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Game complexity
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Combinatorial game theory measures game complexity in several ways: State-space complexity (the number of legal game positions from the initial position) GameState space (computer science) (933 words) [view diff] no match in snippet view article
In computer science, a state space is a discrete space representing the set of all possible configurations of a system. It is a useful abstraction forNondeterministic algorithm (382 words) [view diff] exact match in snippet view article find links to article
complexity classes based on nondeterministic time and nondeterministic space complexity. They may be simulated using nondeterministic programming, a methodPainter's algorithm (1,467 words) [view diff] no match in snippet view article find links to article
number of pixels to be filled. The painter's algorithm's worst-case space-complexity is O(n+m), where n is the number of polygons and m is the number ofEXPTIME (1,220 words) [view diff] exact match in snippet view article find links to article
machine in polynomial space. EXPTIME relates to the other basic time and space complexity classes in the following way: P ⊆ NP ⊆ PSPACE ⊆ EXPTIME ⊆ NEXPTIMENeil Immerman (332 words) [view diff] exact match in snippet view article find links to article
the Immerman–Szelepcsényi theorem, the result that nondeterministic space complexity classes are closed under complementation. Immerman is an ACM FellowTop-down parsing (1,368 words) [view diff] exact match in snippet view article find links to article
the number and contents of each stack, thereby reducing the time and space complexity of the parser. This leads to an algorithm known as Generalized LL parsingSolving chess (1,542 words) [view diff] exact match in snippet view article find links to article
least weakly. Calculated estimates of game-tree complexity and state-space complexity of chess exist which provide a bird's eye view of the computationalImmerman–Szelepcsényi theorem (1,272 words) [view diff] exact match in snippet view article find links to article
theory, the Immerman–Szelepcsényi theorem states that nondeterministic space complexity classes are closed under complementation. It was proven independentlyDSPACE (1,047 words) [view diff] exact match in snippet view article find links to article
traditionally measured on a deterministic Turing machine. Several important space complexity classes are sublinear, that is, smaller than the size of the inputBest, worst and average case (1,273 words) [view diff] exact match in snippet view article find links to article
when implemented with the "shortest first" policy, the worst-case space complexity is instead bounded by O(log(n)). Heapsort has O(n) time when all elementsTeknomo–Fernandez algorithm (1,258 words) [view diff] exact match in snippet view article find links to article
fact that L {\displaystyle L} will probably not exceed 6 reduces the space complexity to O ( R F ) {\displaystyle O(RF)} . The entire algorithm runs in OSchreier vector (520 words) [view diff] exact match in snippet view article find links to article
group theory, a Schreier vector is a tool for reducing the time and space complexity required to calculate orbits of a permutation group. Suppose G is aNESL (263 words) [view diff] exact match in snippet view article find links to article
flattening transform, however, can increase the asymptotic work and space complexity of the original program, leading to a much less efficient result. NESLNoga Alon (1,336 words) [view diff] exact match in snippet view article find links to article
S2CID 208936467. Alon, Noga; Matias, Yossi; Szegedy, Mario (1999). "The space complexity of approximating the frequency moments". Journal of Computer and SystemSpace hierarchy theorem (2,784 words) [view diff] exact match in snippet view article find links to article
The hierarchy theorems are used to demonstrate that the time and space complexity classes form a hierarchy where classes with tighter bounds containFanorona (823 words) [view diff] exact match in snippet view article find links to article
complexity and state-space complexity can be computed. Fanorona has a game-tree complexity of ~1046 and a state-space complexity of ~1021. In 2007, thePotential method (1,799 words) [view diff] exact match in snippet view article find links to article
potential method is a method used to analyze the amortized time and space complexity of a data structure, a measure of its performance over sequences ofYen's algorithm (2,179 words) [view diff] no match in snippet view article find links to article
In graph theory, Yen's algorithm computes single-source K-shortest loopless paths for a graph with non-negative edge cost. The algorithm was publishedConnect6 (1,275 words) [view diff] exact match in snippet view article find links to article
the number of unoccupied spaces before a move. However, the state-space complexity is largely unchanged, since any legal position in one game will alsoGödel Prize (2,163 words) [view diff] exact match in snippet view article find links to article
1137/S0097539796307698 Alon, Noga; Matias, Yossi; Szegedy, Mario (1999), "The space complexity of approximating the frequency moments" (PDF), Journal of ComputerStreaming algorithm (3,608 words) [view diff] exact match in snippet view article find links to article
be the S 1 ∗ S 2 {\displaystyle S_{1}*S_{2}} . Hence the total space complexity the algorithm takes is of the order of O ( k log 1 ε λ 2 n 1 − 1CURE algorithm (788 words) [view diff] exact match in snippet view article find links to article
) {\displaystyle O(n^{2}\log n)} , making it rather expensive, and space complexity is O ( n ) {\displaystyle O(n)} . The algorithm cannot be directlyM-ary tree (2,762 words) [view diff] exact match in snippet view article find links to article
locality of reference, particularly during a preorder traversal. The space complexity of this method is O ( m n ) {\displaystyle O(m^{n})} . Each node wouldJuris Hartmanis (2,513 words) [view diff] exact match in snippet view article find links to article
has deterministic space complexity (log n)2, which contained the essential idea that led to Savitch's theorem on space complexity. Hartmanis continuedSweep line algorithm (513 words) [view diff] exact match in snippet view article find links to article
N segments in the plane in time complexity of O((N + K) log N) and space complexity of O(N). Since then, this approach has been used to design efficientList of terms relating to algorithms and data structures (3,135 words) [view diff] exact match in snippet view article find links to article
asymptotically tight bound asymptotic bound asymptotic lower bound asymptotic space complexity asymptotic time complexity asymptotic upper bound augmenting path automatonComplexity (4,498 words) [view diff] exact match in snippet view article find links to article
(usually measured in bits), using the most efficient algorithm, and the space complexity of a problem equal to the volume of the memory used by the algorithmSkolem arithmetic (1,957 words) [view diff] exact match in snippet view article find links to article
powers of theories. They apply this method to obtain triply exponential space complexity for ( N ∗ , + ¯ ) {\displaystyle (N^{*},{\bar {+}})} , and thus ofRun-length encoding (1,340 words) [view diff] exact match in snippet view article find links to article
primarily white space, with occasional interruptions of black. RLE has a space complexity of O ( n ) {\displaystyle O(n)} , where n is the size of the inputCounting points on elliptic curves (2,454 words) [view diff] exact match in snippet view article find links to article
{\displaystyle M(n)} denotes the complexity of integer multiplication. Its space complexity is O ( n 3 ) {\displaystyle O(n^{3})} . In the 1990s, Noam Elkies,Nearest neighbor search (3,341 words) [view diff] exact match in snippet view article find links to article
algorithms are determined by the time complexity of queries as well as the space complexity of any search data structures that must be maintained. The informalApriori algorithm (1,316 words) [view diff] exact match in snippet view article find links to article
the database is permanently in the memory. Also, both the time and space complexity of this algorithm are very high: O ( 2 | D | ) {\displaystyle O\left(2^{|D|}\right)}Kendall rank correlation coefficient (5,437 words) [view diff] exact match in snippet view article find links to article
These algorithms have O ( 1 ) {\displaystyle O(1)} update time and space complexity, scaling efficiently with the number of observations. ConsequentlyCook–Levin theorem (2,354 words) [view diff] exact match in snippet view article find links to article
to encode computation with a Turing machine limited to polynomial space complexity, proving that there exists a problem (the recognition of true quantifiedBaby-step giant-step (1,061 words) [view diff] exact match in snippet view article find links to article
does not slow down the overall baby-step giant-step algorithm. The space complexity of the algorithm is O ( n ) {\displaystyle O({\sqrt {n}})} , whileReductionism (3,263 words) [view diff] no match in snippet view article find links to article
reduction, but also in the realm of real-world computation in time (or space) complexity analysis of algorithms, where it assumes the form of e.g. polynomial-timeReef Ball Foundation (1,256 words) [view diff] no match in snippet view article find links to article
ISSN 1675-5820. Sherman, RL (2002). "Artificial reef design: void space, complexity, and attractants" (PDF). ICES Journal of Marine Science. 59. InternationalDifferentiable neural computer (801 words) [view diff] exact match in snippet view article find links to article
Refinements include sparse memory addressing, which reduces time and space complexity by thousands of times. This can be achieved by using an approximateNL-complete (659 words) [view diff] exact match in snippet view article find links to article
Addison-Wesley. ISBN 0-201-53082-1. Rytter, Wojciech (1986), "The space complexity of the unique decipherability problem", Information Processing LettersIterated logarithm (746 words) [view diff] exact match in snippet view article find links to article
algorithms and computational complexity, appearing in the time and space complexity bounds of some algorithms such as: Finding the Delaunay triangulationSieve of Eratosthenes (3,043 words) [view diff] exact match in snippet view article find links to article
{\displaystyle (k\Delta +1)^{2}>(k+1)\Delta } . If Δ is chosen to be √n, the space complexity of the algorithm is O(√n), while the time complexity is the same asUniversal Turing machine (2,963 words) [view diff] no match in snippet view article find links to article
using Donald Knuth's Big O notation. The corresponding result for space-complexity rather than time-complexity is that we can simulate in a way that usesCognitive strategy (405 words) [view diff] exact match in snippet view article find links to article
may have very different characteristics in terms of their time and space complexity, memory requirements, etc., and therefore in terms of their error characteristicsAppend (717 words) [view diff] exact match in snippet view article find links to article
completely copy all of its arguments except the last, both its time and space complexity are O(n) for a list of n {\displaystyle n} elements. It may thus beDirector string (675 words) [view diff] exact match in snippet view article find links to article
time complexity of finding the free variables in t is traded for the space complexity of maintaining a list of the terms in which a variable occurs. AlthoughArray (data structure) (3,412 words) [view diff] exact match in snippet view article
data structures), requiring little space overhead, but may have poor space complexity, particularly when modified, compared to tree-based data structuresRope (data structure) (1,787 words) [view diff] exact match in snippet view article
structure has stable performance regardless of data size. Further, the space complexity for ropes and arrays are both O(n). In summary, ropes are preferableYossi Matias (960 words) [view diff] case mismatch in snippet view article find links to article
Award". Alon, Noga; Matias, Yossi; Szegedy, Mario (1999-02-01). "The Space Complexity of Approximating the Frequency Moments". Journal of Computer and SystemParsing (4,881 words) [view diff] exact match in snippet view article find links to article
direct and indirect left-recursion and may require exponential time and space complexity while parsing ambiguous context-free grammars, more sophisticated algorithmsTic-tac-toe (4,430 words) [view diff] exact match in snippet view article find links to article
or to enumerate the 765 essentially different positions (the state space complexity) or the 26,830 possible games up to rotations and reflections (theSpeck (cipher) (2,411 words) [view diff] exact match in snippet view article
attack model) Variant Rounds attacked Time complexity Data complexity Space complexity Attack type Speck128/256 25/34 (74%) 2253.35 2125.35 222 differentialAdvanced Encryption Standard (5,675 words) [view diff] exact match in snippet view article find links to article
computers on the planet in 2016. A paper in 2015 later improved the space complexity to 256 bits, which is 9007 terabytes (while still keeping a time complexitySpace–time tradeoff (748 words) [view diff] exact match in snippet view article find links to article
Savitch's theorem – Relation between deterministic and nondeterministic space complexity Hellman, Martin (July 1980). "A Cryptanalytic Time-Memory Tradeoff"Graph canonization (1,112 words) [view diff] exact match in snippet view article find links to article
MR 2475148. Arvind, V.; Das, Bireswar; Köbler, Johannes (2007), "The space complexity of k-tree isomorphism", Algorithms and Computation: 18th InternationalBentley–Ottmann algorithm (3,312 words) [view diff] exact match in snippet view article find links to article
priority queues such as a Fibonacci heap are not necessary. Note that the space complexity of the priority queue depends on the data structure used to implementMemory-hard function (825 words) [view diff] case mismatch in snippet view article find links to article
Joel; Blocki, Jeremiah; Pietrzak, Krzysztof (2017-07-07). "Sustained Space Complexity". arXiv:1705.05313 [cs.CR]. Blocki, Jeremiah; Liu, Peiyuan; Ren, Ling;Real RAM (826 words) [view diff] exact match in snippet view article find links to article
basic unit of computation involves one bit. Therefore, the time and space complexity of numeric algorithms depends on the number of bits needed to representDijkstra's algorithm (5,637 words) [view diff] exact match in snippet view article find links to article
per node is bounded by b, then the algorithm's worst-case time and space complexity are both in O(b1+⌊C* ⁄ ε⌋). Further optimizations for the single-targetReal closed field (2,984 words) [view diff] exact match in snippet view article find links to article
big Omega notation. This shows that both the time complexity and the space complexity of quantifier elimination are intrinsically double exponential. ForMonoque (211 words) [view diff] exact match in snippet view article find links to article
any particular machine the block list is O(1) in size and is an upper bound to O(lg(N)), it bounds the space complexity of the structure by a constant.Hierarchical clustering (3,530 words) [view diff] exact match in snippet view article find links to article
datasets, limiting its scalability . (b) Scalability: Due to the time and space complexity, hierarchical clustering algorithms struggle to handle very large datasetsPackage-merge algorithm (828 words) [view diff] exact match in snippet view article find links to article
Methods involving graph theory have been shown to have better asymptotic space complexity than the package-merge algorithm, but these have not seen as much practicalDavid Mount (1,043 words) [view diff] exact match in snippet view article find links to article
} , and forms a data structure that can be stored efficiently (low space complexity) and that returns the ( 1 + ϵ ) {\displaystyle (1+\epsilon )} -approximateBQP (3,518 words) [view diff] exact match in snippet view article find links to article
We will show in the following section that we can improve upon the space complexity. Sum of histories is a technique introduced by physicist Richard FeynmanTarjan's strongly connected components algorithm (1,711 words) [view diff] case mismatch in snippet view article find links to article
it is on the stack, and performing this test by examining the flag. Space Complexity: The Tarjan procedure requires two words of supplementary data perSingle-linkage clustering (2,496 words) [view diff] exact match in snippet view article find links to article
algorithm with time complexity O ( n 2 ) {\displaystyle O(n^{2})} and space complexity O ( n ) {\displaystyle O(n)} (both optimal) known as SLINK. The slinkUse-define chain (1,413 words) [view diff] exact match in snippet view article find links to article
simple but powerful concept: theoretical and practical results in space complexity theory, access complexity(I/O complexity), register allocation andViliam Geffert (313 words) [view diff] exact match in snippet view article find links to article
University, Comenius University Known for state complexity, small-space complexity Scientific career Fields Automata theory, computational complexityGiovanni Pighizzini (358 words) [view diff] exact match in snippet view article find links to article
to the computational complexity theory by results on sublogarithmic space complexity classes and on the complexity of searching for a lexicographicallyQuantile (3,228 words) [view diff] exact match in snippet view article find links to article
statistics based algorithms typically have constant update time and space complexity, but have different error bound guarantees compared to computer scienceSequence assembly (2,944 words) [view diff] exact match in snippet view article find links to article
(known as repeats) which can, in the worst case, increase the time and space complexity of algorithms quadratically; DNA read errors in the fragments fromCompressed cover tree (1,320 words) [view diff] exact match in snippet view article find links to article
Name of datastructure, source Claimed time complexity Claimed space complexity Proof of result Navigating nets O ( 2 O ( dim ) ⋅ | R | ⋅ log ( Δ ( RPersistent array (1,571 words) [view diff] exact match in snippet view article find links to article
The following theorem shows that under mild assumptions about the space complexity of the array, lookups must take Ω ( log log n ) {\displaystyleHunt–Szymanski algorithm (972 words) [view diff] exact match in snippet view article find links to article
algorithm to have a worst-case time complexity of O(mn log m) and space complexity of O(mn), though it regularly beats the worst case with typical inputsGo (game) (16,260 words) [view diff] exact match in snippet view article
can be difficult to estimate. The number of legal positions (state-space complexity) for chess has been estimated at anywhere between 1043 and 1050; inSorting algorithm (6,537 words) [view diff] exact match in snippet view article find links to article
sequential access, not random access. However, it has additional O(n) space complexity and involves a large number of copies in simple implementations. MergeRooted graph (1,821 words) [view diff] exact match in snippet view article find links to article
graph is important in the study of game complexity, where the state-space complexity is the number of vertices in the graph. The number of rooted undirectedOptimal binary search tree (2,965 words) [view diff] exact match in snippet view article find links to article
binary search trees was necessary since Knuth's algorithm time and space complexity can be prohibitive when n {\displaystyle n} is substantially largeDistance matrix (4,098 words) [view diff] exact match in snippet view article find links to article
calculations done after every cluster to update the distance matrix Space complexity is O ( N 2 ) {\displaystyle O(N^{2})} Distance metrics are a key partPriority queue (5,009 words) [view diff] no match in snippet view article find links to article
structures, such as with third-party or standard libraries. From a space-complexity standpoint, using self-balancing binary search tree with linked listS/KEY (1,298 words) [view diff] exact match in snippet view article find links to article
264, which can be pre-calculated with the same amount of space. The space complexity can be optimized by storing chains of values, although collisions mightLambda calculus (11,994 words) [view diff] exact match in snippet view article find links to article
during reduction. It is not currently known what a good measure of space complexity would be. An unreasonable model does not necessarily mean inefficientSardinas–Patterson algorithm (1,375 words) [view diff] exact match in snippet view article find links to article
doi:10.1016/0020-0190(84)90020-6.. Rytter, Wojciech (1986). "The space complexity of the unique decipherability problem". Information Processing LettersSuffix array (3,775 words) [view diff] exact match in snippet view article find links to article
initial positions of the suffixes are stored in the array to reduce the space complexity since the suffixes are too large. lcp array lcp[1,...n]: It is an arrayMultiple sequence alignment (6,213 words) [view diff] exact match in snippet view article find links to article
that by using decision diagrams, MSA may be modeled in polynomial space complexity. The most widely used approach to multiple sequence alignments usesSpatial verification (642 words) [view diff] case mismatch in snippet view article find links to article
uncertainty in the model space Represent uncertainty in the image space Complexity Lineal complexity in the number of correspondences and the number ofAssociation rule learning (6,709 words) [view diff] exact match in snippet view article find links to article
Furthermore it will almost certainly use less memory as DFS has a lower space complexity than BFS. To illustrate this, let there be a frequent itemset {a, bLog-space reduction (1,358 words) [view diff] exact match in snippet view article find links to article
( n ) {\displaystyle f(n)} is equivalent to a Turing machine with space complexity O ( log f ( n ) ) {\displaystyle O(\log f(n))} . The most importantKnapsack problem (7,799 words) [view diff] exact match in snippet view article find links to article
n / 2 ) {\displaystyle O^{*}(2^{n/2})} time with a slightly worse space complexity of O ∗ ( 2 n / 4 ) {\displaystyle O^{*}(2^{n/4})} . As for most NP-completeTrachtenberg system (6,356 words) [view diff] exact match in snippet view article find links to article
to achieve multiplications a × b {\displaystyle a\times b} with low space complexity, i.e. as few temporary results as possible to be kept in memory. ThisFisher–Yates shuffle (5,222 words) [view diff] exact match in snippet view article find links to article
merge recursively to give the shuffled array. The asymptotic time and space complexity of the Fisher–Yates shuffle are optimal. Combined with a high-qualityHex (board game) (4,408 words) [view diff] exact match in snippet view article
positions on a board of a particular size. In 11×11 Hex, the state space complexity is approximately 2.4×1056; versus 4.6×1046 for chess. The game treeHeld–Karp algorithm (2,164 words) [view diff] exact match in snippet view article find links to article
length of the shortest cycle is needed, not the cycle itself, then space complexity can be improved somewhat by noting that calculating g ( S , e ) {\displaystyleTime hierarchy theorem (2,497 words) [view diff] exact match in snippet view article find links to article
relate deterministic and non-deterministic complexity, or time and space complexity, so they cast no light on the great unsolved questions of computationalMaximum subarray problem (2,467 words) [view diff] exact match in snippet view article find links to article
complexity of Kadane's algorithm is O ( n ) {\displaystyle O(n)} and its space complexity is O ( 1 ) {\displaystyle O(1)} . Similar problems may be posed forTrue quantified Boolean formula (3,846 words) [view diff] exact match in snippet view article find links to article
1145/146585.146609. S2CID 315182. Arora, Sanjeev; Barak, Boaz (2009), "Space complexity", Computational Complexity, Cambridge: Cambridge University Press,Connected-component labeling (3,190 words) [view diff] exact match in snippet view article find links to article
generalized to arbitrary dimensions, albeit with increased time and space complexity. This is a fast and very simple method to implement and understandDameo (2,495 words) [view diff] exact match in snippet view article find links to article
complexity is estimated to be around 10^107. Its upper bound state-space complexity is ~10^40. Freeling features Dameo as one of his core six games onCount sketch (1,466 words) [view diff] exact match in snippet view article find links to article
Farach-Colton 2004. Alon, Noga, Yossi Matias, and Mario Szegedy. "The space complexity of approximating the frequency moments." Journal of Computer and systemHaskell features (3,537 words) [view diff] exact match in snippet view article find links to article
nearly optimal (for a list-based code) time complexity and very low space complexity achieved through telescoping multistage recursive production of primes:Fractional cascading (3,868 words) [view diff] exact match in snippet view article find links to article
{\displaystyle L_{4}[3]=79} . However, this solution pays a high penalty in space complexity: it uses space O ( k n ) {\displaystyle O(kn)} as each of the n {\displaystyleFlattening transformation (428 words) [view diff] exact match in snippet view article find links to article
to segmented scan. Flattening can increase the asymptotic work and space complexity of the original program, leading to a much less efficient result. FlatteningExistential theory of the reals (3,817 words) [view diff] exact match in snippet view article find links to article
algorithm that also has exponential time dependence, but only polynomial space complexity; that is, he showed that the problem could be solved in PSPACE. TheLeader election (4,409 words) [view diff] exact match in snippet view article find links to article
the size of the network. An optimal solution with O(n) message and space complexity is known. In this algorithm, processes have the following states: Dummy:Book embedding (8,167 words) [view diff] exact match in snippet view article find links to article
solved in unambiguous logarithmic space (the analogue, for logarithmic space complexity, of the class UP of unambiguous polynomial-time problems). HoweverOperational transformation (5,311 words) [view diff] exact match in snippet view article find links to article
among the control algorithm and transformation functions, and time-space complexity of the OT system. Most existing OT control algorithms for concurrencyRe-Pair (1,230 words) [view diff] exact match in snippet view article find links to article
the data structures required to implement it with linear time and space complexity. The experiments showed that Re-Pair achieves high compression ratiosProduct literature (2,426 words) [view diff] case mismatch in snippet view article find links to article
Proliferation Strategies and Firm Performance: The Moderating Role of Product Space Complexity". Strategic Management Journal. 34 (12): 1435–1452. doi:10.1002/smjArray Based Queuing Locks (1,167 words) [view diff] exact match in snippet view article find links to article
of entries equal to the number of processors, resulting in linear space complexity. This is generally wasteful as it is rare that all processors would