citations missing date January 2011 Iterativedesign is a design methodology based on a cyclic process ... the most recent iteration of a design, changes and refinements are made. This process is intended to ultimately improve the quality and functionality of a design. In iterativedesign, interaction ... versions, or iterations of a design are implemented. Iterativedesign process The iterativedesign process may be applied throughout the new product development process. However, changes are easiest ... Human computer interfaces Iterativedesign is commonly used in the development of human computer .... ref cite journal title Iterative User Interface Design year 1993 author Nielsen, J. journal IEEE Computer vol.26 no.11 pp 32 41 ref The typical steps of iterativedesign in user interfaces ... until user interface problems are resolved Iterativedesign in user interfaces can be implemented in many ways. One common method of using iterativedesign in computer software is software testing . While ... modification following its release. Iterativedesign in online website interfaces is a more continuous ... modifications based on recommendations from visitors to their sites. Iterativedesign use Iterative ... of the iterativedesign s implementation approach extends as far into the system as it is able ... equipped to suit user needs. Iterativedesign applies in many fields, from making knives to rockets ... reasons, custom made components may be developed. Several instances of iterativedesign are as follows Wiki A wiki is a natural repository for iterativedesign. The Page History facility allows tracking ... law a form of iterativedesign where there should be a clear audit trail of the development of legal ... and continuous improvement . Benefits When properly applied, iterativedesign will ensure a product ... of the ACM vol.31 no.4 pp 428 439 ref Other benefits to iterativedesign include Serious misunderstandings ... Citation Style External links http www.useit.com papers iterativedesignIterative User Interface Design ... more details
Orphan date February 2009 Notability date February 2009 Infobox Book name Iterative Receiver Design image Image Iterative Receiver Design cover.jpg 200px image caption author Henk Wymeersch country England language English subject Receiver radio Receiver Design, Factor graph publisher Cambridge University Press release date 2007 pages 272 pages isbn 9780521873154 dewey 518.1 22 congress TK5103.7 .W96 2007 oclc 148865760 website http www.cambridge.org us catalogue catalogue.asp?isbn 0521873150 Iterative Receiver Design is a 2007 engineering book by Henk Wymeersch published by Cambridge University Press . The book provides a framework for developing iterative algorithms for digital receivers, exploiting the power of factor graphs. ref http www.cambridge.org us catalogue catalogue.asp?isbn 0521873150 ref Chapters Introduction Digital communication Estimation theory and Monte Carlo techniques Factor graphs and the Sum Product algorithm Statistical inference using factor graphs State space models Factor graphs in digital communication Decoding Demapping Equalization general formulation Equalization single user single antenna communication Equalization multi antenna communication Equalization multi user communication Synchronization and channel estimation Appendices References Reflist Category 2007 books Category Electrical engineering books Category Cambridge University Press books science book stub . ... more details
Summary Non free use rationale Article Iterative Receiver Design book Description Book cover Source Downloaded from http www.cambridge.org us catalogue catalogue.asp?isbn 0521873150 creator of this digital version is irrelevant as the copyright in all equivalent images is still held by the same party . Copyright held by the publisher or the author. Claimed as fair use regardless. Portion Book cover only, a small portion of the commercial product. Low resolution Yes Purpose The image serves as the primary means of visual identification of the subject the book . It illustrates educational articles about the book from which the cover illustration was taken. Replaceability There is no free equivalent of this book cover, so the image cannot be replaced by a free image. other information The use of the cover will not affect the value of the original work or limit the copyright holder s rights or ability to distribute the original. In particular, copies could not be used to make illegal copies of the book. Licensing Non free book cover ... more details
In computational mathematics , an iterative method is a mathematical procedure that generates a sequence of improving approximate solutions for a class of problems. A specific implementation of an iterative method, including the Algorithm Termination termination criteria, is an algorithm of the iterative method. An iterative method is called convergent if the corresponding sequence converges for given initial approximations. A mathematically rigorous convergence analysis of an iterative method is usually performed however, heuristic based iterative methods are also common. In the problems of root finding algorithm finding the root of an equation or a solution of a system of equations , an iterative ... Ax b by Gaussian elimination . Iterative methods are often the only choice for nonlinear equation s. However, iterative methods are often useful even for linear problems involving a large number ... In the case of a system of linear equations , the two main classes of iterative methods are the stationary iterative methods , and the more general Krylov subspace methods. Stationary iterative methods Stationary iterative methods solve a linear system with an Operator mathematics operator approximating ... of matrices. Examples of stationary iterative methods are the Jacobi method , Gauss Seidel method ... of rounding errors this statement does not hold moreover, in practice N can be very large, and the iterative ... The approximating operator that appears in stationary iterative methods can also be incorporated ... methods can be considered as accelerations of stationary iterative methods , where they become ... is a large research area. History Probably the first iterative method for solving .... The theory of stationary iterative methods was solidly established with the work of D.M. ... for the Solution of Linear Systems http www users.cs.umn.edu saad books.html Y. Saad Iterative Methods for Sparse Linear Systems , 1st edition, PWS 1996 Optimization algorithms Category Iterative ... more details
Refimprove date July 2007 Iterative reconstruction refers to Iteration iterative algorithms used to reconstruct 2D and 3D images in certain Digital imaging imaging techniques. For example, in computed tomography an image must be reconstructed from projections of an object. Here, iterative reconstruction techniques are a better, but computationally more expensive, alternative to the common filtered back projection FBP method, which directly calculates the image in a single reconstruction step. ref name ref1 Herman, G. T., Fundamentals of computerized tomography Image reconstruction from projection, 2nd edition, Springer, 2009 ref Basic concepts The reconstruction of an image from the acquired data is an inverse problem . Often, it is not possible to exactly solve the inverse problem directly. In this case, a direct algorithm has to approximate the solution, which might cause visible reconstruction Digital artifact artifacts in the image. Iterative algorithms approach the correct solution ... to iterative image reconstruction algorithms, e.g. . ref name pwl J A Fessler, Penalized weighted ... some form of regularization . An algorithm , usually iterative, for minimizing the cost function .... Advantages The advantages of the iterative approach include improved insensitivity to signal noise ... of two iterative techniques for reducing metal artifacts in computed tomography. Radiology, doi 10.1148 .... and Frahm, J. 2007 , Undersampled radial MRI with multiple coils. Iterative image reconstruction using ..., with iterative algorithms it is possible to reconstruct images from data acquired in a very short ... nbm.1585 ref Here is an example that illustrates the benefits of iterative image reconstruction for cardiac MRI. File Heart direct vs iterative reconstruction.png frame A single frame from a Real time MRI movie of a human heart . a direct reconstruction b iterative nonlinear inverse reconstruction ref ... Iterative reconstruction DEFAULTSORT Iterative Reconstruction Category Medical imaging zh ... more details
Iterative refinement is an iterative method proposed by James H. Wilkinson to improve the accuracy of numerical solutions to systems of linear equations . When solving a linear system math var Ax var var b var , due to the presence of Round off error rounding error s, the computed solution math var x var & x302 may sometimes deviate from the exact solution math var x var sup sup . Starting with math var x var sub 1 sub var x var & x302 , iterative refinement computes a sequence math var x var sub 1 sub , var x var sub 2 sub , var x var sub 3 sub , & x7d which converges to math var x var sup sup when certain assumptions are met. Description For math var m var 1,2,&hellip , the math m math th iteration of iterative refinement consists of three steps Compute the residual br math var r var sub var m var sub var b var &minus var Ax var sub var m var sub Solve the system br math var Ad var sub var m var sub var r var sub var m var sub Add the correction br math var x var sub var m var 1 sub var x var sub var m var sub var d var sub var m var sub Error analysis Assuming that each solve step is reasonably accurate, i.e., in mathematical terms, for every math var m var , we have math var A var var I var var F sub m sub var var d sub m sub var var r sub m sub var where math & x2016 var F sub m sub var & x2016 sub &infin sub 1 , the Approximation error relative error in the math m math th iterate of iterative refinement satisfies math frac lVert boldsymbol x m boldsymbol x ast rVert infty lVert boldsymbol x ast rVert infty leq bigl sigma kappa infty boldsymbol A epsilon 1 bigr m mu 1 epsilon 1 mu 2n kappa infty boldsymbol A epsilon 2 math where math & x2016 · & x2016 sub &infin sub denotes the Uniform norm math &infin norm of a vector, math var &kappa var sub &infin sub var A var is the math &infin condition number of math var A var , math n math is the order of math var A var ... Prentice Hall location Englewood Cliffs, NJ year 1963 cite journal title Iterative Refinement in Floating ... more details
No footnotes date August 2011 Iterative Learning Control ILC is a method of Process control tracking control for systems that work in a repetitive mode. Examples of systems that operate in a repetitive manner include robot arm manipulators, chemical batch processes and Reliability engineering reliability testing rigs. In each of these tasks the system is required to perform the same action over and over again with high Accuracy and precision precision . This action is represented by the objective of accurately tracking a chosen reference signal math r t math on a finite time interval. Repetition allows the system to improve tracking accuracy from repetition to repetition, in effect learning the required input needed to track the reference exactly. The learning process uses information from previous repetitions to improve the control signal ultimately enabling a suitable control action can ... tracking can be achieved but the design of the control algorithm still leaves many decisions to be made ... error during the pth repetition and K is a design parameter representing operations on math e p ... dynamics. The operation math K math is crucial to achieving design objectives and ranges from simple ... first K.L. year 1993 title Iterative Learning Control for Deterministic Systems publisher Springer ... and Nonlinear Iterative Learning Control publisher Springer Verlag page 177 isbn 3540401733 Cite journal author Bristow, D. A. Tharayil, M. Alleyne, A. G. title A Survey of Iterative Learning Control ... in iterative learning control journal International Journal of Control date 20 July 2003 ... J. title Iterative learning control An optimization paradigm journal Annual Reviews in Control ... S. Owens D.H. title Iterative Learning Control Monotonicity and Optimization journal International ... 10.2478 v10006 008 0026 7 External links http www.sheffield.ac.uk ilc Southampton Sheffield Iterative Learning Control SSILC Use dmy dates date September 2010 DEFAULTSORT Iterative Learning Control Category ... more details
Iterative and Incremental development is at the heart of a cyclic software development process developed ... with deployment with the cyclic interactions in between. Image Iterative development model V2.jpg thumb 300px An iterative development model Software development process Iterative and incremental development ... is to develop a system through repeated cycles iterative and in smaller portions at a time incremental .... At each iteration, design modifications are made and new functional capabilities are added. The procedure ... list, and the analysis of the current version of the system. The goal for the design and implementation ... or as a task added to the project control list. The level of design detail is not dictated by the interactive approach. In a light weight iterative project the code may represent the major source of Software documentation documentation of the system however, in a critical iterative project a formal Software Design Document may be used. The analysis of an iteration is based upon user feedback ... of the analysis results. Image Development iterative.gif thumb 320px Iterative development. Phases ... analysis, design, implementation, and testing of the functional requirements. Transition delivers the system ... of early usage are provided in Craig Larman and Victor Basili s article Iterative and Incremental Development A Brief History ref http doi.ieeecomputersociety.org 10.1109 MC.2003.1204375 Iterative ... process . Some organizations, such as the US Department of Defense, have a preference for iterative ... or more blocks, with increasing increments of capability...software development shall follow an iterative ... end of the project. Backtracking is possible in an iterative approach. Implementation guidelines Guidelines that drive the implementation and analysis include Any difficulty in design, coding and testing .... If they are not, there is a basic problem such as a design flaw or a proliferation of Patch computing ... Kaizen Rational Unified Process Unified Process Microsoft Solutions Framework Interaction Design OpenUP ... more details
Iterative Closest Point ICP is an algorithm employed to minimize the difference between two clouds of points. ICP is often used to reconstruct 2D or 3D surfaces from different scans, to localize robots and achieve optimal path planning especially when wheel odometry is unreliable due to slippery terrain , to co register bone models, etc. The algorithm is conceptually simple and is commonly used in real time. It iteratively revises the transformation translation, rotation needed to minimize the distance between the points of two raw scans. Inputs points from two raw scans, initial estimation of the transformation, criteria for stopping the iteration. Output refined transformation. Essentially the algorithm steps are Associate points by the Nearest neighbor search nearest neighbor criteria. Estimate transformation parameters using a Mean squared error mean square cost function. Transform the points using the estimated parameters. Iterative method Iterate re associate the points and so on . See also MeshLab an open source mesh processing tool that includes a GNU General Public License implementation of the ICP algorithm. CloudCompare an open source point and model processing tool that includes an implementation of the ICP algorithm. PCL Point Cloud Library is an open source framework for n dimensional point clouds and 3D geometry processing. It includes several variants of the ICP algorithm. External links http citeseerx.ist.psu.edu viewdoc summary?doi 10.1.1.42.9338 Iterative Point ... Finite Iterative Closest Point Method Matlab http www.mathworks.com matlabcentral fileexchange loadFile.do?objectId 12627&objectType file Iterative Closest Point Method in Matlab http www.mathworks.com matlabcentral fileexchange loadFile.do?objectId 16766&objectType file Iterative Closest Point Method in C Mathapplied stub Category Geometry in computer vision de Iterative Closest Point Algorithm eo Iteracia plej proksima punkto fr Iterative Closest Point pl Iteracyjny najbli szy punkt algorytm ... more details
Summary Information Description Iterative development Source I User Duwwel Duwwel User talk Duwwel talk created this work entirely by myself using the public domain gif found at File Development iterative.gif Date 09 40, 5 May 2010 UTC Author User Duwwel Duwwel User talk Duwwel talk other versions Licensing PD self date May 2010 Orphan image Copy to Wikimedia Commons bot Fbot ... more details
about iterative methods for solving systems of equations other uses Relaxation disambiguation In numerical mathematics , relaxation methods are iterative method s for solving simultaneous equations systems of equations , including nonlinear systems. ref name OrtegaRheinboldt cite book last1 Ortega first1 J. M. last2 Rheinboldt first2 W. C. title Iterative solution of nonlinear equations in several variables edition Reprint of the 1970 Academic Press series Classics in Applied Mathematics volume 30 publisher Society for Industrial and Applied Mathematics SIAM location Philadelphia, PA year 2000 pages xxvi 572 isbn 0 89871 461 3 mr 1744713 ref harv ref Relaxation methods were developed for solving large sparse matrix sparse linear system s, which arose as finite difference finite difference discretization ... first Katta G. authorlink Katta G. Murty chapter 16 Iterative methods for linear inequalities and linear programs especially 16.2 Relaxation methods, and 16.4 Sparsity preserving iterative SOR ... Sciences , 1994, SIAM. ISBN 0 89871 321 8. ref ref name Young David M. Young, Jr. Iterative Solution ... S. Varga 2002 Matrix Iterative Analysis , Second ed. of 1962 Prentice Hall edition , Springer Verlag. ref These iterative methods of relaxation should not be confused with relaxation approximation ... more important than the choice of iterative method, according to Yousef Saad . ref name Saad Yousef Saad , http www users.cs.umn.edu 7Esaad books.html Iterative Methods for Sparse Linear Systems , 1st ... 89871 321 8. cite book last1 Ortega first1 J. M. last2 Rheinboldt first2 W. C. title Iterative solution ... 7Esaad books.html Iterative Methods for Sparse Linear Systems , 1st edition, PWS, 1996. Richard S. Varga 2002 Matrix Iterative Analysis , Second ed. of 1962 Prentice Hall edition , Springer Verlag. David M. Young, Jr. Iterative Solution of Large Linear Systems , Academic Press, 1971. reprinted ... year 1993 Category Iterative methods Category Numerical linear algebra Category Relaxation iterative ... more details
The iterative proportional fitting procedure IPFP , also known as biproportional fitting in statistics, RAS algorithm ref cite journal last Bacharach first M. year 1965 title Estimating Nonnegative Matrices from Marginal Data journal International Economic Review volume 6 pages 294 310 doi 10.2307 2525582 jstor 2525582 issue 3 publisher Blackwell Publishing ref in economics and matrix raking or matrix scaling in computer science is an iterative algorithm for estimating cell values of a contingency table such that the marginal totals remain fixed and the estimated table decomposes into an outer product . First introduced by W. Edwards Deming Deming and Stephan in 1940 ref cite journal last Deming first W. E. authorlink W. Edwards Deming last2 Stephan first2 F. F. year 1940 title On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known journal Annals of Mathematical Statistics volume 11 issue 4 pages 427 444 mr 3527 doi 10.1214 aoms 1177731829 ref they proposed IPFP as an algorithm leading to a minimizer of the Pearson X squared statistic , which it does not , ref cite journal last Stephan first F. F. year 1942 title Iterative method of adjusting frequency tables when expected margins are known journal Annals of Mathematical Statistics volume 13 issue 2 pages 166 178 mr 6674 zbl 0060.31505 doi 10.1214 aoms 1177731604 ref and even failed to prove convergence , it has seen various extensions and related research. A rigorous proof of convergence by means of differential geometry is due to Stephen Fienberg Fienberg 1970 . ref cite journal last Fienberg first S. E. authorlink Stephen Fienberg year 1970 title An Iterative Procedure for Estimation ... behavior have been published by Pukelsheim and Simeone 2009 . ref cite web title On the Iterative .... If unique MLEs do not exist, IPFP converges toward the so called extended MLEs by design Haberman ... right handedness can be considered independent. Notes reflist DEFAULTSORT Iterative Proportional Fitting ... more details
The Iterative Template Library ITL is a generic component library that provides iterative methods for solving linear systems. ITL also provides numerous preconditioners which is for Matrix Template Library MTL . The ITL was written at the Open Systems Lab of Indiana University by Andrew Lumsdaine , Lie Quan Lee , Jeremy Seik , and others. ITL uses the abstract interface of matrix vector, vector vector, and vector scalar operations MTL is default to serve those operations. ITL is able to use other packages such as Blitz and Basic Linear Algebra Subprograms BLAS with the same abstract interface provided. Because generic programming encourages simplifying interfaces to only what is required by the logic they support, the ITL algorithms resemble pseudocode, at least when compared with other implementations of the same algorithms. For example, ITL s conjugate gradient follows source lang cpp required operations mult,copy,dot conj,add,scaled template class Matrix, class VectorX, class VectorB, class Preconditioner, class Iteration int cg const Matrix& A, VectorX& x, const VectorB& b, const Preconditioner& M, Iteration& iter typedef VectorX TmpVec typename itl traits VectorX value type rho 0 , rho 1 0 , alpha 0 , beta 0 TmpVec p size x , q size x , r size x , z size x itl mult A, itl scaled x, 1.0 , b, r while iter.finished r itl solve M, r, z rho itl dot conj r, z if iter.first itl copy z, p else beta rho rho 1 itl add z, itl scaled p, beta , p itl mult A, p, q alpha rho itl dot conj p, q itl add x, itl scaled p, alpha , x itl add r, itl scaled q, alpha , r rho 1 rho iter return iter.error code source See also Template Numerical Toolkit External links http www.osl.iu.edu research itl ITL Home Page Category Numerical software Category C libraries compu library stub ... more details
Iterative Viterbi decoding is an algorithm that spots the subsequence S of an observation O o sub 1 sub , ..., o sub n sub having the highest average probability i.e., probability scaled by the length of S of being generated by a given hidden Markov model M with m states. The algorithm uses a modified Viterbi algorithm as an internal step. The scaled probability measure was first proposed by John S. Bridle . An early algorithm to solve this problem, sliding window , was proposed by Jay G. Wilpon et al., 1989, with constant cost T mn sup 2 sup 2. A faster algorithm consists of an iteration of calls to the Viterbi algorithm , reestimating a filler score until convergence. The algorithm A basic non optimized version, finding the sequence s with the smallest normalized distance from some subsequence of t is pre input is placed in observation s 1..n , template t 1..m , and distance matrix d 1..n,1..m remaining elements in matrices are solely for internal computations int, int, int AverageSubmatchDistance char s 0.. n 1 , char t 0.. m 1 , int d 1..n,0.. m 1 score, subsequence start, subsequence end declare int e, B, E t 0 t m 1 s 0 s n 1 e e random do e e for i 1 to n do d i,0 d i,m 1 e e, B, E ViterbiDistance s , t , d e e E B 1 until e e return e, B, E pre The ViterbiDistance procedure returns the tuple e , B , E , i.e., the Viterbi score e for the match of t and the selected entry B and exit E points from it. B and E have to be recorded using a simple modification to Viterbi. A modification that can be applied to CYK tables, proposed by Antoine Rozenknop, consists in subtracting e from all elements of the initial matrix d . References Silaghi, M., Spotting Subsequences matching a HMM using the Average Observation Probability Criteria with application to Keyword Spotting , AAAI, 2005. Rozenknop, Antoine, and Silaghi, Marius Algorithme de d codage de treillis selon le crit re de co t moyen pour la reconnaissance de la parole , TALN 2001. Category Error detection and correction ... more details
For the 1970s music group Design UK band Refimprove date July 2008 File All Saints Chapel L.C. Tiffany.JPG ... . The building structure and decorations are both examples of design. File PH Lampan 1.jpg thumb 250px right Poul Henningsen s PH5 lamp, designed in 1958. File PL IIIcut.gif thumb 150px right Design .... Design as a noun informally refers to a plan drawing plan or convention for the construction of an object ... , circuit diagram s and Pattern sewing sewing patterns while to design verb refers to making this plan ... 64&y 13& Cambridge Dictionary of American English , at http dictionary.reference.com browse design Dictionary.com esp. meanings 1 5 and 7 8 and at http www.askoxford.com concise oed design?view uk AskOxford esp. verbs . ref No generally accepted definition of design exists, ref Ralph, P. and Wand, Y. 2009 . A proposal for a formal definition of the design concept. In Lyytinen, K., Loucopoulos, P., Mylopoulos, J., and Robinson, W., editors, Design Requirements Workshop LNBIP 14 , pp. 103 136. Springer Verlag. ref and the term has different connotations in different fields see Design Disciplines design disciplines below . However, one can also design by directly constructing an object as in pottery , engineering , management , cowboy coding and graphic design . More formally design has been ..., transitive to create a design, in an Environment systems environment where the designer operates ref Ralph, P. and Wand, Y. 2009 . A proposal for a formal definition of the design concept. In Lyytinen, K., Loucopoulos, P., Mylopoulos, J., and Robinson, W., editors, Design Requirements Workshop LNBIP 14 , pp. 103 136. Springer Verlag, p. 109. ref Another definition for design is a roadmap or a strategic ... . Design Manual Vol 1 ref Here, a specification can be manifested as either a plan or a finished product and primitives are the elements from which the design object is composed. With such a broad ... toward the subject see Philosophies and studies of design Philosophies and studies of design ... more details
Infobox Album See Wikipedia WikiProject Albums Name The Design Type Studio Artist Into the Moat Cover Designcover.jpg Released March 8, 2005 Recorded October 2004 Genre Mathcore br Metalcore br Deathcore Length Label Metal Blade Records Producer Reviews Allmusic Rating 3 5 Allmusic class album id r730514 pure url yes link Last album Means By Which The End Is Justified EP Means By Which The End Is Justified br 2003 This album The Design br 2005 Next album The Campaign album The Campaign br March 19, 2009 The Design is the first full length album by mathcore metalcore band Into the Moat . It was released in 2005 on Metal Blade Records . Track listing Century II 1 54 Empty Shell 3 40 Dead Before I Stray 2 41 Guardian 3 01 The Inexorable 3 12 Fortitudine 2 49 Beyond Treachery 5 04 None Shall Pass 3 09 Prologue... 7 24 DEFAULTSORT Design, The Category 2005 albums 2000s metalcore album stub ... more details
Infobox Film name By Design director Claude Jutra writer Claude Jutra br Joe Wiesenfeld br David Eames starring Sara Botsford br Patty Duke Astin br Clare Coulter br Saul Rubinek released flagicon Canada 1982 By Design is a Canadian film directed by Claude Jutra and was released in 1982. It stars Sara Botsford and Patty Duke Astin . Synopsis Angie Sara Botsford , and Helen Patty Duke Astin , are in love and they live and work together they design women s clothes and run their own fashion business in Vancouver . Helen wants to be a mother. Angie loves Helen and if Helen can t feel fulfilled without a child she is willing for them to become parents. Criticism The film was favourably reviewed by the critic Pauline Kael in The New Yorker a buoyant, quirky sex comedy..the director takes a look around the whole modern supermarket of sex. By Design takes in the bars and beach houses, fast food restaurants and discos, and the sexual patterns of those who inhabit them..Jutra has a light understated approach to farce. His sensibility suggests a mingling of Jacques Tati Tati and Fran ois Truffaut Truffaut ..The scenes are quick and they re dippy, but with a pensive, melancholy underlay. ref Pauline Kael reprinted in Taking It All In p.421 424 ref Patty Duke Astin received a Genie Award nomination for best foreign actress. References reflist Category Canadian films Category 1982 films Category Canadian drama films Category Films set in British Columbia Category Films directed by Claude Jutra ... more details
Tree search algorithm Iterative deepening depth first search IDDFS is a state space search strategy in which a depth limited search is run repeatedly, increasing the depth limit with each iteration until it reaches math d math , the depth of the shallowest goal state. On each iteration, IDDFS visits the node computer science node s in the search tree in the same order as depth first search , but the cumulative order in which nodes are first visited, assuming no pruning algorithm pruning , is effectively ... goal. Since iterative deepening visits states multiple times, it may seem wasteful, but it turns ... math O b d math . In an iterative deepening search, the nodes on the bottom level are expanded once ..., which is expanded math d 1 math times. ref name rn3 So the total number of expansions in an iterative ... together, an iterative deepening search from depth 1 to depth math d math expands only about 11 more ... when the branching factor is 2, iterative deepening search only takes about twice as long as a complete breadth first search. This means that the time complexity of iterative deepening is still math O b d math , and the space complexity is math O bd math . In general, iterative deepening is the preferred ... C or G. Iterative deepening prevents this loop and will reach the following nodes on the following depths, assuming it proceeds left to right as above 0 A 1 A repeated , B, C, E Note that iterative ... node DLS child, goal, depth 1 Related algorithms Similar to iterative deepening is a search strategy called iterative lengthening search that works with increasing path cost limits instead of depth limits ... is the one with the cheapest path cost. But iterative lengthening incurs substantial overhead that make it less useful than iterative deepening. Notes reflist DEFAULTSORT Iterative Deepening Depth First Search Category Graph algorithms Category Search algorithms de Iterative Tiefensuche fa it Iterative deepening nl Iteratief diepte eerst zoeken ja th ... more details
In statistics , non linear iterative partial least squares NIPALS is an algorithm for computing the first few components in a principal component analysis principal component or partial least squares analysis. For very high dimensional dataset s, such as those generated in the omics sciences e.g., genomics , metabolomics it is usually only necessary to computation compute the first few principal component s. The nonlinear iterative partial least squares NIPALS algorithm calculates t sub 1 sub and p sub 1 sub from X . The outer product , t sub 1 sub p sub 1 sub can then be subtracted from X leaving the Errors and residuals in statistics residual Matrix mathematics matrix E sub 1 sub . This can be then used to calculate subsequent PCs. ref Citation last Geladi first Paul author link last2 Kowalski first2 Bruce author2 link title Partial Least Squares Regression A Tutorial journal Analytica Chimica Acta volume 185 issue pages 1&ndash 17 date year 1986 url doi id ref This results in a dramatic reduction in computational time since calculation of the covariance matrix is avoided. References references External links http www.vias.org tmdatanaleng dd nipals algo.html Teach Me Data Analysis The NIPALS Algorithm http www.predict.ws H principle SvanteHarald.htm NIPALS algorithm for PLS regression http folk.uio.no henninri pca module pca nipals.pdf Principal Component Analysis PCA and NIPALS algorithm http www3.interscience.wiley.com journal 110435218 abstract?CRETRY 1&SRETRY 0 Comments on the NIPALS algorithm requires subscription Category Multivariate statistics Category Singular value decomposition Category Least squares statistics stub ... more details
Unreferenced stub auto yes date December 2009 Continuous design is a software development practice of creating and modifying the design of a system as it is developed, rather than specifying the system completely before development starts, as in the waterfall model or in bursts at the beginning of each iteration as in the iterative and incremental development iterative model . Also called evolutionary design or incremental design , continuous design was popularized by extreme programming . Continuous design also uses test driven development and refactoring . Martin Fowler wrote a popular book called Refactoring , as well as a popular article entitled Is Design Dead? , that talked about continuous evolutionary design. James Shore wrote an article IEEE titled Continuous Design . See also Rapid application development External links http martinfowler.com articles designDead.html Is Design Dead? DEFAULTSORT Continuous Design Category Software design Soft eng stub de Evolution res Design ... more details
cleanup date January 2011 Merge from Design for manufacturability IC Design for manufacturability PCB Design for manufacturability for CNC machining date May 2010 Design for manufacturability also sometimes known as design for manufacturing DFM is the general engineering art of designing products in such a way ..., but of course the details differ widely depending on the manufacturing technology. This design practice not only focuses on the design aspect of a part but also on the producibility. In simple language it means relative ease to manufacture a product, part or assembly. The design stage is very important in product design. Most of the product lifecycle costs are committed at design stage. The product design is not just based on good design but it should be possible to produce by manufacturing as well. Often an otherwise good design is difficult or impossible to produce. Typically a design engineer will create a model or design and send it to manufacturing for review and invite feedback. This process is called as design review. If this process is not followed diligently, the product may fail at manufacturing stage. If these DFM guidelines are not followed, it will result in iterativedesign, loss of manufacturing time and overall resulting in longer time to market. Hence many organizations have adopted concept of Design for Manufacturing. Depending on various types of manufacturing ... to day to day design process, a similar concept called DFSS Design for Six Sigma is also practiced in many organizations. Here are examples Design for manufacturability IC Design for manufacturability for integrated circuits . Design for manufacturability PCB Design for manufacturability for printed circuit board s . Design for manufacturability for CNC machining Design for manufacturability for CNC machined parts. See also Design for X DEFAULTSORT Design For Manufacturability Category Industrial design Category Design for X design stub engineering stub da Design for manufacture fr Design for Manufacturing ... more details
Unreferenced date January 2007 Design predicates are a method invented by Thomas McCabe, to quantify the complexity of the integration of two units of software. Each of the four types of design predicates have an associated integration complexity rating. For pieces of code that apply more than one design predicate, integration complexity ratings can be combined. The sum of the integration complexity for a unit of code, plus one, is the maximum number of test cases necessary to exercise the integration fully. Though a test engineer can typically reduce this by covering as many previously uncovered design predicates as possible with each new test. Also, some combinations of design predicates might be logically impossible. Types of Calls Unconditional Call Unit A always calls unit B. This has an integration complexity of 0. For example unitA functionA unitB functionB Conditional Call Unit A may or may not call unit B. This integration has a complexity of 1, and needs two tests one that calls B, and one that doesn t. unitA functionA if condition unitB functionB Mutually Exclusive Conditional Call This is like a programming language s switch statement. Unit A calls exactly one of several possible units. Integration complexity is n 1, where n is the number of possible units to call. unitA functionA switch condition case 1 unitB functionB break case 2 unitC functionC break ... default unitN functionN break Iterative Call In an iterative call, unit A calls unit B at least once, but maybe more. This integration has a complexity of 1. It also requires two tests one that calls unit B once, and one test that calls it more than once. unitA functionA do unitB functionB while condition Combining Calls Any particular integration can combine several types of calls. For example, unit A may ... a conditional call, with its integration complexity of 1, and an iterative call, with its integration ... complexity Integration testing White box testing DEFAULTSORT Design Predicates Category Software ... more details
In broad terms, transformation design is a human centered, interdisciplinary process that seeks to create ... often for socially progressive ends. It is a multi stage, iterative process applied to big, complex ... are then scaled. Because transformation design is about applying design skills in non traditional territories, it often results in non traditional design outputs. sup 3 sup Projects have resulted in the creation ... from a variety of design disciplines service design , user centered design , participatory design , concept design , information design , industrial design , graphic design , systems design , interactive design , experience design as well as non design disciplines including cognitive psychology and perceptual ... ,8 sup , its practice first emerged in 2004 when http www.designcouncil.org.uk The Design Council , the UK s national strategic body for design, formed http www.designcouncil.info RED RED a self proclaimed do tank challenged to bring design thinking to the transformation of public services. sup 1 sup ..., led by Hilary Cottam, studied these big, complex problems to determine how design thinking and design ... Transformation design, like user centered design, starts from the perspective of the end user ... transformation design tackles complex issues involving many stakeholders and components, more expertise ... and agencies, front line workers and academics are invited to participate in the entire design process ... create hands on, collaborative workshops a.k.a. charrette that make the design process accessible to the non ... back into the workshops and development of the next prototype. See also Portal Design formatting ... RED RED s homepage br 2. http www.designcouncil.org.uk Design Council s homepage ... Paper published by RED which discusses transformation design br 4. http www.designcouncil.info mt RED transformationdesign RED s website page which talks about transformation design br 5. http www.torinoworlddesigncapital.it ... Design Capital br 6. http www.hilarycottam.com html RED Paper 2001 20Health Co creating services.pdf ... more details
Design closure is the process by which a integrated circuit VLSI design is modified from its initial description to meet a growing list of design constraints and objectives. Every step in the IC design ... complex and often forms its own field of study. This article, however, looks at the overall design closure process, which takes a chip from its initial design state to the final form in which all of its design constraints are met. Introduction Every chip starts off as someone s idea of a good thing ... a product that can be sold profitably. The management then forms a design team, which consists of chip ... between constraints and objectives is straightforward a constraint is a design target that must be met for the design to be successful. For example, a chip may be required to run at a specific frequency so it can interface with other components in a system. In contrast, an objective is a design ... to lower manufacturing cost. For the purposes of design closure, the distinction between constraints and objectives is not important this article uses the words interchangeably. Evolution of the Design .... Design closure was simple if all of the necessary circuits and wires fit , the chip would perform the desired function. Modern design closure has grown orders of magnitude more complex. Modern logic ... design considerations. As a result, a modern VLSI designer must consider the performance of a chip against a list of dozens of design constraints and objectives including performance, power, signal integrity , reliability, and yield. In response to this growing list of constraints, the design closure flow has evolved from a simple linear list of tasks to a very complex, highly iterative flow such as the following simplified ASIC design flow Reference ASIC Design Flow Concept phase Functional objectives and architecture of a chip are developed. Logic design Architecture is implemented in a register .... Design for Testability The test structures like scan chains are inserted. Placement EDA Placement The gates ... more details
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