Search results for "Linear space"

showing 10 items of 16 documents

Parallel and Space-Efficient Construction of Burrows-Wheeler Transform and Suffix Array for Big Genome Data

2016

Next-generation sequencing technologies have led to the sequencing of more and more genomes, propelling related research into the era of big data. In this paper, we present ParaBWT, a parallelized Burrows-Wheeler transform (BWT) and suffix array construction algorithm for big genome data. In ParaBWT, we have investigated a progressive construction approach to constructing the BWT of single genome sequences in linear space complexity, but with a small constant factor. This approach has been further parallelized using multi-threading based on a master-slave coprocessing model. After gaining the BWT, the suffix array is constructed in a memory-efficient manner. The performance of ParaBWT has b…

0301 basic medicineTheoretical computer scienceBurrows–Wheeler transformComputer scienceGenomicsData_CODINGANDINFORMATIONTHEORYParallel computingGenomelaw.invention03 medical and health scienceslawGeneticsHumansEnsemblMulti-core processorApplied MathematicsLinear spaceSuffix arrayChromosome MappingHigh-Throughput Nucleotide SequencingGenomicsSequence Analysis DNA030104 developmental biologyAlgorithmsBiotechnologyReference genomeIEEE/ACM Transactions on Computational Biology and Bioinformatics
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Ein Axiomensystem f�r partielle affine R�ume

1994

A partial linear space with parallelism is called partial affine space if it is embeddable in an affine space with the same pointset preserving the parallelism. These partial affine spaces will be characterized by a system of three axioms for partial linear spaces with parallelism.

AlgebraParallelism (rhetoric)Linear spaceAffine spaceGeometry and TopologyAffine transformationComputer Science::Computational GeometryAxiomMathematicsJournal of Geometry
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The Influence of H. Grassmann on Italian Projective N-Dimensional Geometry

1996

On May 29, 1883, Corrado Segre took his doctorate in Turin (Torino), under Enrico D’Ovidio’s guidance. His thesis (Segre 1884a,b) was published one year later in the Journal of the local Academy of Science, and after a short time it became a fundamental starting point for the development of Italian projective n-dimensional geometry.

CombinatoricsPure mathematicsLinear spacePoint (geometry)Real coordinate spaceDevelopment (differential geometry)Projective differential geometryProjective testMathematicsProjective geometry
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Entropic Profiles, Maximal Motifs and the Discovery of Significant Repetitions in Genomic Sequences

2014

The degree of predictability of a sequence can be measured by its entropy and it is closely related to its repetitiveness and compressibility. Entropic profiles are useful tools to study the under- and over-representation of subsequences, providing also information about the scale of each conserved DNA region. On the other hand, compact classes of repetitive motifs, such as maximal motifs, have been proved to be useful for the identification of significant repetitions and for the compression of biological sequences. In this paper we show that there is a relationship between entropic profiles and maximal motifs, and in particular we prove that the former are a subset of the latter. As a furt…

CombinatoricsSpeedupSettore INF/01 - InformaticaLinear spacePattern discovery maximal motifsEntropy (information theory)PredictabilityTime complexityMathematics
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A remark on weakly convex continuous mappings in topological linear spaces

2009

Abstract Let C be a compact convex subset of a Hausdorff topological linear space and T : C → C a continuous mapping. We characterize those mappings T for which T ( C ) is convexly totally bounded.

Connected spaceHausdorff spaceWeakly convex continuous mappingTopological linear space weakly convex continuous mapping convexly totally bounded set weak Zima type set.TopologyChoquet theoryTopological linear spaceTopological vector spaceBounded operatorContinuous linear operatorWeak Zima type setLocally convex topological vector spaceConvexly totally bounded setGeometry and TopologyReflexive spaceMathematicsTopology and its Applications
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Finite linear spaces in which any n-gon is euclidean

1986

Abstract An n-gon of a linear space is a set S of n points no three of which are collinear. By a diagonal point of S we mean a point p off S with the property that at least two lines through p intersect S in two points. The number of diagonal points is called the type of S. For example, a 4-gon has at most three diagonal points. We call an n-gon euclidean if (roughly speaking) it contains the maximal possible number of 4-gons of type 3. In this paper, we characterize all finite linear spaces in which, for a fixed number n ⩾ 5, any n-gon is euclidean. It turns out that these structures are essentially projective spaces or punctured projective spaces.

Discrete mathematicsLinear spaceDiagonalComputer Science::Computational GeometryEuclidean distance matrixTheoretical Computer ScienceCombinatoricsEuclidean geometryHomographyAffine spaceMathematics::Metric GeometryDiscrete Mathematics and CombinatoricsPoint (geometry)Linear separabilityMathematicsDiscrete Mathematics
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Uncountable classical and quantum complexity classes

2018

It is known that poly-time constant-space quantum Turing machines (QTMs) and logarithmic-space probabilistic Turing machines (PTMs) recognize uncountably many languages with bounded error (A.C. Cem Say and A. Yakaryılmaz, Magic coins are useful for small-space quantum machines. Quant. Inf. Comput. 17 (2017) 1027–1043). In this paper, we investigate more restricted cases for both models to recognize uncountably many languages with bounded error. We show that double logarithmic space is enough for PTMs on unary languages in sweeping reading mode or logarithmic space for one-way head. On unary languages, for quantum models, we obtain middle logarithmic space for counter machines. For binary la…

Discrete mathematicsUnary operationComputer scienceGeneral MathematicsLinear spaceMagic (programming)Binary number0102 computer and information sciences02 engineering and technology01 natural sciencesComputer Science ApplicationsTuring machinesymbols.namesake010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringComplexity classsymbols020201 artificial intelligence & image processingUncountable setTime complexitySoftwareRAIRO - Theoretical Informatics and Applications
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Adaptive learning of compressible strings

2020

Suppose an oracle knows a string $S$ that is unknown to us and that we want to determine. The oracle can answer queries of the form "Is $s$ a substring of $S$?". In 1995, Skiena and Sundaram showed that, in the worst case, any algorithm needs to ask the oracle $\sigma n/4 -O(n)$ queries in order to be able to reconstruct the hidden string, where $\sigma$ is the size of the alphabet of $S$ and $n$ its length, and gave an algorithm that spends $(\sigma-1)n+O(\sigma \sqrt{n})$ queries to reconstruct $S$. The main contribution of our paper is to improve the above upper-bound in the context where the string is compressible. We first present a universal algorithm that, given a (computable) compre…

FOS: Computer and information sciencesCentroid decompositionGeneral Computer ScienceString compressionAdaptive learningKolmogorov complexityContext (language use)Data_CODINGANDINFORMATIONTHEORYString reconstructionTheoretical Computer ScienceCombinatoricsString reconstruction; String learning; Adaptive learning; Kolmogorov complexity; String compression; Lempel-Ziv; Centroid decomposition; Suffix treeSuffix treeIntegerComputer Science - Data Structures and AlgorithmsOrder (group theory)Data Structures and Algorithms (cs.DS)Adaptive learning; Centroid decomposition; Kolmogorov complexity; Lempel-Ziv; String compression; String learning; String reconstruction; Suffix treeTime complexityComputer Science::DatabasesMathematicsLempel-ZivSettore INF/01 - InformaticaLinear spaceString (computer science)SubstringBounded functionString learningTheoretical Computer Science
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Evaluating Multiple Polylogarithm Values at Sixth Roots of Unity up to Weight Six

2017

We evaluate multiple polylogarithm values at sixth roots of unity up to weight six, i.e. of the form $G(a_1,\ldots,a_w;1)$ where the indices $a_i$ are equal to zero or a sixth root of unity, with $a_1\neq 1$. For $w\leq 6$, we present bases of the linear spaces generated by the real and imaginary parts of $G(a_1,\ldots,a_w;1)$ and present a table for expressing them as linear combinations of the elements of the bases.

High Energy Physics - TheoryNuclear and High Energy PhysicsPolylogarithmRoot of unityFOS: Physical sciencesFeynman graph01 natural sciencesCombinatoricsHigh Energy Physics - Phenomenology (hep-ph)0103 physical sciencesFOS: Mathematicslcsh:Nuclear and particle physics. Atomic energy. RadioactivityNumber Theory (math.NT)0101 mathematicsLinear combinationMathematical PhysicsPhysicsMathematics - Number Theory010308 nuclear & particles physicsLinear space010102 general mathematicsZero (complex analysis)Mathematical Physics (math-ph)High Energy Physics - PhenomenologyHigh Energy Physics - Theory (hep-th)lcsh:QC770-798
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On semi-fredholm properties of a boundary value problem inR + n

1988

The paper considers a boundary value problem with the help of the smallest closed extensionL ∼ :H k →H k 0×B h 1×...×B h N of a linear operatorL :C (0) ∞ (R + n ) →L(R + n )×L(R n−1)×...×L(R n−1). Here the spacesH k (the spaces ℬ h ) are appropriate subspaces ofD′(R + n ) (ofD′(R n−1), resp.),L(R + n ) andC (0) ∞ (R + n )) denotes the linear space of smooth functionsR n →C, which are restrictions onR + n of a function from the Schwartz classL (fromC 0 ∞ , resp.),L(R n−1) is the Schwartz class of functionsR n−1 →C andL is constructed by pseudo-differential operators. Criteria for the closedness of the rangeR(L ∼) and for the uniqueness of solutionsL ∼ U=F are expressed. In addition, ana prio…

Linear mapCombinatoricsGeneral MathematicsLinear spaceMathematical analysisFunction (mathematics)Boundary value problemUniquenessAlgebra over a fieldLinear subspaceMathematicsIsrael Journal of Mathematics
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