orphan date October 2009 As opposed to persistent data stored in memory medium for access on demand, transient data originated on line streams are lost if not explicitly stored. These transient data, called data stream s, invalid many existing algorithm s for persistent data. Paralleled with persistent data and data streams, streaming algorithm s is coined which process streams with sublinear memory cost. Among many methods of designing algorithms for data streams, streamlizing algorithms to enable algorithms to process data streams is one of possible research directions. Streaming Graph Semi streaming Graphs With given Vertex graph theory vertex set V, edges in edge set is shown one by one ...... External links WebDB.cn Southeast University http sites.google.com site webdbp2p WebDB.cn Southeast University http cse.seu.edu.cn people zhchong Streaming algorithms http en.wikipedia.org wiki Streaming algorithms Data Stream Mining http en.wikipedia.org wiki Data stream mining DEFAULTSORT Streamlizing Algorithms Category Data management ... more details
orphan date December 2007 XDAIS or eXpressDsp Algorithm Interoperability Standard is a standard for algorithm development by Texas Instruments for the TMS320 DSP family. The standard was first introduced in 1999 and was created to facilitate integration of DSP algorithms into systems without re engineering cost. The XDAIS standard address the issues of algorithm resource allocation and consumption on a DSP. Algorithms that comply with the standard are tested and awarded an eXpressDSP compliant mark upon successful completion of the test The standard consists of a set of general rules and guidelines that should be applied to all algorithms. For instance, all XDAIS compliant algorithms must implement an Algorithm Interface, called IALG. For those algorithms utilizing DMA dn date February 2012 , the IDMA interface must be implemented. Further, specific rules are provided for each family of TI DSP. Problems are often caused in algorithm by hard coding access to system resources that are used by other algorithms. DAIS prohibits the use of this type of hard coding. Instead, DAIS requires a standard API for the application to call a particular algorithm class. This API is defined in the xDM standard , also referred to as the VISA API s video, imaging, speech and audio . A XDAIS developer s kit provides the standard itself, example code, and a demonstration. Benefits of XDAIS over non standardize approach include Significant reduction in integration time as algorithms do not trash each others resources Easy comparison of algorithms from multiple different sources in the same application Access to broad range of compliant algorithms available from multiple TI DSP Third Parties eliminates need to custom develop complex algorithms Algorithms work out of the box with eXpressDSP Multimedia Framework Products, such as Codec Engine TI See also eXpressDsp External links http focus.ti.com docs toolsw folders print tmdxdaisxdm.html technicaldocuments XpressDSP Algorithm Standard xDAI ... more details
Infobox book name Introduction to Algorithms title orig translator image Image Clrs3.jpeg thumb image caption Cover of the third edition author Thomas H. Cormen , Charles E. Leiserson , Ron Rivest Ronald L. Rivest , and Clifford Stein illustrator cover artist country USA language English series subject Computer algorithms genre publisher MIT press pub date 1990 first edition english pub date media type pages isbn 978 0 262 03384 8 oclc dewey congress preceded by followed by Image Clrs.jpg thumb Cover of the second edition Introduction to Algorithms is a book by Thomas H. Cormen , Charles E. Leiserson , Ron Rivest Ronald L. Rivest , and Clifford Stein . It is used as the textbook for algorithms courses at many universities. It is also one of the most commonly cited references for algorithms in published papers, citation needed date March 2011 reason We can see that there are many citations, but we need a source corroborating that it s one of the most commonly cited with over 4600 citations documented on CiteSeerX . ref cite web url http citeseerx.ist.psu.edu showciting?cid 1910 title Introduction to Algorithms&mdash CiteSeerX citation query accessdate 2009 09 01 work CiteSeerX publisher ... to algorithms 500k 0810.html title Milestone for MIT Press s bestseller author Larry Hardesty date August ... as CLRS . This first edition of the book was also known as The Big White Book of Algorithms . With the second ... to just The Big Book of Algorithms . ref http www.csd.uwo.ca jamie .Refs tech books.html Neato ... to Algorithms 1 notitlelink 1 Introduction to Algorithms 2 notitlelink 1 Introduction to Algorithms 3 notitlelink 1 References reflist External links Official websites by http mitpress.mit.edu algorithms MIT Press MIT lecture MIT 6.046J 18.410J Introduction to Algorithms Fall 2005 . Held in part by coauthor ... of the lectures. At http videolectures.net mit6046jf05 introduction algorithms VideoLectures.Net ... a los algoritmos ko Introduction to Algorithms it Introduzione agli algoritmi ru ... more details
Unreferenced stub auto yes date December 2009 For computer algorithms List of algorithms In elementary arithmetic , a standard algorithm or method is a specific method of computation which is conventionally taught for solving particular mathematical problems. These methods vary somewhat by nation and time, but generally include carrying, borrowing, long division, and long multiplication using a standard notation, and standard formulas for average, area, and volume. Similar methods also exist for procedures such as square root and even more sophisticated functions, but have fallen out of the general mathematics curriculum in favor of calculators or tables and slide rules before them . The concepts of reform mathematics which the NCTM introduced in 1989 favors an alternative approach. It proposes a deeper understanding of the underlying theory instead of memorization of specific methods will allow students to develop individual methods which solve the same problems. Students alternative algorithms are often just as correct, efficient, and generalizable as the standard algorithms, and maintain emphasis on the meaning of the quantities involved, especially as relates to place values something that is usually lost in the memorization of standard algorithms . The development of sophisticated calculators has made manual calculation less important see the note on square roots, above and cursory teaching of traditional methods has created failure among many students. Greater achievement among all types of students is among the primary goals of mathematics education put forth by NCTM . Some researchers such as Constance Kamii have suggested that elementary arithmetic, as traditionally taught, is not appropriate in elementary school. Many first editions of textbooks written to the original 1989 standard such as TERC deliberately discouraged teaching of any particular method, instead ... of the materials. Standards based Education Reform DEFAULTSORT Standard Algorithms Category Mathematics ... more details
The following is a list of algorithms along with one line descriptions for each. Combinatorial algorithms see Combinatorics General combinatorial algorithms Cycle detection Brent s algorithm Brent s algorithm ... Mersenne twister Graph algorithms see Graph theory Category Graph algorithms Coloring algorithm Graph ... Force based algorithms graph drawing Force based algorithms also known as force directed algorithms ... algorithms for computing the minimum spanning tree of a set of points in the plane Longest path problem ... s algorithm Tarjan s algorithm Sequence algorithms see Sequences Approximate matching Bitap algorithm ... Sorting main Sorting algorithms contradict other Sorting algorithm Comparison of algorithms date ... mathematics see Computational mathematics see also List of algorithms Combinatorial algorithms l1 Combinatorial algorithms List of algorithms Computational science l2 Computational science ... main Category Geometric algorithms l1 Geometric algorithms see Computational geometry Closest ... detection algorithms check for the collision or intersection of two given solids Cone algorithm identify surface points Convex hull algorithms determining the convex hull of a Set mathematics ... Minimum bounding box algorithms find the Minimum bounding box Arbitrarily oriented minimum bounding ... point or points to a query point Point in polygon algorithms tests whether a given point lies ... algorithms decompose a polygon into a set of triangles Voronoi diagram s, geometric duality mathematics ... of dimensions Fortune s Algorithm create voronoi diagram Number theoretic algorithms see Number theory ... Sieve of Eratosthenes Sieve of Sundaram Numerical algorithms see Numerical analysis List of numerical ... , a group of algorithms for solving differential equations using a hierarchy of discretizations ... equations Sparse matrix algorithms Cuthill McKee algorithm reduce the bandwidth matrix theory bandwidth ... of a function Optimization algorithms main Mathematical optimization Alpha beta pruning search ... more details
about general cache algorithms detailed algorithms specific to paging page replacement algorithm detailed algorithms specific to the cache between a CPU and RAM CPU cache In computing , cache algorithms also frequently called replacement algorithms or replacement policies are Optimization computer science optimizing instructions &ndash algorithm s &ndash that a computer program or a hardware maintained structure can follow to manage a cache computing cache of information stored on the computer. When the cache is full, the algorithm must choose which items to discard to make room for the new ones. The average memory reference time is ref name ajsmith math T m T m T h E math where T average memory reference time m miss ratio 1 hit ratio math T m math time to make a main memory access when there is a miss or, with multi level cache, average memory reference time for the next lower cache math T h math the latency the time to reference the cache when there is a hit E various secondary effects, such as queuing effects in multiprocessor systems There are two primary figures of merit of a cache The latency, and the hit rate. There are also a number of secondary factors affecting cache ..., many cache algorithms in particular, LRU allow this streaming data fill the cache, pushing out ... of caching algorithms with members including http www.vldb.org conf 1994 P439.PDF 2Q by Theodore ... datasets sometimes known as cyclic access patterns MRU cache algorithms have more hits than LRU .... VLDB, 1996. ref MRU algorithms are most useful in situations where the older an item is, the more ... items may be necessary. Various algorithms also exist to maintain cache coherency . This applies ... cache algorithms http www.cs.umd.edu class spring2003 cmsc311 Notes Memory fully.html Fully associative ... Cache Algorithms Category Cache computing Category Memory management algorithms de Cache Algorithmus ... tr nbellek algoritmalar zh hy Cache algorithms ... more details
Navigational Algorithms is a source of information whose purpose is to make available the scientific part of the art of navigation, containing specialized articles and software that implements the various procedures of calculus. The topics covered are Celestial navigation Sight Reduction, Line Of Position, Fix... Positional astronomy RA, GHA, Dec Coastal navigation Range, Bearing, Horizontal angles, IALA... Sailings Rhumbs, Loxodromic, Orthodromic, Meridional parts... Weather , tides Software PC PDA Nautical Almanac, Sailings, Variation, Sextant corrections Advanced navigation Include articles about piloting and astronavigation Corrections for sextant altitude, Sight Reduction with calculator Form & Plotting sheet for celestial LoPs, Celestial Fix 2 LoPs, Celestial Fix n LoPs NA Sight Reduction algorithm, Vector equation of the Circle of Position, Vector Solution for the intersection of two Circles of Equal Altitude, Sight Reduction Matrix solution. Basic marine navigation Include papers about introduction to navigation, tides, naval kinematics, weather and oceanography Navigation shareware This section gives a brief description of the free programs available for navigation. Run under Windows XP, maybe under 95 98 2000 NT Nautical Almanac Ephemerides of the celestial bodies used in navigation. Image NA.png thumb 340px Nautical Almanac GHA Greenwich Hour Angle Dec Declination SD Semidiameter HP Horizontal Parallax CelestialFix Astronavigation solution for sight reduction for n observations made with a marine sextant & running fixes The algorithms implemented are For n 2 observations An analytical solution of the two star sight problem of celestial navigation, James A. Van Allen ref An analytical solution of the two star sight problem of celestial navigation. James A. Van Allen. NAVIGATION Vol. 28, No. 1, 1981 ref . Vector Solution for the Intersection of two Circles of Equal ... site navigationalalgorithms Navigational Algorithms http journals.cambridge.org action displayIssue ... more details
no footnotes date March 2010 In computer science , the analysis of algorithms is the determination of the amount of resources such as time and storage necessary to execute them. Most algorithm s are designed to work with inputs of arbitrary length. Usually the efficiency or running time of an algorithm is stated as a function relating the input length to the number of steps time complexity or storage locations space complexity . Algorithm analysis is an important part of a broader computational complexity ... of search for efficient algorithms. In theoretical analysis of algorithms it is common to estimate .... Exact measures of efficiency are useful to the people who actually implement and use algorithms ... author3 Jeffrey D. Ullman title The design and analysis of computer algorithms year 1974 publisher ... Ingo title Complexity theory exploring the limits of efficient algorithms publisher Springer Verlag ... and network algorithms url http books.google.com books?id JiC7mIqg X4C&pg PA3 year 1983 publisher ... in the analysis of arbitrary precision arithmetic algorithms, like those used in cryptography . A key ... and therefore there are algorithms that are faster than what would naively be thought possible. ref ... metrics Since algorithms are platform independent i.e. a given algorithm can be implemented in an arbitrary ... set of algorithms. Take as an example a program that looks up a specific entry in a collation sorted ... but still could serve for comparison of any two given algorithms as to their empirical ... for common algorithms Notes reflist References Cite book authorlink Thomas H. Cormen first Thomas ... last4 Stein title Introduction to Algorithms edition Second publisher MIT Press and McGraw Hill ... title Algorithms in C, Parts 1 4 Fundamentals, Data Structures, Sorting, Searching edition 3rd authorlink ... of Algorithms edition Second location publisher Birkh user year 1982 isbn 374633102X Cite book authorlink ... Of Algorithms Category Computational complexity theory Category Analysis of algorithms ar ... more details
have been assigned a color, then we have found a solution. There are more sophisticated algorithms ... of Sudoku using algorithms for exact cover typically solve 9x9 Sudoku grids instantly .... Randomized algorithms are less vulnerable to worst case inputs, but don t have consistent running ... simulated annealing , and tabu search . Stochastic based optimisation algorithms are known to be quite ... however, optimisation algorithms do not necessarily require problems to be logic solvable, giving ... a search routine. Algorithmic search for symmetrical Sudokus with few givens Computer algorithms ... more details
Orphan date September 2011 Unreferenced date January 2008 Biologically inspired algorithms is a category of algorithms that imitate the way nature performs. This category has been quite popular, since numerous problems can be solved without rigorous mathematical approaches. Citation needed date January 2008 In this category of algorithms fall Artificial neural network s Genetic algorithm s Evolutionary algorithm s Particle swarm optimization Ant colony optimization Fuzzy logic and others DEFAULTSORT Biologically Inspired Algorithms Category Algorithms Category Optimization algorithms and methods ... more details
The Dictionary of Algorithms and Data Structures is a dictionary style reference for many of the algorithm s, algorithmic techniques, archetypal problems and data structure s found in the field of computer science . ref name dads http www.nist.gov dads Dictionary of Algorithms and Data Structures Bot generated title ref The dictionary is maintained by Paul E. Black, ref name dads and is hosted by the Software and Systems Division, Information Technology Laboratory, a part of the National Institute of Standards and Technology . ref name dads It was created in September 1998. ref name dads References reflist External links http www.nist.gov dads Dictionary of Algorithms and Data Structures Category Algorithms and data structures Category Computer science websites Category Government owned websites Category Online dictionaries ru ... more details
In analysis of algorithms , probabilistic analysis of algorithms is an approach to estimate the computational complexity of an algorithm or a computational problem. It starts from an assumption about a probabilistic distribution of the set of all possible inputs. This assumption is then used to design an efficient algorithm or to derive the complexity of a known algorithm. This approach is not the same as that of probabilistic algorithm s, but the two may be combined. For non probabilistic, more specifically, for deterministic algorithm s, the most common types of complexity estimates are the average case complexity expected time complexity Dubious date March 2011 , in which given an input distribution, the expected time of an algorithm is evaluated the almost always complexity estimates, in which given an input distribution, it is evaluated that the algorithm admits a given complexity estimate that almost surely holds. Probabilistic Algorithms In probabilistic analysis of probabilistic randomized algorithms, the distributions or averaging for all possible choices in randomized steps are also taken into an account, in addition to the input distributions. See also Amortized analysis Average case complexity Best, worst and average case Random self reducibility Category Probabilistic complexity theory Category Analysis of algorithms comp sci theory stub ... more details
The combination of quality control and genetic algorithms led to novel solutions of complex quality control design and Optimization mathematics optimization problems. Quality control is a process by which entities review the quality of all factors involved in production. Quality is the degree to which a set of inherent characteristics fulfils a need or expectation that is stated, general implied or obligatory ... algorithms are search algorithms, based on the mechanics of natural selection and natural genetics. ref Goldberg DE. Genetic algorithms in search, optimization and machine learning. Addison Wesley .... Genetic algorithms Genetic algorithms ref Holland, JH. Adaptation in natural and artificial systems. The University of Michigan Press 1975 pp.1 228. ref ref Goldberg DE. Genetic algorithms ... to genetic algorithms. The MIT Press 1998 pp.1 221. ref are robust search algorithms , that do ... quickly. Genetic algorithms have been derived from the processes of the molecular biology of the gene ... with the synonymous biological processes. Genetic algorithms have been used to solve a variety ... programming paradigm have shown us that genetic algorithms can be used for tasks as complex as the program induction. Quality control and genetic algorithms In general, we can not use algebraic ... mathematics Optimization methods based on the genetic algorithms offer an appealing alternative. Furthermore ... 1993, genetic algorithms have been used successfully to optimize and to design novel quality control procedures. ref Hatjimihail AT. Genetic algorithms based design and Optimization mathematics optimization ... procedures using genetic algorithms. In LJ Eshelman ed Proceedings of the Sixth International Conference on Genetic Algorithms. San Francisco Morgan Kauffman 1995 551 7. ref ref He D, Grigoryan A. Joint ... web Illinois Genetic Algorithms Laboratory IlliGAL http www.hcsl.com Hellenic Complex Systems Laboratory HCSL Category Quality control Category Genetic algorithms ... more details
Infobox Academic Conference history 1993 discipline Algorithms abbreviation ESA publisher Springer Science Business Media Springer Lecture Notes in Computer Science LNCS country International frequency annual The European Symposium on Algorithms ESA is an international conference covering the field of algorithms . It has been held annually since 1993, typically in a different European location in early Autumn. Like most theoretical computer science conferences its contributions are strongly peer reviewed the articles appear in proceedings published in Springer Science Business Media Springer Lecture Notes in Computer Science . History The first ESA was held in 1993 and contained 35 papers. The intended scope was all research in algorithms, theoretical as well as applied, carried out in the fields of computer science and discrete mathematics . An explicit aim was to intensify the exchange between these two research communities. In 2002, ESA incorporated the conference Workshop on Algorithms Engineering WAE . In its current format, ESA contains two distinct tracks with their own programme committees a track on the design an analysis of algorithms , and a track on engineering and applications, together accepting around 70 contributions. ALGO conferences Since 2001, ESA is co located with other algorithms conferences and workshops in a combined meeting called called ALGO . This is the largest European event devoted to algorithms, attracting hundreds of researchers. Other events in the ALGO conferences include the following. WABI , the Workshop on Algorithms in Bioinformatics , was part of ALGO in 2001 2006 and 2008. WAOA , the Workshop on Approximation and Online Algorithms , has been part of ALGO in 2003 2011. ATMOS , the Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems , formerly the Workshop on Algorithmic Methods and Models for Optimization of Railways , has been part of ALGO in 2003 2006 and 2008 2009. ATMOS was a co located ... more details
italictitle Algorithms Data Structures Programs ref cite book publisher Prentice Hall date 1976 title Algorithms Data Structures Programs last Wirth first Niklaus language English id 0130224189 isbn 978 0 13 022418 7 url http portal.acm.org citation.cfm?id 540029 ref is a 1976 book written by Niklaus Wirth covering some of the fundamental topics of computer programming , particularly that algorithm s and data structure s are inherently related. For example, if one has a sorted list one will use a search algorithm optimal for sorted lists. The book was one of the most influential computer science books of the time and, like Wirth s other work, extensively used in education Fact date March 2009 . The Turbo Pascal compiler written by Anders Hejlsberg was largely inspired by the Tiny Pascal compiler in Niklaus Wirth s book. Chapter outline Chapter 1 Fundamental Data Structures Chapter 2 Sorting algorithm Sorting Chapter 3 Recursion Recursive Algorithms Chapter 4 Dynamic Information Structures Chapter 5 Language Structures and Compilers Appendix A the ASCII character set Appendix B Pascal programming language Pascal syntax diagrams References reflist External links http www.inf.ethz.ch personal wirth books AlgorithmE0 ETH Zurich N. Wirth Books Compilerbau Algorithms Data Structures Programs Category Computer programming books Category History of computing cs Algoritmy datov struktury programy ... more details
Algorithms that construct convex hull s of various objects have a broad range of applications in mathematics ... geometry , numerous algorithms are proposed for computing the convex hull of a finite set of points .... The complexity of the corresponding algorithms is usually estimated in terms of n , the number ..., Shamos, Computational Geometry , Chapter Convex Hulls Basic Algorithms ref However, in models ... by using integer sorting algorithms, planar convex hulls can also be computed more quickly the Graham ... work. Optimal output sensitive algorithms As stated above, the complexity of finding a convex ... of some convex hull algorithms can be characterized in terms of both input size n and the output size h the number of points in the hull . Such algorithms are called output sensitive algorithm s. They may be asymptotically more efficient than &Theta n log n algorithms in cases when h o n . The lower bound on worst case running time of output sensitive convex hull algorithms was established to be &Omega n log h in the planar case. ref name ps There are several algorithms which attain this optimal ... . Algorithms Known convex hull algorithms are listed below, ordered by the date of first publication ... in the worst case planar algorithms. Discovered independently by Chand & Kapur in 1970 and R. A. Jarvis ... used as the first step in implementations of convex hull algorithms to improve their performance. It is based ... on linear expected time algorithms for finding convex hulls, Computing , Vol. 26, 1981, pp. 361 366 .... Higher dimensions A number of algorithms are known for the three dimensional case, as well as for arbitrary ... algorithms for high dimensional convex hulls are not output sensitive algorithm output sensitive due ... Theory and Applications pages 265 301 title How good are convex hull algorithms? volume 7 year ... E. Leiserson , Ronald L. Rivest , and Clifford Stein . Introduction to Algorithms , Second Edition ... An Example Convex Hulls describes classical algorithms for 2 dimensional convex hulls . Chapter 11 Convex ... more details
Infobox Academic Conference history 1989 discipline Parallel computing and distributed computing abbreviation SPAA publisher Association for Computing Machinery ACM country International frequency annual SPAA , the ACM Symposium on Parallelism in Algorithms and Architectures , is an academic conference in the fields of parallel computing and distributed computing . It is sponsored by the Association for Computing Machinery special interest groups ACM SIGACT SIGACT and ACM SIGARCH SIGARCH , and it is organized in cooperation with the European Association for Theoretical Computer Science EATCS . ref http www.spaa conference.org SPAA web site . ref History SPAA was first organised on 18 21 June 1989, in Santa Fe, New Mexico , United States . ref F. T. Leighton, editor Proceedings of the First Annual ACM Symposium on Parallel Algorithms and Architectures, 1989, ACM Press. ISBN 0 89791 323 X. http portal.acm.org citation.cfm?id 72935 ref In 1989 2002, SPAA was known as Symposium on Parallel Algorithms and Architectures . In 2003, the name changed to Symposium on Parallelism in Algorithms and Architectures to reflect the extended scope of the conference. ref http www.cs.jhu.edu spaa 2003 SPAA 2003 web site . ref In 2003 and 2007, SPAA was part of the Federated Computing Research Conference FCRC , and in 1998, 2005, and 2009, SPAA was co located with the ACM Symposium on Principles of Distributed Computing PODC . See also The list of distributed computing conferences contains other academic conferences in parallel and distributed computing. The list of computer science conferences contains other academic conferences in computer science. Notes reflist 2 External links http portal.acm.org toc.cfm?id SERIES362 SPAA proceedings in Association for Computing Machinery ACM digital library. http www.informatik.uni trier.de ley db conf spaa SPAA proceedings information in DBLP . comp sci stub Category Distributed computing conferences Category Theoretical computer science conferenc ... more details
Supervised learning AODE Artificial neural network Backpropagation Bayesian statistics Naive Bayes classifier Bayesian network Bayesian knowledge base Case based reasoning Decision tree learning Decision trees Inductive logic programming Gaussian process regression Group method of data handling GMDH Learning Automata Learning Vector Quantization Minimum message length decision trees, decision graphs, etc. Lazy learning Instance based learning Nearest neighbor pattern recognition Nearest Neighbor Algorithm Analogical modeling Probably approximately correct learning PAC learning Ripple down rules , a knowledge acquisition methodology Symbolic machine learning algorithms Subsymbolic machine learning algorithms Support vector machine s Random forest Random Forests Ensembles of classifiers Bootstrap aggregating bagging Boosting Ordinal classification Regression analysis Information Fuzzy Networks Information fuzzy networks IFN Statistical classification AODE Linear classifier s Fisher s linear discriminant Logistic regression Naive Bayes classifier Perceptron Support vector machine s Quadratic classifier s Nearest neighbor pattern recognition k nearest neighbor Boosting Decision tree learning Decision trees C4.5 Random forest s Bayesian network s Hidden Markov model s Unsupervised learning Artificial neural network Data clustering Expectation maximization algorithm Self organizing map Radial basis function network Vector Quantization Generative topographic map Information bottleneck method IBSEAD Association rule learning Apriori algorithm Eclat algorithm Association rule learning FP growth algorithm FP growth algorithm Hierarchical clustering Single linkage clustering Conceptual clustering Partitional clustering K means algorithm Fuzzy clustering Reinforcement learning Temporal difference learning Q learning Learning Automata Others Data Pre processing DEFAULTSORT List Of Machine Learning Algorithms Category Machine learning algorithms Category Data mining ... more details
Given an DEVS Atomic DEVS atomic DEVS model, simulation algorithms are methods to generate the model s legal behaviors which are trajectories not to reach to illegal states. see Behavior of DEVS . Simulation Algorithms for Atomic DEVS References Zeigler84 originally introduced the algorithms that handle time variables related to lifespan math t s in 0, infty math and elapsed time math t e in 0, infty math by introducing two other time variables, last event time , math t l in 0, infty math , and next event time math t n in 0, infty math with the following relations center math , t e t t l math center and center math , t s t n t l math center where math t in 0, infty math denotes the current time . And the remaining time , center math ,t r t s t e math center is equivalently computed as center math , t r t n t math center , apparently math t r in 0, infty math . Since the behavior of a given atomic DEVS model can be defined in two different views depending on the total state and the external transition function refer to Behavior of DEVS , the simulation algorithms are also introduced in two different views as below. Common parts Regardless of two different views of total states, algorithms for initialization and internal transition cases are commonly defined as below. DEVS simulator variables parent parent coordinator math t l math time of last event math t n math time of next event math A X,Y,S,ta, delta ext , delta int , lambda math the associated DEVS Atomic DEVS Atomic DEVS model when receive init message Time math t math math t l leftarrow t math math t n leftarrow t l ta s math when receive star message Time math t math if math t ne t n math then error bad synchronization math y leftarrow lambda s math send y message math y,t math to parent math s leftarrow delta int ... Behavior of atomic DEVS Simulation algorithms for coupled DEVS References Zeigler84 cite book author ..., New York id ISBN 978 0127784557 edition second Category Algorithms ... more details
Given a coupled DEVS model, simulation algorithms are methods to generate the model s legal behaviors, which are a set of trajectories not to reach illegal states. see Behavior of Coupled DEVS behavior of a Coupled DEVS model. Simulation Algorithms for Coupled DEVS References Zeigler84 originally introduced the algorithms that handle time variables related to lifespan math t s in 0, infty math and elapsed time math t e in 0, infty math by introducing two other time variables, last event time , math t l in 0, infty math , and next event time math t n in 0, infty math with the following relations center math , t e t t l math center and center math , t s t n t l math center where math t in 0, infty math denotes the current time . And the remaining time , center math ,t r t s t e math center is equivalently computed as center math , t r t n t math center , apparently math t r in 0, infty math . Based on these relationships, the algorithms to simulate the behavior of a given Coupled DEVS are written as follows. Algorithms DEVS coordinator Variables parent parent coordinator math t l math time of last event math t n math time of next event math N X, Y, D, M i , C xx , C yx , C yy ,Select math the associated DEVS Coupled DEVS Coupled DEVS model when receive init message Time t for each math i in D math do send init message t to child math i math math t l leftarrow max t li i in D math math t n leftarrow min t ni i in D math when receive star message Time t if math t ne t n math then error bad synchronization math i leftarrow Select i in D t ni t n math send star message t to math i math math t l leftarrow max t li i in D math math t n leftarrow min t ni i in D math when receive x message math x in X math , Time t if math t l le t math and math t le t n math false then error bad ... DEVS Coupled DEVS Coupled DEVS Behavior of Coupled DEVS Simulation Algorithms for Atomic DEVS References ... publisher Academic Press, New York id ISBN 978 0127784557 edition second Category Algorithms ... more details
saved book title Graph Algorithms subtitle cover image Cube maximal independence.svg cover color 76b3df Graph Algorithms Introduction Graph theory Glossary of graph theory Graph mathematics Undirected graphs Directed graph Directed graphs Directed acyclic graph Directed acyclic graphs Graph data structure Computer representations of graphs Adjacency list Adjacency matrix Implicit graph Graph exploration and vertex ordering Depth first search Breadth first search Lexicographic breadth first search Iterative deepening depth first search Topological sorting Dependency graph Application Dependency graphs Connectivity of undirected graphs Connected component graph theory Connected components K edge connected graph Edge connectivity K vertex connected graph Vertex connectivity Menger s theorem Menger s theorems on edge and vertex connectivity Ear decomposition Bridge graph theory Algorithms for 2 edge connected components Biconnected component Algorithms for 2 vertex connected components SPQR tree Algorithms for 3 vertex connected components Karger s algorithm Karger s algorithm for general vertex connectivity Connectivity of directed graphs Strongly connected component Strongly connected components Tarjan s strongly connected components algorithm Cheriyan Mehlhorn Gabow algorithm Gabow s strongly connected components algorithm Kosaraju s algorithm Kosaraju s strongly connected components algorithm 2 satisfiability Application 2 satisfiability Shortest paths Shortest path problem Dijkstra s algorithm Dijkstra s algorithm for single source shortest paths with positive edge lengths Bellman Ford algorithm Bellman Ford algorithm for single source shortest paths allowing negative edge ... Planarity testing Fraysseix Rosenstiehl s planarity criterion Graph drawing Force based algorithms graph drawing Force based graph drawing algorithms Graph embedding Sociogram Application Sociograms ... science Graph algorithms Category Wikipedia books on mathematics Graph algorithms ... more details
Below is a list of common Shader shading algorithms Interpolation techniques can be combined with any illumination model Flat shading Gouraud shading Phong shading Illumination models can be combined with any interpolation technique Blinn Phong shading model Blinn Phong Specular highlight Cook Torrance model Cook Torrance microfacets Lambertian reflectance Lambert Minnaert function Minnaert Oren Nayar reflectance model Oren Nayar Rough opaque diffuse surfaces Phong reflection model Phong Specular highlight Ward anisotropic distribution Ward anisotropic Category Shading ... more details
The Numerical Algorithms Group NAG is a software company which provides methods for the solution of mathematical and statistical problems, and offers services to users of HPC systems. Its products and services are employed by tens of thousands of users from Financial Times Global 500 Global 500 companies, universities, supercomputing sites and numerous independent software vendors. As a not for profit organization, NAG reinvests its surpluses into the research and development of its products and services, and the fostering of new numerical and scientific talent. NAG serves its customers from offices in Oxford , Manchester , Chicago, Illinois Chicago , Tokyo and Taipei , through field sales staff in France and Germany, and via a global network of distributors. Origins NAG was founded by Brian Ford numerical analyst Brian Ford and others in 1970 as the Nottingham Algorithms Group, a collaborative venture between the universities of Birmingham University Birmingham , Leeds University Leeds , Manchester University Manchester , Nottingham University Nottingham and Oxford University Oxford , and the Atlas Computer Laboratory now part of the Rutherford Appleton Laboratory . The original aim of the project was the development of a library of numerical and statistical subroutines for the ICL ICT 1900 series The 1900 A series 1906A and ICT 1900 series The 1900 S series 1906S machines which were in use at each of these sites. Code and algorithms for the library were contributed to the project by experts in the project, and elsewhere for example, some of the linear algebra code was written by James H. Wilkinson Jim Wilkinson , who was an early supporter of the NAG project . The project ..., when its name was changed to The Numerical Algorithms Group. NAG Ltd was founded as a not for profit ... www.nag.co.uk Market articles fourdecadesofnag.asp The Numerical Algorithms Group From 0 40 in a flurry ... Software companies of the United Kingdom Category Fortran compilers ja Numerical Algorithms Group ... more details
Encyclopedia
top
