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Examples
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  • Definition of iterative in the Online Dictionary. Meaning of iterative. Pronunciation of iterative. Translations of iterative. iterative synonyms, iterative antonyms. Information about iterative in the free online English dictionary and. — “iterative - definition of iterative by the Free Online”,
  • An Iterative (or non-recursive) query - where the complete answer MAY be returned or a referral provided to another DNS. 2.2.6.2 Iterative (non-recursive) Queries. A Iterative (or non-recursive) query is one where the DNS server may provide a partial. — “Chapter 2 The DNS Context”,
  • iterative (not comparable) Of a procedure that involves repetition of steps (iteration) to achieve the desired outcome; in computing this may involve a mechanism such as a loop. (grammar) Expressive of an action that is repeated with frequency. [edit] Synonyms. — “iterative - Wiktionary”,
  • Iterative definition, repeating; making repetition; repetitious. See more. — “Iterative | Define Iterative at ”,
  • Good software's a result of using agile, iterative methods to refine initial goals based on continuous feedback from involved Iterative Rose Solutions, LLC, is a resource to help you meet your project's development goals. We have skills in requirements definition, software development, and testing. — “Iterative Rose Solutions: Quality Software, Iteratively”,
  • iteration n. The act or an instance of iterating; repetition. Mathematics . A computational procedure in which a cycle of operations is repeated, Another use of iteration in mathematics is in iterative methods which are used to produce approximate numerical solutions to certain mathematical. — “iteration: Definition, Synonyms from ”,
  • Toby: Iterative Planning: A Survey. 3 / 21. Background on Automated Planning. Automated Planning. Given a formal specification of a Toby: Iterative Planning: A Survey. 4 / 21. Motivation for Iterative Planning. Planning tasks above are concerned with individual. — “Iterative Planning: A Survey”, cs.toronto.edu
  • The basic idea behind iterative approach is to develop a software system iteratively and iterative development process are to start with a simple implementation of a subset of the. — “ITERATIVE DEVELOPMENT STANDARDS”, bced.gov.bc.ca
  • Definition of word from the Merriam-Webster Online Dictionary with audio pronunciations, thesaurus, Word of the Day, and word games. Definition of ITERATIVE : involving repetition: as a : expressing repetition of a verbal action b : relating to or being iteration of an operation or procedure. — it·er·a. — “Iterative - Definition and More from the Free Merriam-Webster”, merriam-
  • Iterative deepening (ID) has been invented as the basic time management strategy in depth-first searches, but proved surprisingly It has been noticed, that even if one is about to search to a given depth, the iterative deepening is faster than searching for the given depth immediately. — “chessprogramming - Iterative Deepening”,
  • [Engineering Report] Matching musical instrument tones is a classic problem in computer music. Previous work has shown various noniterative methods to be successful. Iterative methods, where the basis spectra are found one by one over several. — “AES E-Library: Evaluation of Iterative Methods for Wavetable”,
  • Encyclopedia article about iterative. Information about iterative in the Columbia Encyclopedia, Computer Desktop Encyclopedia, computing dictionary. — “iterative definition of iterative in the Free Online Encyclopedia”, encyclopedia2
  • presents software and art projects by daniel fischer/turing and friends. The xinf project aims to provide a unified platform for cross-runtime GUI development. — “”
  • The purpose of this document is to determine some best practices for applying a comprehensive testing strategy to an iterative development project. The project blended approaches of two leading, open methodologies, the Rational Unified Process (RUP) and eXtreme Programming (XP). — “Iterative Development Testing”,
  • The iterative lifecycle has the benefit of application of lessons learned in the waterfall model. If fact, according to Kruchten "iterative development actually involves much more. — “Iterative Testing”, snyders.us
  • Iterative and Incremental development is at the heart of a cyclic software development process developed in response to the weaknesses of the waterfall model. It starts with an initial planning and ends with deployment with the cyclic interactions in between. An iterative development model. — “Iterative and incremental development - Wikipedia, the free”,
  • from The Rational Edge: Iterative and incremental development requires project managers to consider each iteration as a separate project, to be managed in the context of the final deliverable. This final installment in a three-part series. — “What is iterative development?”,
  • Find dictionary definitions, audio pronunciations, and spellings for iterative in the free online American Heritage Dictionary on Yahoo! Education. — “iterative - Dictionary definition and pronunciation - Yahoo!”,
  • Definition of iterative from Webster's New World College Dictionary. Meaning of iterative. Pronunciation of iterative. Definition of the word iterative. Origin of the word iterative. — “iterative - Definition of iterative at ”,
  • Iterative processing is an important technique with applications in many fields, including systematically developing iterative algorithms for digital receivers, and highlights. — “Iterative Receiver Design”,
  • technique called iterative broadening leads to orders of magnitude savings in the time needed technique as iterative broadening borrowing terminology from Korf s notion of iterative. — “Iterative Broadening”, reference.kfupm.edu.sa

Videos
related videos for iterative

  • Iterative Self reflection An camera ride in a complex Hypernurb (that means subdivided) polygon object in an virtual 3d space. Effected, just with light and reflections! Reflection deep 4 Beam deep 4 Shadow deep 4 Rendered and created with C4d for visual and Audacity for the sound! Rendering time all together over 120 hours! udozak.toolbar.fm
  • Sparse Linear Algebra - Iterative Solvers and Preconditioners on GPUs (1 of 2) Presentation from this years NVIDIA GPU Tech 2009: Michal Okoniewski is talking about Sparse Linear Algebra - Iterative Solvers and Preconditioners on GPUs. Part 1 of 2
  • Lecture-3: REINFORCEMENT LEARNING: Iterative Algorithms: Part-3.mp4 REINFORCEMENT LEARNING: Lecture - 3: ITERATIVE ALGORITHMS & SINGLE AGENT PATH PLANNING IN FOMDPs. (Fully observable MDPs). Sanjeev Sharma - Founder & Co-Owner - searching- , Undergraduate Indian Institute of Technology Roorkee. CONTENTS: Optimal Value Functions, Bellman Optimality Equation, Relation b/w Optimal Action value function and Optimal State-Value Function, Policy Evaluation, Policy Iteration, Value Iteration, Policy Improvement, Agent Path Planning in Static Environment in FOMDPs. DESCRIPTION: In this lecture first of all I mentioned few things from the previous lecture. Then I provided an introduction to optimal policies, details about the relationship b/w the Optimal State Value Function and OPtimal Action Value Function. Then I mentioned the Bellman Optimality Equation for both the State-Value function and Action-Value Function. Then I provided a brief overview of my Example in Agent\'s Path Planning in Static Environment in Fully Observable MDPs. Then I provided the details of 4 most important algorithms ie Policy Evaluation, Policy Improvement, Policy Iteration and Value Iteration. AGENT PATH PLANNING: For Path Planning of agent, in this lecture I used the Policy Evaluation Algorithm for FOMDPs. See the path planning channel
  • Iterative Development Mark Stringer talks at an Agile Lab course given in Plymouth in January 2009 about an iterative approach to software development and how it differs from a waterfall approach to software development.
  • Recursive iterative template tracker This tracker is part of my diploma project. It's created in C++ using OpenCV library. Video source is Axis 2100 IP camera.
  • Iterative function spaces An exploration of iterative function systems in 3D. A set of 216 points are iterated per frame according to the nonlinear system: x1 = (1 + abs( a*y + z - c )) % d y1 = (1 + abs( b*x - y - c )) % d z1 = (1 + abs( -x - c )) % d To break the chaotic symmetry, coefficients are varied smoothly over time, and per point. The result is a gradual emergence and decoherence of complex spatial structures.
  • Lecture - 22 Image Impedance, Iterative Impedance Lecture series on Networks,Signals and Systems by Prof. TKBasu, Dept.of Electrical Engineering, IIT,Kharagpur. For more details on NPTEL visit nptel.iitm.ac.in
  • Lecture - 23 Image Impedance, Iterative Impedance Lecture series on Networks,Signals and Systems by Prof. TKBasu, Dept.of Electrical Engineering, IIT,Kharagpur. For more details on NPTEL visit nptel.iitm.ac.in
  • Iteration Many equations cannot be solved using conventional methods, for example 2 = x³. In such cases we need to use numerical methods to find solutions.
  • 3. Iterative deletion and the median-voter theorem Game Theory (ECON 159) We apply the main idea from last time, iterative deletion of dominated strategies, to ***yze an election where candidates can choose their policy positions. We then consider how good is this classic model as a description of the real political process, and how we might build on it to improve it. Toward the end of the class, we introduce a new idea to get us beyond iterative deletion. We think about our beliefs about what the other player is going to do, and then ask what is the best strategy for us to choose given those beliefs? 00:00 - Chapter 1. Iterative Deletion of Dominated Strategies: The Median Voter Theorem 27:25 - Chapter 2. Iterative Deletion of Dominated Strategies: Problems with The Median Voter Theorem 35:07 - Chapter 3. Iterative Deletion of Dominated Strategies: Robustness of The Median Voter Theorem 39:11 - Chapter 4. Best Response Complete course materials are available at the Open Yale Courses website: open.yale.edu This course was recorded in Fall 2007.
  • Direct vs iterative solver for an elastic steel beam This shows how a high precision solver enables modeling of elasticity of a steel beam, with material parameters ranging from elastic to perfectly stiff. For this model, an iterative solver of the type typically used in game physics engines (Gauss-Seidel/SOR), does not give precision anywhere close what is required to do realistic material modeling. Thanks to the sparsity of the system, the direct solver used here is also much faster than an iterative solver, even for a very small number of iterations.
  • Binary search (iterative version) Pseudocode and running time ***ysis of binary search (iterative version).
  • Comparing Iterative and Recursive Factorial Functions Comparing iterative and recursive factorial functions
  • An iterative method to find Square Roots - part 2/2 In part 1 the mechanics of an iterative method was presented. In this video we see what makes it work. And what happens to this method when we try to find the square root of a negative number.
  • TK Solver - Iterative Solutions 1 This series covers the built-in Iterative Solver, Optimizer, and Root-Finders from the TK Solver Library. Contact us for a free demonstration!
  • Lecture-3: REINFORCEMENT LEARNING: Iterative Algorithms: Part-1.mp4 REINFORCEMENT LEARNING: Lecture - 3: ITERATIVE ALGORITHMS & SINGLE AGENT PATH PLANNING IN FOMDPs. (Fully observable MDPs). Sanjeev Sharma - Founder & Co-Owner - searching- , Undergraduate Indian Institute of Technology Roorkee. CONTENTS: Optimal Value Functions, Bellman Optimality Equation, Relation b/w Optimal Action value function and Optimal State-Value Function, Policy Evaluation, Policy Iteration, Value Iteration, Policy Improvement, Agent Path Planning in Static Environment in FOMDPs. DESCRIPTION: In this lecture first of all I mentioned few things from the previous lecture. Then I provided an introduction to optimal policies, details about the relationship b/w the Optimal State Value Function and OPtimal Action Value Function. Then I mentioned the Bellman Optimality Equation for both the State-Value function and Action-Value Function. Then I provided a brief overview of my Example in Agent\'s Path Planning in Static Environment in Fully Observable MDPs. Then I provided the details of 4 most important algorithms ie Policy Evaluation, Policy Improvement, Policy Iteration and Value Iteration. AGENT PATH PLANNING: For Path Planning of agent, in this lecture I used the Policy Evaluation Algorithm for FOMDPs. See the path planning channel
  • An iterative method to find Square Roots - part 1/2 This Video explains an iterative method of finding square root of a number. If N is the number for which you are interested to find square root. We start with initial guess 'a' then find 'N/a'. we then compare a and N/a if they are equal then we have our square root. Other wise we take averare of a and N/a and obtain a new guess for the next iteration. This is repeated until we get very very small difference.
  • Iterative methods for sparse linear systems on GPU (3) Lecture 3 by Dr Nathan Bell, at the Pan-American Advanced Studies Institute (PASI)—"Scientific Computing in the Americas: the challenge of massive parallelism." Organized and led by BU Prof. Lorena A Barba (MechEng), with NSF & DOE funding. See: www.bu.edu
  • Iterative Lifecycle Model and Ecosystem for Digital Preservation in India by Dr. Dinesh Katre The key point of the presentation is that short term plans and commitments won't be helpful in long term digital preservation. It highlights that a proper ecosystem needs to be created with minimum investment and scalable infrastructure (birth), continuously evolving best practices, training for archivists and curators (parenting), periodic auditing, upgradation of infrastructure and knowledge (nurturing) and wealth creation by offering value added services and access to information rich archives (sustenance). This paper was presented during the Indo-US Workshop on International Trends in Digital Preservation, March 24-25, 2009, Pune, India.
  • Convergence of an iterative solver Solver convergence during the calculation of induced currents in the brain. Visit for more information
  • Iterative Closest Point (ICP) for 2D curves with OpenCV ICP - Iterative closest point, is a very trivial algorithm for matching object templates to noisy data. It's also super easy to program, so it's good material for a tutorial. The goal is to take a known set of points (usually defining a curve or object exterior) and register it, as good as possible, to a set of other points, usually a larger and noisy set in which we would like to find the object. See the article:
  • Translation by Iterative Collaboration between Monolingual U Google Tech Talk September 24, 2009 ABSTRACT Translation by Iterative Collaboration between Monolingual Users. Presented by Benjamin Bederson. Human translation is expensive and slow, and often unavailable between uncommon language pairs. Machine translation is inexpensive and fast, but quality remains unreliable. In an effort to find a balance between speed and quality, we describe a new iterative translation process designed to leverage the massive number of online users who have limited or no bilingual skill. The iterative process is supported by combining existing machine translation methods with monolingual human speakers. We are building a publicly available prototype on the Web that is capable of yielding high quality translations at drastically reduced expense. In this talk, I will describe our translation model, and show our early prototype. This work is being done in collaboration with Philip Resnik at UMD. Benjamin B. Bederson is an Associate Professor of Computer Science and the previous director of the Human-Computer Interaction Lab at the Institute for Advanced Computer Studies and iSchool at the University of Maryland. His research is on mobile device interfaces, information visualization, interaction strategies, digital libraries, and accessibility issues such as voting system usability. He is also cofounder and Chief Scientist of Zumobi, a mobile media company.
  • Iterative methods for sparse linear systems on GPU (1) Lecture 1 by Dr Nathan Bell, at the Pan-American Advanced Studies Institute (PASI)—"Scientific Computing in the Americas: the challenge of massive parallelism." Organized and led by BU Prof. Lorena A Barba (MechEng), with NSF & DOE funding. See: www.bu.edu
  • Stepping Through Iterative Fibonacci Function Understanding how the iterative fibonacci function works for a particular example
  • Iterative Fibonacci Function Example One way to write a Fibonacci function iteratively
  • Iterative Model Sheet Iterative Drawing as applied to a character rotation.
  • Iterative methods Jacobi and Gauss-Seidel Hope it makes sense.
  • Iterative Reverb Let's begin with noise. And add reverb. And add reverb. And add reverb... little-
  • Collis and Cyan Ta'eed Interview, co-founders of Envato (15/15) Interview with Collis & Cyan Ta'eed, co-founders of Envato, who are known for their string of successful sites like FlashDen, Psdtuts+, and the list goes on. This interview marks Envato's 3 year birthday, and is based on questions provided by interviewer Emil, and the Psdtuts+ readers. Collis and Cyan answer questions like how they started Envato, how the company has grown, and other interesting topics.
  • Ginnungagap iterative animation with soundtrack Nigel Pennick May 2010 Nigel Campbell Pennick's iterative animation #2 "Ginnungagap" with soundtrack, May 2010. Signifying the coming-into-being of the Cosmos from the fomless void; its iterative increase in complexity, combination and recombination, the emergence of crystalline, then organic, forms, and its the subsequent dissolution and disintegration, reurning to the formless void that was before the beginning.
  • Daniel Burka - Iterative Design Strategies - Webstock, Wellington New Zealand - Feb 19th 2010 Daniel is currently the Director of Design at the early-stage startup Tiny Speck in San Francisco. For the past four years he was the creative director at the social news website Digg where he helped the site grow from a niche technology news site into one of the leading media services on the web with a massive and passionate community. Working with Digg founder Kevin Rose, Daniel and his design team shaped the user experience and product direction of Digg. Daniel is also a semi-active partner at the Canadian design firm silverorange. While working at silverorange, Daniel designed the website and contributed to the development of the Firefox and Thunderbird brands. In 2007, along with Leah Culver and Kevin, Daniel helped found Pownce — a social network that let you share files, events, messages, and links with your friends. Pownce was sold to blogging company SixApart in late 2008. Daniel is a speaker at Webstock in Wellington - .nz Daniel Burka - Iterative Design Strategies - Webstock, Wellington New Zealand - Feb 19th 2010 Find more videos from the event at workit.co.nz
  • [email protected] Screensaver | D-Wave's Iterative QUANtum Algorithms 1.14 [email protected] D-Wave's AQUA (Adiabatic QUantum Algorithms) is a research project whose goal is to predict the performance of superconducting adiabatic quantum computers on a variety of hard problems arising in fields ranging from materials science to machine learning. [email protected] uses Internet-connected computers to help design and ***yze quantum computing algorithms, using Quantum Monte Carlo techniques. You can participate by running a free program on your computer. [email protected] is based at D-Wave Systems Inc., Burnaby, British Columbia, Canada.
  • Comparing Iterative Root-Finding Methods The Wolfram Demonstrations Project contains thousands of free interactive visualizations, with new entries added daily. This Demonstration compares the effectiveness of a new iterative method of finding roots of nonlinear equations due to R. Oftadeh, M. Nikkhah-Bahrami, and A. Najafi and the classical Newton-Raphson method (implemented in Mathematica's FindRo... Contributed by: Andrzej Kozlowski
  • SAFIRE* helps to lower dose - Iterative Reconstruction goes Mainstream Iterative Reconstruction (IR) offers massive dose reduction. Here's why it's important and how it works.
  • Iterative Drawing A wildly exciting and amazing and cancer-killing approach to drawing.
  • Tom Wujec on Iterative Learning Excerpts from Tom Wujec's TED talk of February 2010. To view the entire talk go to:
  • Lecture-3: REINFORCEMENT LEARNING: Iterative Algorithms: Part-4.mp4 REINFORCEMENT LEARNING: Lecture - 3: ITERATIVE ALGORITHMS & SINGLE AGENT PATH PLANNING IN FOMDPs. (Fully observable MDPs). Sanjeev Sharma - Founder & Co-Owner - searching- , Undergraduate Indian Institute of Technology Roorkee. CONTENTS: Optimal Value Functions, Bellman Optimality Equation, Relation b/w Optimal Action value function and Optimal State-Value Function, Policy Evaluation, Policy Iteration, Value Iteration, Policy Improvement, Agent Path Planning in Static Environment in FOMDPs. DESCRIPTION: In this lecture first of all I mentioned few things from the previous lecture. Then I provided an introduction to optimal policies, details about the relationship b/w the Optimal State Value Function and OPtimal Action Value Function. Then I mentioned the Bellman Optimality Equation for both the State-Value function and Action-Value Function. Then I provided a brief overview of my Example in Agent\'s Path Planning in Static Environment in Fully Observable MDPs. Then I provided the details of 4 most important algorithms ie Policy Evaluation, Policy Improvement, Policy Iteration and Value Iteration. AGENT PATH PLANNING: For Path Planning of agent, in this lecture I used the Policy Evaluation Algorithm for FOMDPs. See the path planning channel
  • Iterative methods for sparse linear systems on GPU (2) Lecture 2 by Dr Nathan Bell, at the Pan-American Advanced Studies Institute (PASI)—"Scientific Computing in the Americas: the challenge of massive parallelism." Organized and led by BU Prof. Lorena A Barba (MechEng), with NSF & DOE funding. See: www.bu.edu
  • Iterative Alignment in PC DMIS Watch how to use the Iterative Alignment feature using PC DMIS on your coordinate measuring machine.
  • PolyDepth: Real-time Penetration Depth Computation using Iterative Contact-Space Projection We present a real-time algorithm that finds the penetration depth (PD) between general polygonal models based on iterative and local optimization techniques. Given an in-collision configuration of an object in configuration space, we find an initial collision-free configuration.We project this configuration on to a local contact space using a variant of continuous collision detection algorithm and construct a linear convex cone around the projected configuration.We then formulate a new projection of the in-collision configuration on to the convex cone as a linear complementarity problem (LCP), which we solve using a type of Gauss-Seidel iterative algorithm. We repeat this procedure until a locally optimal PD is obtained. Our algorithm can process complicated models consisting of tens of thousands triangles at interactive rates. For more detail, visit graphics.ewha.ac.kr
  • Iterative Design & Prototyping An illustration of iterative design and prototyping featuring the "boomerang" plane.
  • Kurt Bittner - Why Iterative Development Kurt Bittner talks about the value and reasons behind moving to an iterative development plan. Please visit our blog for more information:

Blogs & Forum
blogs and forums about iterative

  • “I've had a surprisingly difficult time conveying my own definition of "Iterative Development" in the past, so I thought I'd take a stab at Iterative development means building a process that works, then making it work better, then making it work”
    — Lombardi Blog | Process People " Blog Archive " Iterative,

  • “What we found ourselves suggesting was an Iterative Blog, one that would be designed and laid out to provide: Did we create new and less foreign avenues for participation (eg lower the bar for a non-blog / non-wiki culture?”
    Iterative Blogging: BlogDoc 1.0 (Unbound Spiral),

  • “VisualCron - advanced task scheduler and automation tool for Windows solving " Iterative Job. Forum Jump. You cannot post new topics in this forum. You cannot reply to topics in this forum. You cannot delete your posts in this forum. You cannot edit your posts in this forum. You”
    Iterative Job - General problem solving - VisualCron,

  • “Forum Postings's tag archives. SEO: HOw Much To Charge For Forum Signatures? Posted by I charge for forum postings that include a website URL in signature?”
    Iterative Media -,

  • “Blog. Iterative Design. Iterative Design. February 15 2007. Posted by. Jon Even with these drawbacks iterative design has proven to improve your site and some would argue it a necessary concept in design”
    Iterative Design | Outsight Interactive,

  • “Nick Diamond's blog. 3587 reads. An Iterative Approach to Data Migration. Data Migration is the process of moving required (and most often very large) volumes of data from existing systems to new systems. I found that such projects can benefit from the use of a tailored development process”
    — An Iterative approach to Data Migration | Platinum Solutions Blog,

  • “This is the sixth post in a series of blog posts discussing Lean Architecture principles. Each post discusses one principle. Applying these principles results in an architecture (process) that is better connected to the business, better able to”
    — Lean Architecture Principle #6: Iterative Architecture,

  • “Webtrends blog: The fresh source for digital marketing research, ideas, opinions from the smartest minds in digital. If you've been reading the Webtrends blog for a while, you've no doubt seen many references to "Iterative Marketing"”
    — Official Webtrends Company Blog – The Ishtar Problem,

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