In theoretical computer science , a computationalproblem is a mathematical object representing a collection of questions that computers might want to solve. For example, the problem of factoring Given a positive integer n , find a nontrivial prime factor of n . is a computationalproblem. Computational ... of computational problems A decision problem is a computationalproblem where the answer for every instance is either yes or no. An example of a decision problem is primality testing Given a positive integer n , determine if n is prime. A decision problem is typically represented as the set of all ... assumed that any string in 0, 1 sup sup represents an instance of the computationalproblem in question ... studies methods of solving computational problems efficiently. The complementary field of computational complexity attempts to explain why certain computational problems are intractable for computers. A computationalproblem can be viewed as an infinite collection of instances together with a solution for every instance. For example in the factoring problem, the instances are the integers n ... set L 2, 3, 5, 7, 11, ... In a search problem , the answers can be arbitrary strings. For example, factoring is a search problem where the instances are string representations of positive integers and the solutions are string representations of collections of primes. A search problem is represented ... factor of n . A counting problem complexity counting problem asks for the number of solutions to a given search problem. For example, the counting problem associated with primality is Given a positive integer n , count the number of nontrivial prime factors of n . A counting problem can be represented ... problem associated to R is the function f sub R sub x y x , y R . An optimization problem asks for finding the best possible solution among the set of all possible solutions to a search problem. One example is the maximum independent set problem Given a graph G , find an Independent set graph ... more details
No Problem may refer to No Problem Sonny Rollins album No Problem Sonny Rollins album , a 1981 album No Problem Fann Wong album No Problem Fann Wong album , a 2000 album No Problem TV series No Problem TV series , a British television series No Problem film No Problem film , a 2010 Bollywood film disambig ... more details
Otheruses Wiktionary A problem is an obstacle, impediment, difficulty or challenge, or any situation ... purpose or goal. Individual awareness of a problem constitutes awareness of a desired outcome ... the outcome from taking place. Problem solving main Problem solving Every theoretical problem asks for an answer or solution. Trying to find a solution to a problem is known as problem solving . That is, a problem is a gap between an actual and desired situation. The time it takes to solve a problem ... classified as an open problem . See also List of unsolved problems From the mid 20th century, the field ... Mathematical problem is a question about mathematical objects and structures that may require a distinct answer or explanation or mathematical proof proof . Examples include Word problem mathematics ... with only four colours . In society , a problem can refer to particular social issue s, which if solved ... hostility and disruption. See also Wicked problem In business and engineering , a problem is a difference between actual conditions and those that are required or desired. Often, the causes of a problem ... corrective actions. In Chess problem chess , a problem is a puzzle set by somebody using chess pieces .... In theology , there is what is referred to as the Synoptic Problem , which includes in its ... in the Gospels accounts of allegedly historical events. In academic discourse a problem is a challenge ... or idea. An optimization problem is finding the best solution from all feasible solutions. A good example of this type of problem is the travelling salesperson problem which is based on calculating the most efficient route between many places In computability theory a decision problem requires a simple yes or no answer. In rock climbing a problem is a series of Rock geology rock s that forces the climber to climb. In Reading process reading , a problem is a combination of a series of words ... problem is presented. Motion physics Motion is achieved via mechanical interaction of the legs and a surface ... more details
and alphabet size to quantify the computational effort required to solve a particular problem ...Refimprove date September 2007 In computational complexity theory , a computational resource is a resource used by some computational model s in the solution of computationalproblem 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 computationalproblem 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 ... 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 ... 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 ..., WI , ACM Press. Category Problem solving Comp sci stub ... 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 ... problem is the interoperability various lexicons are frequently incompatible. The most frequent situation ... more details
underpinning for techniques used in computational science. Applications of computational science Problem domains for computational science scientific computing include Numerical simulations Numerical ...distinguish computer science Science Computational science or scientific computing is the field of study ... 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
for mathematical models of computers Model of computation Unreferenced date October 2008 A computational model is a mathematical model in computational science that requires extensive computational resource s to study the behavior of a complex system by computer simulation . The system under study is often a complex nonlinear system for which simple, intuitive analytical solution s are not readily available. Rather than deriving a mathematical analytical solution to the problem, experimentation with the model is done by changing the parameters of the system in the computer, and studying the differences in the outcome of the experiments. Theories of operation of the model can be derived deduced from these computational experiments. Examples of common computational models are weather forecasting models, earth simulator models, flight simulator models, molecular protein folding models, and neural network models. See also Agent based model Artificial neural network Computational linguistics Decision field theory Membrane computing Ontology information science Programming language theory Category Models of computation de Computermodell es Modelo computacional fa hr Ra unski model ... more details
. Problem classes The core problems in computational geometry may be classified in different ways, according ...Computational geometry is a branch of computer science devoted to the study of algorithms which can be stated in terms of geometry . Some purely geometrical problems arise out of the study of computational geometric algorithms, and such problems are also considered to be part of computational geometry. The main impetus for the development of computational geometry as a discipline was progress in computer ... problems in computational geometry are classical in nature, and may come from mathematical visualization . Other important applications of computational geometry include robotics motion planning ... CAE programming of numerically controlled NC machines . The main branches of computational geometry are Combinatorial computational geometry , also called algorithmic geometry , which deals with geometric ... P. Preparata Preparata and Michael Ian Shamos Shamos dates the first use of the term computational ... Shamos title Computational Geometry An Introduction publisher Springer Verlag year 1985 id 1st edition ... computational geometry , also called machine geometry , computer aided geometric design CAGD , or geometric ... geometry and is often considered a branch of computer graphics or CAD. The term computational geometry in this meaning has been in use since 1971. ref A.R. Forrest, Computational geometry , Proc. Royal Society London , 321, series 4, 187 195 1971 ref Combinatorial computational geometry The primary goal of research in combinatorial computational geometry is to develop efficient algorithm s and data ... pair problem Given n points in the plane, find the two with the smallest distance from each other. One .... A classic result in computational geometry was the formulation of an algorithm that takes O n ... O n log log n time, have also been discovered. Citation needed date May 2010 Computational geometry focuses heavily on computational complexity since the algorithms are meant to be used on very ... more details
About computational science applied in physics theories comparing the universe to a computer digital physics Computational physics Computational physics is the study and implementation of numerical algorithm s to solve problems in physics for which a quantitative theory already exists. It is often regarded as a subdiscipline of theoretical physics but some consider it an intermediate branch between theoretical and experimental physics . Physicist s often have a very precise mathematical theory describing how a system will behave. Unfortunately, it is often the case that solving the theory s equations ab initio in order to produce a useful prediction is not practical. This is especially true with quantum mechanics , where only a handful of simple models admit closed form, analytic solutions. In cases where the equations can only be solved approximately, computational methods are often used. Applications of computational physics Computation now represents an essential component of modern ... , solid state physics and soft condensed matter physics. Computational solid state physics, for example ..., for example the finite difference method and the finite element method The matrix eigenvalue problem &ndash the problem of finding eigenvalue s of very large matrices, and their corresponding eigenvectors eigenstates in quantum physics The pseudo spectral method Computational physics also encompasses ... dynamics Computational fluid dynamics Computational Magnetohydrodynamics DCOMP Division of Computational Physics of the American Physical Society List of publications in physics Computational physics Important publications in computational physics Scientific computing Computational Science Mathematical physics Open Source Physics , computational physics libraries and pedagogical tools Plasma modeling External links http phycomp.technion.ac.il C20 C20 IUPAP Commission on Computational Physics ... Framework DEFAULTSORT Computational Physics Category Computational physics ar ... more details
dablink For the scientific journal, see Computational Mechanics journal Computational Mechanics . Computational mechanics is the discipline concerned with the use of computational methods to study phenomena governed by the principles of mechanics . Before the emergence of computational science also called scientific computing as a third way besides theoretical and experimental sciences, computational ... to be a sub discipline within computational science. Process Scientists within the field of computational ... refinement . Depending on the nature of the problem, supercomputer s or Parallel computing parallel ... form expression analytical solution s are available. Quite frequently, new numerical or computational ... and often physical interpretations will be given to the results. Overview Computational ... . Computational fluid dynamics , computational thermodynamics, Computational electromagnetics , computational solid mechanics are some of the many specializations within CM. The areas of mathematics most related to computational mechanics are partial differential equation s, linear algebra and numerical ... widely used programming language in the scientific community, including computational mechanics ... where computational mechanics have been put to practical use are Crash simulation vehicle crash ..., and semiconductor modeling. In the last century, especially in the second half thereof, computational ... the tools provided by computational mechanics. With the incorporation of quantum, molecular and biological ... United States Association for Computational Mechanics http www.usacm.org Miscellaneous Scordim 8pPM.pdf USACM report on the future of computational mechanics http cmr.mech.unsw.edu.au UNSW Computational Mechanics and Robotics Group http www.come.tum.de cms M.Sc. in Computational Mechanics http www.eng.fea.ru Computational Mechanics Laboratory CompMechLab , Russia http www.santafe.edu cmg compmech ... to Computational Mechanics http www.springer.com 466 Journal of Computational Mechanics DEFAULTSORT ... more details
Algorithmic topology , or computational topology , is a subfield of topology with an overlap with areas of computer science , in particular computational geometry and computational complexity theory . A primary concern of algorithmic topology, as its name suggests, is to develop efficient algorithm s for solving topological problems, or using topological methods to solve algorithmic problems from other fields. Major algorithms by subject area Algorithmic 3 manifold theory A large family of algorithms concerning 3 manifold s revolve around normal surface theory, which is a phrase that encompasses several techniques to turn problems in 3 manifold theory into integer linear programming problems .... ref Saul Schleimer went on to show the problem lies in the complexity class NP complexity NP . ref ... problem for groups word problem . ref J.Manning, Algorithmic detection and description of hyperbolic structures on 3 manifolds with solvable word problem, Geometry and Topology 6 2002 1 26 ref At present ... is known to be in the complexity class NP complexity NP ref The computational complexity of knot ... 185 211 1999 ref The problem of determining the genus of a knot is known to have complexity class PSPACE .... ref http katlas.math.toronto.edu wiki Main Page ref Computational homotopy Computational methods for Homotopy groups of spheres Computational methods homotopy groups of spheres . Computational methods ... 2 65 1957 pp 1 20 ref although it is not widely considered implementable. See also Computational ... of Topology in Science and Engineering http comptopfs.stanford.edu Computational Topology at Stanford ... http books.google.com books?id AShKtpi3GecC Computational Homology publisher Springer year 2004 isbn ...?id MDXa6gFRZuIC Computational Topology An Introduction , Herbert Edelsbrunner, John L. Harer, AMS Bookstore, 2010, ISBN 978 0 8218 4925 5 DEFAULTSORT Computational Topology Category Computational topology Category Applied mathematics Category Computational complexity theory Category Computational ... more details
Computational imaging refers to any image formation method that involves a digital computer . Computational photography refers broadly to computational imaging techniques that enhance or extend the capabilities of digital photography . The output of these techniques is an ordinary photograph, but one that could not have been taken by a traditional camera . Its current definition, which stems from a 2004 course at Stanford University and a 2005 symposium at MIT see links below , has evolved to cover a number of subject areas in computer graphics , computer vision , and applied optics . These areas are given below, organized according to a taxonomy proposed by Shree K. Nayar . Within each area is a list of techniques, and for each technique one or two representative papers or books are cited. Deliberately omitted from the taxonomy are image processing see also digital image processing techniques ... BRDF s, or other high dimensional image based representations. Computational illumination Controlling ..., geometry material recovery and so forth. Computational optics Capture of optically coded images, followed by computational decoding to produce new images. Coded aperture imaging was mainly applied ... problem . Similarly, in a lens based coded aperture, the aperture can be modified by inserting a broadband ... problem . The coded aperture can also improve the quality in light field acquisition using Hadamard transform optics. Computational processing Processing of non optically coded images to produce new images. Computational sensors Detectors that combine sensing and processing, typically in hardware. Early work in computer vision Although computational photography is a currently popular buzzword ... http www.amazon.com dp 1568813139 Computational Photography Raskar, R., Tumblin, J., , A.K. Peters ... on Computational Photography , IEEE Computer, August 2006. http www.computer.org portal web computingnow cgacfp1 Camera Culture and Computational Journalism Capturing and Sharing Visual Experiences ... more details
The term Computational visualistics is used for addressing the whole range of investigating scientifically pictures in the computer. ref http www.jrjs.de Work Papers P00 P00 2 index.html Schirra 2000 . ref Overview image Images take a rather prominent place in contemporary life in the western societies. Together with language, they have been connected to human culture from the very beginning. For about one century after several millennia of written word s dominance their part is increasing again remarkably. Steps toward a general science of images, which we may call general visualistics in analogy ... in general. In analogy to computational linguistics , the artificial expression computational ... groups of algorithms for that data type to be considered in computational visualistics Algorithms from ... is actually not restricted to pictures. But it has performed important precursory work for computational ... try to teach loosely speaking computers the ability of visual perception . Therefore, a problem ... property has been visualized. Computational Visualistics Degree Programmes The subject of computational ... computational visualistics is also used for a similar degree programme of the University ..., Thomas Strothotte & Winfried Marotzki 2003 . Computational Visualistics, Media Informatics, and Virtual ... Papers P99 P99 1 index.html Computational Visualistics Bridging the Two Cultures in a Multimedia Degree ... www.jrjs.de Work Papers P00 P00 2 index.html html A New Theme for Educating New Engineers Computational ... R. J. Schirra 2005 . http www.jrjs.de Work Papers P04 P04 2 index.html Foundation of Computational ... P05 P05 2 index.html Computational Visualistics Dealing with Pictures in Computer Science . In K. Sachs ... External links http www.computervisualistik.de Computational visualistics degree programme at Otto ... http www.jrjs.de Work Projects ComputerVisualistik index.html Project Computational visualistics Category Computational science visualistics de Computervisualistik ... 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
Computational epistemology is a subdiscipline of formal epistemology that studies the intrinsic complexity of inductive problems for ideal and computationally bounded agents. In short, computational epistemology is to inductive reasoning induction what recursion theory is to Deductive reasoning deduction . Themes Some of the themes of computational epistemology include the essential likeness of inductive reasoning induction and Deductive reasoning deduction as illustrated by systematic analogies between their respective complexity classes the treatment of discovery, prediction and assessment methods as Effective method effective procedures algorithms as originates in algorithmic learning theory ... the question, or augmenting the collection of potential strategies all tend to make a problem easier to solve Kelly, 2000a On the divergence of computational epistemology from Bayesian confirmation theory ... Kelly, 2000a Computational epistemology in a nutshell Formal learning theory is very simple in outline. An inductive problem specifies a range of epistemically possible worlds over which to succeed and determines ... should converge to a correct output in each possible world. A method solves the problem in a given ... specified by the problem. We say that such a method is reliable since it succeeds over all the epistemically ... . Efficient Convergence Implies Ockham s Razor , Proceedings of the 2002 International Workshop on Computational ..., Kevin 2004a . Uncomputability The Problem of Induction Internalized, Theoretical Computer Science ... to a problem of Mostowski , Journal of Symbolic Logic, 30 1 49 57, 1965. Quine, W. V. 1992 ... A Case Study in the Problem of Induction , The British Journal for the Philosophy of Science ... links http www.hss.cmu.edu philosophy research epistemology.php Research Areas Computational Epistemology ... Computational learning theory Epistemology Formal epistemology Inductive reasoning Language identification in the limit Machine learning Methodology Philosophy of science Problem of induction Scientific ... 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
Computational chemistry is a branch of chemistry that uses principles of computer science to assist in solving ... cation hydrogen molecular ion see references therein for more details , the quantum n body problem ..., a group of molecules, or a solid. Computational chemistry methods range from highly accurate ... remains. The goal of computational chemistry is to minimize this residual error while keeping the calculations ... problem in cheminformatics is to predict the binding affinity of drug molecules to a given target .... The books that were influential in the early development of computational quantum chemistry include ... Sutcliffe B. T., title The development of Computational Chemistry in the United Kingdom journal Reviews in Computational Chemistry volume 70 pages 271 316 year 1997 ref The first ab initio Hartree&ndash ... 99 pages 8127 8134 year 1977 doi 10.1021 ja00467a001 ref One of the first mentions of the term computational ... by Sidney Fernbach and Abraham Haskell Taub, where they state It seems, therefore, that computational ... of a new emerging discipline of computational chemistry . ref http www3.interscience.wiley.com cgi bin bookhome 114034476 Reviews in Computational Chemistry vol 1, preface ref The Journal of Computational ... may be defined as a mathematical description of chemistry, whereas computational chemistry is usually ... reaction s. Computational chemists, in contrast, may simply apply existing computer programs and methodologies to specific chemical questions. There are two different aspects to computational chemistry Computational studies can be carried out to find a starting point for a laboratory synthesis ... peaks. Computational studies can be used to predict the possibility of so far entirely unknown molecules or to explore reaction mechanisms that are not readily studied by experimental means. Thus, computational ... to find entirely new chemical objects. Several major areas may be distinguished within computational ... . Computational approaches to help in the efficient synthesis of compounds. Computational approaches ... more details
cleanup jargon date December 2008 Computational lithography also known as computational scaling is the set of mathematical and algorithmic approaches designed to improve the resolution attainable through photolithography . Computational lithography has come to the forefront of photolithography in 2008 as the semiconductor industry grappled with the challenges associated with the transition to 22 nanometer ... the changing landscape computational lithography. A short history of computational lithography Computational ... of run time. This predicted exponential increase in computational complexity for mask synthesis on moving ... to this problem, started to appear, techniques from custom hardware acceleration to radical new ... processors. The term computational lithography was first used by Brion Technology now a subsidiary ... new computational lithography techniques such as Source Mask Optimization SMO is seen as a way to squeeze ... settled on the term Computational Lithography to describe and promote the set of Mask Synthesis technologies required for 22 nm. Techniques comprising computational lithography Computational lithography ... , etc. ref name LaPedus2008 Citation last LaPedus first Mark title IBM rolls computational scaling ... Correction OPC Optical proximity correction uses computational methods to counteract the effects ... treats the OPC as an inverse imaging problem, is also a useful technique because it can provide ... of the lens system and photoresist Beyond the models used for RET and OPC, computational lithographics ... or more The computational effort behind these methods is immense. According to one estimate, the calculations ... name Wiley2006 Citation last Wiley first Jim title Future challenges in computational lithography ... 254908 5 none none Dept Future challenges in computational lithography postscript none ref This does ... that will to be modeled in production computational photolithographic mask making flows. Brion Technologies ..., markets a rack mounted hardware accelerator dedicated for use in making computational lithographic ... 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
Merge from Electromagnetic field solver discuss Talk Computational electromagnetics Merger proposal date August 2010 Computational electromagnetics , computational electrodynamics or electromagnetic modeling ... of computational electromagnetics deals with electromagnetic radiation light scattering by particles ...? What are the computational issues? Expand section date October 2008 Several real world electromagnetic ... of irregular geometries found in actual devices. Computational numerical techniques ... relations of media, and boundary conditions. This makes computational electromagnetics CEM ... phone antenna design, among other applications. CEM typically solves the problem of computing the E Electric , and H Magnetic fields across the problem domain e.g., to calculate antenna radiation ... 1D. An Eigenvalue, eigenvector and eigenspace eigenvalue problem formulation of CEM allows us to calculate ... computational method of solving linear partial differential equations which have been formulated ... more efficient in terms of computational resources for problems with a small surface volume ratio. Conceptually ... populated matrices. This means that the storage requirements and computational time will tend to grow according to the square of the problem size. By contrast, finite element matrices are typically ... grow linearly with the problem size. Compression techniques e.g. multipole expansions or adaptive ... of the problem. BEM is applicable to problems for which Green s function s can be calculated. These usually ... the number of unknowns at a minimum and thus reduces computational time for nonorthogonal geometries .... Pseudospectral time domain PSTD This class of marching in time computational techniques for Maxwell ... in PSTD Techniques, Chapter 17 in Computational Electrodynamics The Finite Difference Time Domain ... the Born approximation , in that the details of the problem are treated as a perturbation .... Jin, E. Michielssen, and J. Song title Fast and Efficient Algorithms in Computational Electromagnetics ... 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
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