Computationalphylogenetics is the application of computational algorithm s, methods and programs to Phylogenetics ... Computationalphylogenetics ca Filogen tica computacional es Filogen tica computacional fa ... Sci 113 3353 3354. ref Traditional phylogenetics relies on morphology biology morphological data obtained ... the more recent field of molecular phylogenetics uses nucleotide sequences encoding genes or amino acid sequences encoding protein s as the basis for classification. Many forms of molecular phylogenetics ... gene s represented in the genome s of divergent species. The phylogenetic trees constructed by computational ... in order of genetic distance . Types of phylogenetic trees Phylogenetic tree s generated by computationalphylogenetics can be either rooted or unrooted depending on the input data and the algorithm ... homology Morphological analysis The basic problem in morphological phylogenetics is the assembly of a matrix ... in morphological phylogenetics problems and solutions. Syst Biol 50 5 689 99. ref Because morphological ... at increased computational cost. Finding the optimal least squares tree with any correction factor is NP complete , ref name day Day, WHE. 1986 . Computational complexity of inferring phylogenies ... applied to phylogenetics in the early 1980s. ref name hendy Hendy MD, Penny D. 1982 . Branch and bound ... implies, it requires as input both a branching rule in the case of phylogenetics, the addition of the next ... a good bound is the most challenging aspect of the algorithm s application to phylogenetics ... distribution is a point of contention among users of Bayesian inference phylogenetics methods ... algorithms, although the choice of move set varies selections used in Bayesian phylogenetics include ... a Markov chain Monte Carlo method. Mol Biol Evol 46 409 18. ref The use of Bayesian methods in phylogenetics ... Molecular phylogenetics methods rely on a defined substitution model that encodes a hypothesis ... annurev.ecolsys.36.102003.152633 title Model Selection in Phylogenetics year 2005 author Sullivan ... more details
Microbial phylogenetics is the study of the evolution ary relatedness among various groups of microorganism s. The molecular approach to microbial Molecular phylogenetics phylogenetic analysis , pioneered by Carl Woese in the 1970s and leading to the three domain model Archaea , Bacteria , Eucaryota , revolutionized our thinking about evolution in the microbial world. Phylogenetic analysis plays a central role in microbiology and the emerging fields of comparative genomics and phylogenomics require substantial knowledge and understanding of phylogenetic analysis and computational methods. ref name OrenA cite book author Oren, A Papke, RT editor year 2010 title Molecular Phylogeny of Microorganisms publisher Caister Academic Press isbn 978 1 904455 67 7 ref ref name Blum cite book author Blum, P editor year 2010 title Archaea New Models for Prokaryotic Biology publisher Caister Academic Press isbn 978 1 904455 27 1 ref Historical overview When at the end of the 19th century information began to accumulate about the diversity within the bacteria l world, scientists started to include the bacteria in phylogenetic schemes to explain how life on Earth may have developed. Some of the early phylogenetic tree s of the prokaryote world were morphology based others were based on the then current ... views on microbial phylogeny. ref name OrenA Methods and programs The purpose of Molecular phylogenetics ... innovation of modern molecular biology and the rapid advancement in computational science ... substantial knowledge and understanding of phylogenetic analysis and computational skills to handle ..., the transfer of an adaptive gene might create a new group of organisms. ref name OrenA See also Phylogenetics Molecular phylogeneticsComputationalphylogenetics History of molecular evolution References reflist External links http www.highveld.com pages microbial phylogenetics.html Microbial phylogenetics Category Phylogenetics ... more details
molecular evolution computationalphylogenetics PhyloCode Microbial phylogenetics References MolPhylEvol48 ...Molecular phylogenetics IPA en m l kj l r fa l d n t ks pron , also known as molecular systematics a term likely discouraged to avoid confusion with Structure activity relationship molecular biological system structure activity relationship , is the use of the structure of molecule s to gain information on an organism s evolutionary relationships. The result of a molecular phylogenetics phylogenetic analysis is expressed in a phylogenetic tree . History of molecular phylogenetics See History of molecular evolution The theoretical frameworks for molecular systematics were laid in the 1960s in the works of Emile Zuckerkandl , Emanuel Margoliash , Linus Pauling and Walter M. Fitch . ref Edna Su rez D az & Victor H. Anaya Mu oz 2008 History, objectivity, and the construction of molecular phylogenies. Stud. Hist. Phil. Biol. & Biomed. Sci. 39 451 468 ref Applications of molecular systematics were pioneered by Charles Sibley Charles G. Sibley bird s , Herbert C. Dessauer herpetology , and Morris Goodman primate s , followed by Allan Wilson Allan C. Wilson , Robert K. Selander , and John C. Avise who studied various groups . Work with protein electrophoresis began around 1956. Although the results were not quantitative and did not initially improve on morphological classification, they provided tantalizing hints that long held notions of the classifications of bird s, for example, needed substantial revision. In the period of 1974 1986, DNA DNA hybridization was the dominant technique. ref Ahlquist, Jon E., 1999 Charles G. Sibley A commentary on 30 years of collaboration. The Auk , vol. 116, no. 3 July 1999 . A PDF or DjVu version of this article can be downloaded from the issue s http elibrary.unm.edu sora Auk v116n03 index.php table of contents page . ref Techniques and applications ... About primer phylo.html NCBI Systematics and Molecular Phylogenetics phylo Category Phylogenetics ... more details
File Heterobranchia tree.png thumb Graph of neighbor joining phylogenetic tree shows a clear split support visualised by long parallel edges for Acochlidiacea in red color . The graph is based on datasets by J rger et al. 2010 ref name J rger 2010 J rger K. M., St ger I., Kano Y., Fukuda H., Knebelsberger T. & Schr dl M. 2010 . On the origin of Acochlidia and other enigmatic euthyneuran gastropods, with implications for the systematics of Heterobranchia . BMC Evolutionary Biology 10 323. doi 10.1186 1471 2148 10 323 . ref and generated by SplitsTree . A split in phylogenetics is a bipartition of a set of taxon taxa , and the smallest unit of information in unrooted phylogenetic tree s each edge of an unrooted phylogenetic tree represents one split, and the tree can be efficiently reconstructed from its set of splits. Moreover, when given several trees, the splits occurring in more than half of these trees give rise to a consensus tree, and the splits occurring in a smaller fraction of the trees generally give rise to a consensus Phylogenetic network Split Network . See also SplitsTree , a program for inferring phylogenetic split networks. References reflist Category Phylogenetics Category Trees structure ... more details
Unreferenced stub auto yes date December 2009 Primitive , or Premative , is a descriptive term often used in the field of evolution to describe particular species or Trait biology traits that are characteristic of an older evolutionary scale of development relative to more recent developments. For example, prokaryote s such as bacterium bacteria are often described as primitive because they are older in the evolutionary time scale, and are less complex than later organism s such as eukaryote s. This term has fallen out of favor with some Evolutionary biology evolutionary biologists , since it implies that the evolutionary scale is a ladder in which each new addition is superior than organisms in the lower rungs. The argument against this limited interpretation is that far more recent or complex organisms are not always superior to older, simpler organisms. For example, archaea , forms of prokaryotic organisms, are able to survive efficiently in a much broader range of extreme environments than can advanced humans. It is for this reason that many biologists prefer the dichotomy of simple vs. complex, where the evolutionary complexity of organismal functions determines the relationship between sets , rather than levels , of the evolutionary process. In modern biology, phylogeny , the study of evolutionary relationships, takes the form of extending branches. Instead of having the evolutionary system as a division between higher superior and lower inferior organisms, each branch extends outwards to represent temporal and developmental distance. The preferred term for cladism cladists is Basal phylogenetics basal its antonym is derived . DEFAULTSORT Primitive Phylogenetics Category Evolutionary biology Evolution stub no Utviklingsgrad ... more details
Refimprove date May 2009 In phylogenetics , a basal clade is the earliest clade to branch in a larger clade it appears at the base of a cladogram . A basal group forms an Outgroup cladistics outgroup to the rest of the clade, such as in the following example phylogeny Basal group clade Non basal group Non basal group Non basal group Non basal group The word basal is preferred to the term primitive , which may carry false connotations of inferiority or a lack of complexity. The term basal can only be correctly applied to clades of organisms, not to individual traits possessed by the organisms although it can be misused in this manner in technical literature. While the term basal applies to clades, characters or traits are usually considered derived if they are absent in a basal group, but present in other groups. This assumption only holds true if the basal group is a good analogy for the last common ancestor of the group. As an example, the flowering plant family Amborellaceae is considered the most basal Lineage evolution lineage of extant angiosperm s. clade phylogeny Amborellales Clade Monocot s Magnoliid s Eudicot s In animal family Hominidae , the gorillas are an outgroup to chimpanzees and humans. These three species, gorillas, chimpanzees, and humans form a clade, the subfamily Homininae , of which gorillas are the basal member. clade phylogeny Clade Human s Chimpanzee s Gorilla s However, in the family Hominidae, the orangutans form an outgroup to the subfamily Homininae, the clade to which gorillas, chimpanzees, and humans all belong. clade phylogeny Clade Humans Chimpanzees Gorillas Orangutan s References cite journal title A critical reappraisal of the fossil record of the bilaterian phyla first1 Graham E. last1 Budd first2 S ren last2 Jensen journal Biological Reviews publisher Cambridge University Press volume 75 issue 2 year 2000 doi 10.1017 S000632310000548X pages 253 95 pmid 10881389 Category Phylogenetics ca Basal filog nia es Basal fr Base phylog n tique ... more details
Orphan date April 2010 Lead too long date February 2010 Phylogenetics of mimicry Mimicry is well understood and heavily studied within specific mimicry groups, individually referred to as mimicry complexes . However the evolutionary and phylogenetic relationships between mimic model or co mimicry pairs are less apparent. The difficulty many researchers face in trying to build phylogenies for mimicry complexes is trying to discriminate between analogous traits, shared characteristics developed through convergent evolution, and homologous traits, shared characteristics that are due to a shared common ancestor. In some instances it is clear whether some traits are analogous or homologous, as in mimicry complexes involving completely unrelated organisms or those of different orders . In other cases involving similar or same species mimics with different phenotypes , the explanation for trait evolution becomes less clear. To build phylogenies for these groups of mimics, scientists would first need to understand which species is the mimic and which is the model, then afterwards determine how evolution will have proceeded to increase the instances of the shared characteristics. ref Ruxton, G. D., T. N. Sherrat, and M. P. Steed. 2004. Avoiding attack the evolutionary ecology of crypsis, warning signals, & mimicry. Oxford Biology. ref In M llerian mimicry , defended species have evolved similar appearances as a means to share the cost of predator learning M ller, 1862 . The classic example of M llerian mimicry is the Heliconius butterfly. There are 54 species of this unpalatable butterfly with over 700 names applied to its various phenotypes Brower, 1996 . It functions as a perfect M llerian mimic because all species of the Heliconius are inedible and form symbiotic relationships. Extensive research on Heliconius butterflies has even shown not just phenotypic similarities, but also behavioral commonalities within an overlapping territory. ref Mallet, J. and L. E. Gilbert, Jr ... more details
This list of phylogenetics software is a compilation of computationalphylogenetics software used to produce phylogenetic tree s. Such tools are commonly used in comparative genomics , cladistics , and bioinformatics . Methods for estimating phylogenies include neighbor joining , maximum parsimony also simply referred to as parsimony , UPGMA , Bayesian inference in phylogeny Bayesian phylogenetic inference , maximum likelihood and Distance matrices in phylogeny distance matrix methods . class wikitable Name Description Methods Link Author BATWING Bayesian Analysis of Trees With Internal Node Generation Bayesian inference, demographic history, population splits http www.mas.ncl.ac.uk nijw download I. J. Wilson, Weale, D.Balding BayesPhylogenies Bayesian inference of trees using Markov Chain Monte Carlo methods Bayesian inference, multiple models, mixture model auto partitioning http www.evolution.rdg.ac.uk BayesPhy.html download M. Pagel, A. Meade BayesTraits Analyses trait evolution among groups of species for which a phylogeny or sample of phylogenies is available Trait analysis http www.evolution.rdg.ac.uk BayesTraits.html download M. Pagel, A. Meade BEAST Bayesian Evolutionary Analysis Sampling Trees Bayesian inference, relaxed molecular clock, demographic history http beast.bio.ed.ac.uk download or http code.google.com p beast mcmc development & download A. J. Drummond, A. Rambaut Bosque Integrated graphical software to perform phylogenetic analyses, from the importing of sequences to the plotting and graphical edition of trees and alignments Distance and maximum likelihood ... software DEFAULTSORT List Of Phylogenetics Software Category Bioinformatics Category Computationalphylogenetics Category Lists of software Phylogenetics Category Bioinformatics software ... page W. P. Maddison and D. R. Maddison MOLPHY Molecular phylogenetics protein or nucleotide Maximum ... uk.html Institut Pasteur phylogeny webservers http www.expasy.org tools phylo ExPASy List of phylogenetics ... more details
Infobox journal title Molecular Phylogenetics and Evolution cover File Molecular Phylogenetics and Evolution.gif editor D.E. Wildman discipline Phylogeny , evolutionary biology formernames abbreviation Mol. Phylogenet. Evol. publisher Academic Press country United States frequency 12 year history 1992&ndash present openaccess license impact 3.871 impact year 2008 website http www.sciencedirect.com science journal 10557903 link1 link1 name link2 link2 name RSS atom JSTOR OCLC LCCN CODEN ISSN 1055 7903 eISSN Molecular Phylogenetics and Evolution is a peer review ed scientific journal of evolutionary biology and phylogenetics . The journal is edited by D.E. Wildman . Indexing The journal is indexed in EMBiology Journal Citation Reports Scopus Web of Science External links Official http www.elsevier.com wps find journaldescription.cws home 622921 description description Category Elsevier academic journals Category Evolutionary biology journals Category Phylogenetics Category Molecular biology Category Publications established in 1992 ... more details
Non free use rationale Article Molecular Phylogenetics and Evolution Description a cover of the journal Molecular Phylogenetics and Evolution Source http www.sciencedirect.com science journal 10557903 Portion all Low resolution yes Purpose To illustrate the article on the journal. Replaceability no other information publisher Elsevier Category Academic journal covers Licensing Non free magazine cover ... more details
Category Phylogenetics Category Computationalphylogenetics ca M xima parsim nia de Maximale Sparsamkeit ... analysis, and that more characters are more valuable than more taxa in phylogenetics. This has ... tree, as is the case for comparative phylogenetics , these methods cannot solve the problem. However ... more commonly employed in phylogenetics as elsewhere both methods involve an arbitrary but large ... for phylogenetics, but it is a reasonable estimator of accuracy. Citation needed date ... content 023071119251494j Computational complexity of inferring phylogenies from dissimilarity ... this result in phylogenetics, too, some particular phylogenetic problems for example, long branch ... data is the most likely tree. Maximum likelihood, as implemented in phylogenetics, uses a stochastic ... computational power caught up with tremendous demands of ML analysis. Newer algorithms and implementations ... inference in phylogeny Bayesian phylogenetics uses the likelihood function, and is normally implemented .... surname2 Thornton given2 J. W. year 2004 title Performance of maximum parsimony and likelihood phylogenetics ... more details
Economics sidebar Computational economics is a research discipline in economics and computer science ref http www.springer.com economics economic theory journal 10614 Computational Economics. About the journal. Springler. Received at 2010 11 08 ref . Areas encompassed under computational economics include Agent Based Computational Economics agent based computational modeling , computational econometrics and statistics, ref Vassilis A. Hajivassiliou 2008 . computational methods in econometrics, The New ... pde2008 C000559&q Computation&topicid &result number 1 Abstract. ref computational finance, computational modeling of Macroeconomic model dynamic macroeconomic systems , of transaction costs , computational tools for the design of automated Internet markets, programming tools specifically designed for computational economics, and pedagogical tools for the teaching of computational economics. Some of these areas are unique to computational economics, while others extend traditional areas of economics by solving problems that are difficult to study without the use of computers. Computational economics researchers use computational tools both for computational economic modeling and for the computational ... to computational modeling tools, Agent Based Computational Economics ACE is the computational ... through time driven solely by agent interactions. With regard to computational solution tools, examples ... systems of linear and nonlinear equations. For a repository of public domain computational solution ... journals specialize in computational economics http www.springer.com journal 10614 Computational Economics ... and Control . Notes references References Handbook of Computational Economics Hans M. Amman, David A. Kendrick ...&q computational 20economics&topicid &result number 2 Abstract. Herbert Scarf Herbert E. Scarf 2008 . computation ... article?id pde2008 C000573&q computational 20economics&topicid &result number 3 Abstract. External links http comp econ.org Society for Computational Economics http www.jedc.com ... more details
Computational Complexity may refer to Computational complexity theory Computational Complexity journal disambig Short pages monitor This long comment was added to the page to prevent it being listed on Special Shortpages. It and the accompanying monitoring template were generated via Template Longcomment. Please do not remove the monitor template without removing the comment as well. ... more details
Unreferenced auto yes date December 2009 Computational cybernetics is the integration of cybernetics and computational intelligence techniques. The science of computational cybernetics is especially concerned with the comparative study of automatic control systems. Furthermore, computational cybernetics covers not only mechanical, but biological living , social and economical systems and for this uses computational intelligence based results of communication theory , signal processing , information technology , control theory , the theory of adaptive systems and the theory of complex systems game theory , operational research . DEFAULTSORT Computational Cybernetics Category Cybernetics Category Neural networks Compu AI stub ... more details
In academia , computational immunology is a field of science that encompasses high throughput genomic and bioinformatics approaches to immunology . The field s main aim is to convert immunological data into computational problems, solve these problems using mathematical and computational approaches and then convert these results into immunologically meaningful interpretations. The explosive growth of bioinformatics techniques and applications in the post genomics era has radically transformed immunology research . This has led to a comparable growth in the field of computation immunology, or immunoinformatics. See also Computational biology Bibliography http www.ploscompbiol.org article info 3Adoi 2F10.1371 2Fjournal.pcbi.1000128 Getting Started in Computational Immunology External links http www.immunomics.eu Category Bioinformatics Category Immunology ... more details
Computational biology involves the development and application of data analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems. ref name nih http www.bisti.nih.gov docs compubiodef.pdf ref The field is widely defined and includes foundations in computer science , applied mathematics , statistics , biochemistry , molecular biology , genetics , ecology , evolution , anatomy , neuroscience , and scientific visualization visualization . ref http www.brown.edu Research CCMB undergraduate.htm ref Subfields Computational biomodeling main Modelling biological systems Computational biomodeling, a field concerned with building computer model s of biological systems. Computational genomics main Computational genomics Computational genomics, a field within genomics which studies the genome s of cells and organisms. High throughput genome sequencing produces lots of data, which requires extensive post processing genome assembly and uses DNA microarray technologies to perform statistical analyses on the genes expressed in individual cell types. This can help find genes of interest for certain diseases or conditions. This field also studies the DNA sequencing theory mathematical foundations of sequencing ... the capillary electrophoresis units used in large scale DNA sequencing projects. Computational neuroscience main Computational neuroscience Computational neuroscience is the study of brain function .... Computational biology vs. Bioinformatics main Bioinformatics Bioinformatics and computational biology ..., computer science and engineering, biology, and behavioral science. Bioinformatics and computational ... life sciences data more understandable and useful. Computational biology uses mathematical and computational ... and computational biology are distinct, there is also significant overlap and activity at their interface. ref name nih See also Related fields Bioinformatics Computational science Computer ... more details
Computational semantics is the study of how to automate the process of constructing and reasoning with semantics meaning representations of natural language expressions. It consequently plays an important role in natural language processing and computational linguistics . Some traditional topics of interest are semantic analysis linguistics construction of meaning representation s, semantic underspecification , anaphora linguistics anaphora resolution, presupposition projection, and quantifier scope resolution. Methods employed usually draw from formal semantics or statistical semantics . Computational semantics has points of contact with the areas of lexical semantics word sense disambiguation and semantic role labeling , discourse semantics, knowledge representation and automated reasoning in particular, automated theorem proving . Since 1999 there has been an Association for Computational Linguistics ACL special interest group on computational semantics, SIGSEM. Further reading Blackburn, P., and Bos, J. 2005 , Representation and Inference for Natural Language A First Course in Computational Semantics , CSLI Publications. ISBN 1575864967. Bunt, H., and Muskens, R. 1999 , Computing Meaning, Volume 1 , Kluwer Publishing, Dordrecht. ISBN 1402002904. Bunt, H., Muskens, R., and Thijsse .... van, and C. Unger 2010 Computational Semantics with Functional Programming. Cambridge University Press. ISBN 978 0 521 75760 7 Wilks, Y., and Charniak, E. 1976 , Computational Semantics An Introduction .... See also Semantic Web SemEval External links http www.sigsem.org Special Interest Group on Computational Semantics SIGSEM of the Association for Computational Linguistics ACL http let.uvt.nl research ti sigsem iwcs IWCS International Workshop on Computational Semantics endorsed by SIGSEM http staff.science.uva.nl mdr ICoS ICoS Inference in Computational Semantics endorsed by SIGSEM Category Computational linguistics Category Natural language processing Category Semantics it Semantica ... more details
distinguish computer science Science Computational science or scientific computing is the field of study ... underpinning for techniques used in computational science. Applications of computational science Problem domains for computational science scientific computing include Numerical simulations Numerical ... e.g. oil exploration geophysics, computational linguistics . Use graph theory to model networks, especially those connecting individuals, organizations, and websites. Computational optimization ..., front end engineering . Methods and algorithms Algorithms and mathematical methods used in computational ... or Fortran and optimized algebra libraries such as BLAS or LAPACK . Computational science application ... to calculate the next state. The term computational scientist is used to describe someone skilled ... increasingly also impacted on other areas including economics, biology and medicine. Computational science ... of computational science is numerical algorithm ref Nonweiler T. R., 1986. Computational Mathematics An Introduction to Numerical Approximation, John Wiley and Sons ref and or computational mathematics . ref Yang X. S., 2008. Introduction to Computational Mathematics, World Scientific Publishing ref In fact, substantial effort in computational sciences has been devoted to the development of algorithms, the efficient implementation in programming languages, and validation of computational results. A collection of problems and solutions in computational science can be found in Steeb, Hardy ... s and master s programs in computational science. Some schools also offer the Ph.D. in computational science, computational engineering , computational science and engineering, or scientific computation. There are also programs in areas such as computational physics , computational chemistry , etc ... Computational biology Computational chemistry Computational economics Computational electromagnetics Computational engineering Computational finance Computational fluid dynamics Computational forensics ... more details
The Computational Brain is a book by Patricia Churchland and Terry Sejnowski Terrence J. Sejnowski and published in 1992 by The MIT Press, Cambridge, Massachusetts, ISBN 0 262 03188 4. It has cover blurbs by Karl H. Pribram Karl Pribram , Francis Crick , and Carver Mead . Category Science books DEFAULTSORT Computational Brain science book stub ... more details
Wikify date April 2010 Orphan date February 2009 Computational epidemiology is a multidisciplinary field utilizing techniques from computer science, mathematics, geographic information science and public health to develop tools and models to aid epidemiologists in their study of the spread of diseases. It differs from bioinformatics in that it is centered more around studying how diseases spread, and not the actual disease itself. Recently, the University of North Texas founded the Center for Computational Epidemiology and Response Analysis CeCERA as a collaboration of faculty from the fields of Computer Science, Public Health, Medical Geography, and Geographic Information Science. External links http compepi.org Harvard Medical School Children s Hospital Boston Computational Epidemiology Group http compepi.cs.uiowa.edu University of Iowa Computational Epidemiology Group Compepi http dimacs.rutgers.edu tanyabw research comp epidem DIMACS Computational Epidemiology http cerl.unt.edu UNT Computational Epidemiology Research Laboratory http compepid.tuskegee.edu CCEBRA index.htm The Center for Computational Epidemiology, Bioinformatics and Risk Analysis CCEBRA at Tuskegee University Category Computational science med stub ... more details
Refimprove date September 2007 In computational complexity theory , a computational resource is a resource used by some computational model s in the solution of computational problem s. The simplest computational resources are computation time , the number of steps necessary to solve a problem, and memory space , the amount of storage needed while solving the problem, but many more complicated resources have been defined. A computational problem is generally defined in terms of its action on any valid input. Examples of problems might be given an integer n , determine whether n is prime , or given two numbers x and y , calculate the product x y . As the inputs get bigger, the amount of computational resources needed to solve a problem will increase. Thus, the resources needed to solve a problem are described in terms of asymptotic analysis , by identifying the resources as a function of the length or size of the input. Computational resources are useful because we can study which problems can be computed in a certain amount of each computational resource. In this way, we can determine whether algorithm s for solving the problem are optimal and we can make statements about an Algorithmic efficiency algorithm s efficiency . The set of all of the computational problems that can be solved using a certain amount of a certain computational resource is a complexity class , and relationships between different complexity classes are one of the most important topics in complexity theory. Describing generally accessible computing equipment The term Computational resource is commonly used to describe accessible computing equipment and software. See Utility computing . Formal quantification ... and alphabet size to quantify the computational effort required to solve a particular problem ... title Representing Information with Computational Resource Bounds booktitle Signals, Systems ... Computational complexity theory Category Computational resources hr Ra unski resurs ja ... more details
Wikify date June 2010 Computational Thinking is a new way of solving problems that gets its name because it uses many of the same techniques used by computer science. The term computational thinking was first used by Seymour Papert in 1996 ref http www.papert.org articles AnExplorationintheSpaceofMathematicsEducations.html ref . Computational thinking can be used to algorithmically solve complicated problems of scale. Computational thinking is often used to solve problems of efficiency and to realize large improvements in efficiency through novel approaches to problem solving. br ref http www.cs.cmu.edu CompThink ref The concept of computational thinking is being spearheaded by the Center of Computational Thinking at Carnegie Mellon where their major activity is conducting PROBEs or PROB lem oriented E xplorations. These PROBEs are experiments that apply novel computing concepts to problems to show the value of computational thinking. br A PROBE experiment is generally a collaboration between a computer scientist and an expert in the field to be studied. The experiment will generally run for a year and is a way for Carnegie Mellon University to obtain funding. In general, a PROBE will seek to find a solution for a broadly applicable problem and avoid narrowly focused issues. Some examples of PROBE experiments are optimal kidney transplant logistics and how to create drugs that do not breed drug resistant viruses. ref http www.cs.cmu.edu CompThink probes.html ref The phrase computational thinking was brought to the forefront of the computer science community as a result of an ACM Communications article on the subject by Jeannette Wing Jeannette M. Wing. ref http doi.acm.org ... for everyone, not just computer scientists and argued for the importance of integrating computational ... wiki Computational thinking Computational Thinking article in the Scalable Game Design wiki ..., A., Scalable Game Design and the Development of a Checklist for Getting Computational Thinking into Public ... more details
Primary source of Computational Lexicology comes from ACLWiki GNU. It is further formated, edited and supplemented with additional info Computational lexicology is that branch of computational linguistics ... dictionary machine readable dictionaries . It is distinguished from computational lexicography , which ... have used computational lexicography as synonymous . History Computational lexicology emerged as a separate discipline within computational linguistics with the appearance of machine readable ... al. at System Development Corporation . Today, computational lexicology is best known through the creation and applications of WordNet . Study of lexicon Computational lexicology has contributed to the understanding of the content and limitations of print dictionaries for computational purposes i.e. it clarified that the previous work of lexicography was not sufficient for the needs of computational linguistics . Through the work of computational lexicologists almost every portion of a print dictionary ... computational linguists were disenchanted with the print dictionaries as a resource for computational ... programs. The work on computational lexicology quickly led to efforts in two additional directions. Successors to Computational Lexicology First, collaborative activities between computational linguists .... Most computational lexicologists moved on to build large corpora to gather the basic data that lexicographers ... corpora that could be more easily analyzed to create computational linguistic systems. Part of speech ... be for computational linguistic purposes, especially for computational lexical semantic purposes. It was to have ... dictionaries were, if they had been created for use in computational analysis. WordNet can be considered ... such as the FrameNet work of Fillmore. Outside of computational linguistics, the Ontology work ... for AI applications. Standardization Optimizing the production, maintenance and extension of computational ... other NLP programs or applications. To this respect, the various data models of Computational lexicons ... more details
Computational mathematics involves mathematics mathematical research in areas of science where computation computing plays a central and essential role, emphasizing algorithms, numerical methods, and symbolic methods. Computation in the research is prominent. ref name nsf National Science Foundation , Division of Mathematical Science, http www.nsf.gov funding pgm summ.jsp?pims id 5390 Program description PD 06 888 Computational Mathematics , 2006. Retrieved April 2007 ref Computational mathematics emerged as a distinct part of applied mathematics by early 1950s. Currently, computational mathematics can refer to or include computational science , also known as scientific computation or computational engineering solving mathematical problems by computer simulation as opposed to analytic methods of applied mathematics numerical methods used in scientific computation, for example numerical linear ... ref name directions Future Directions in Computational Mathematics, Algorithms, and Scientific Software ... numerical analysis , the theory of numerical methods but theory of computation and Computational ... , and computational algebraic topology computational linguistics , the use of mathematical and computer techniques in natural language s Computational geometry Computational topology Computational .... Foundations of Computational Mathematics Special Volume Handbook of Numerical Analysis , North Holland Publishing, ISBN 978 0444512475 Harris J. W. and Stocker H., 1998. Handbook of Mathematics and Computational Science, Springer Verlag, ISBN 978 0387947464 Yang X. S., 2008. Introduction to Computational Mathematics, World Scientific Publishing, ISBN 978 9812818171 Nonweiler T. R., 1986. Computational ... Gentle J. E., 2007. Foundations of Computational Science, Springer Verlag, ISBN 978 0387004501 General references references External links http www.focm.net Foundations of Computational Mathematics a non profit organization Mathematics footer Category Applied mathematics Category Computational ... more details
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