2747:, p. 12 2740: 2730: 2711: 2702: 2684: 2680: 2660:. Retrieved 2656: 2647: 2636:. Retrieved 2629:the original 2606: 2602: 2589: 2562: 2518:(1): 52–69. 2515: 2509: 2467: 2425: 2421: 2415: 2403: 2391: 2379: 2363: 2357: 2348: 2329: 2323: 2305: 2301: 2296: 2209:CFBinaryHeap 2048: 1966: 1963:Applications 1953:increase-key 1952: 1830: 1822: 1818: 1814: 1810: 1806: 1802: 1798: 1794: 1790: 1786: 1782: 1779:increase-key 1778: 1756: 1752: 1748: 1744: 1740: 1736: 1732: 1728: 1724: 1720: 1491: 1486: 1473: 1469: 1463: 1457: 1451: 1445: 1441: 1435: 1422: 1418: 1412: 1406: 1400: 1394: 1390: 1384: 1371: 1367: 1361: 1355: 1346: 1337: 1333: 1327: 1314: 1310: 1304: 1298: 1289: 1280: 1276: 1270: 1266:Rank-pairing 1257: 1253: 1247: 1241: 1232: 1228: 1219: 1215: 1209: 1193: 1189: 1180: 1171: 1162: 1158: 1149: 1145: 1139: 1126: 1122: 1116: 1112: 1103: 1097: 1088: 1084: 1078: 1065: 1061: 1055: 1051: 1045: 1039: 1035: 1029: 1025: 1019: 1006: 1002: 996: 992: 983: 977: 973: 967: 963: 957: 944: 940: 934: 930: 924: 920: 914: 910: 904: 900: 894: 878: 874: 865: 861: 852: 848: 839: 835: 826: 822: 816: 803: 799: 793: 789: 783: 779: 773: 769: 763: 759: 753: 712: 708: 704: 700: 690: 670:Ternary heap 645:Pairing heap 640:Min-max heap 625:Leftist heap 602: 597:Brodal queue 558: 554: 547: 543: 539: 532: 528: 521: 517: 510: 506: 498: 496: 490: 487:Replacement: 486: 480: 476: 470: 466: 461: 458: 450: 443: 365: 338: 327: 317: 311: 306:decrease-key 305: 302:increase-key 301: 288: 282: 269: 263: 259: 253: 247: 234: 228: 224: 218: 214: 210: 204: 200: 192: 188: 184: 174: 161: 150: 145: 141: 136: 132: 106: 95: 90: 86: 82: 78: 70: 66: 54: 48: 3982:Binary heap 3907:Linked list 3624:Exponential 3612:Other trees 3161:Explanation 2609:: 126–153. 2233:collections 2099:exposes an 2054:There is a 2004:K-way merge 1785:to that of 731:delete-max 587:Binary heap 477:Extraction: 368:binary heap 248:create-heap 215:extract-min 211:extract-max 165:Radix trees 109:binary heap 3970:Splay tree 3874:Hash table 3755:Collection 3568:Priority R 3318:Palindrome 3178:0201657880 3138:2010-10-31 2662:2019-09-30 2638:2016-01-28 2288:References 2228:BinaryHeap 2212:structure. 2168:SplMinHeap 2164:SplMaxHeap 2097:BinaryHeap 2068:D-ary heap 1949:persistent 1821:(log  1815:delete-max 1813:is) while 1795:delete-max 1791:delete-max 1775:persistent 1747:(log  1444:(log  1393:(log  1336:(log  1279:(log  1231:(log  1218:(log  1161:(log  1148:(log  1115:(log  1087:(log  1054:(log  1038:(log  1028:(log  995:(log  976:(log  966:(log  933:(log  923:(log  913:(log  903:(log  864:(log  851:(log  838:(log  825:(log  782:(log  772:(log  762:(log  743:make-heap 725:Operation 650:Radix heap 467:Insertion: 277:Inspection 229:delete-min 225:delete-max 171:Operations 135:nodes and 4026:Hash tree 3912:Skip list 3859:Bit array 3760:Container 3654:iDistance 3533:implicit 3521:Hilbert R 3516:Cartesian 3399:Fibonacci 3333:Scapegoat 3328:Red–black 3014:CiteSeerX 2969:CiteSeerX 2868:CiteSeerX 2782:CiteSeerX 2777:1110.4428 2611:CiteSeerX 2542:0097-5397 2520:CiteSeerX 2231:, in the 2124:Data.Heap 2081:includes 2034:iterators 2026:push_heap 2022:make_heap 1911:⁡ 1905:⁡ 1857:⁡ 1851:⁡ 1842:Ω 1725:make-heap 1693:⁡ 1663:− 1654:⁡ 1593:− 1584:⁡ 1561:⁡ 1532:⁡ 1503:∑ 1323:Fibonacci 728:find-max 691:Here are 680:Weak heap 665:Soft heap 660:Skew heap 620:Leaf heap 605:-ary heap 328:sift-down 100:called a 4084:Category 3955:AVL tree 3834:Multiset 3783:Multimap 3770:Abstract 3669:Link/cut 3381:Binomial 3308:Interval 3054:(1996), 3003:(2012). 2738:(1999), 2465:(1990). 2250:See also 2202:Apple's 2030:pop_heap 1972:Heapsort 1743:runs in 1550:. Since 1074:2–3 heap 953:Binomial 707:)" and " 615:K-D Heap 572:2–3 heap 565:Variants 454:heapsort 296:Internal 289:is-empty 242:Creation 189:find-min 185:find-max 148:height. 127:such as 121:heapsort 113:complete 87:min heap 71:max heap 4009:R+ tree 4004:R* tree 3950:AA tree 3629:Fenwick 3593:Segment 3492:Spatial 3409:Pairing 3404:Leftist 3326:)  3298:Dancing 3291:)  3289:Optimal 2140:in the 2127:module. 2119:Haskell 2112:package 2105:foreach 1805:run in 1205:Pairing 890:Leftist 737:insert 715:)" see 438:⁠ 409:⁠ 405:⁠ 376:⁠ 318:sift-up 254:heapify 235:replace 69:: In a 61:-based 4038:Graphs 3999:R-tree 3940:B-tree 3894:Linked 3851:Arrays 3679:Merkle 3644:Fusion 3634:Finger 3558:Octree 3548:Metric 3482:Y-fast 3477:X-fast 3467:Suffix 3386:Brodal 3376:Binary 3175:  3091:  3034:  3016:  2971:  2888:  2870:  2802:  2784:  2718:  2613:  2577:  2540:  2522:  2475:  2336:  2150:has a 2148:Python 2089:ranges 2072:B-heap 1811:insert 1787:insert 1431:Brodal 749:Binary 577:B-heap 446:−1)/2⌋ 366:For a 312:delete 201:insert 93:node. 43:binary 3932:Trees 3805:Queue 3800:Stack 3748:Types 3689:Range 3659:K-ary 3619:Cover 3462:Radix 3447:Ctrie 3439:Tries 3368:Heaps 3348:Treap 3338:Splay 3303:HTree 3258:(a,b) 3248:2–3–4 3132:(PDF) 3115:(PDF) 3059:(PDF) 3010:(PDF) 2955:(PDF) 2914:(PDF) 2864:(PDF) 2826:(PDF) 2772:arXiv 2768:(PDF) 2745:(PDF) 2632:(PDF) 2599:(PDF) 2281:Treap 2216:Pharo 2153:heapq 2066:with 740:meld 675:Treap 341:array 322:sieve 264:union 260:merge 179:Basic 83:value 81:(the 57:is a 4021:Trie 3977:Heap 3795:List 3694:SPQR 3573:Quad 3501:Ball 3457:Hash 3429:Weak 3419:Skew 3394:-ary 3173:ISBN 3155:Heap 3089:ISBN 3032:ISBN 2886:ISBN 2800:ISBN 2716:ISBN 2575:ISBN 2538:ISSN 2473:ISBN 2334:ISBN 2302:heap 2241:has 2239:.NET 2223:Rust 2221:The 2196:heap 2189:The 2184:CPAN 2179:Heap 2174:Perl 2132:Java 2130:The 2117:For 2070:and 2062:and 2058:for 2043:The 2028:and 2016:The 1990:and 1803:meld 1799:meld 1797:and 1783:meld 1773:For 1741:meld 1466:(1) 1460:(1) 1454:(1) 1438:(1) 1415:(1) 1409:(1) 1403:(1) 1387:(1) 1364:(1) 1358:(1) 1349:(1) 1330:(1) 1307:(1) 1301:(1) 1292:(1) 1273:(1) 1250:(1) 1244:(1) 1212:(1) 1183:(1) 1174:(1) 1142:(1) 1106:(1) 1100:(1) 1081:(1) 1048:(1) 1022:(1) 986:(1) 960:(1) 897:(1) 819:(1) 812:Skew 756:(1) 582:Beap 546:and 520:) − 481:sink 471:swim 407:and 283:size 270:meld 227:(or 213:(or 205:push 194:peek 187:(or 91:root 75:node 59:tree 55:heap 53:, a 3829:Set 3699:Top 3553:MVP 3511:BSP 3263:AVL 3243:2–3 3119:doi 3024:doi 2979:doi 2926:doi 2878:doi 2840:doi 2792:doi 2689:doi 2621:doi 2567:doi 2530:doi 2430:doi 2426:120 2368:doi 2304:in 2160:PHP 2064:C++ 1908:log 1902:log 1854:log 1848:log 1690:log 1651:log 1581:log 1558:log 1529:log 1351:am. 1342:am. 1294:am. 1285:am. 1237:am. 1224:am. 1198:am. 1185:am. 1176:am. 1167:am. 1154:am. 1108:am. 1093:am. 988:am. 883:am. 870:am. 857:am. 844:am. 831:am. 697:am. 509:− 2 491:new 304:or 219:pop 79:key 49:In 4086:: 3684:PQ 3598:VP 3588:R* 3583:R+ 3563:PH 3537:-d 3529:-d 3506:BK 3353:UB 3278:B* 3273:B+ 3253:AA 3079:; 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Index

Heap (computer science)
C dynamic memory allocation

binary
computer science
tree
data structure
node
abstract data type
priority queue
binary heap
complete
J. W. J. Williams
heapsort
graph algorithms
Dijkstra's algorithm
in-order traversal
binary search tree
Radix trees
peek
sieve
array
defined implicitly

binary heap
heapsort
Floyd algorithm
2–3 heap
B-heap
Beap

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