Relevant bibliographies by topics / Model builder

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Model builder'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Model builder"

1

ASHFORD, R. W., and R. C. DANIEL. "LP-MODEL:XPRESS-LP's Model Builder." IMA Journal of Management Mathematics 1, no. 3 (1986): 163–76. http://dx.doi.org/10.1093/imaman/1.3.163.

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Kohn, M. C., M. L. Hines, J. M. Kootsey, and M. D. Feezor. "A block organized model builder." Mathematical and Computer Modelling 19, no. 6-8 (March 1994): 75–97. http://dx.doi.org/10.1016/0895-7177(94)90190-2.

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Tamási, Bálint, and Torsten Hothorn. "tramME: Mixed-Effects Transformation Models Using Template Model Builder." R Journal 13, no. 2 (2021): 306. http://dx.doi.org/10.32614/rj-2021-075.

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Yan, Wang, and Liu Ying. "NSPK Protocol Security Model Checking System Builder." International Journal of Security and Its Applications 9, no. 7 (July 31, 2015): 307–16. http://dx.doi.org/10.14257/ijsia.2015.9.7.28.

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Vass, M., N. Allen, C. A. Shaffer, N. Ramakrishnan, L. T. Watson, and J. J. Tyson. "The JigCell Model Builder and Run Manager." Bioinformatics 20, no. 18 (July 23, 2004): 3680–81. http://dx.doi.org/10.1093/bioinformatics/bth422.

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Kum, Dong-Hyuk, Jae-Wan Choi, Ik-Jae Kim, Dong-Soo Kong, Ji-Chul Ryu, Hyun-Woo Kang, and Kyoung-Jae Lim. "Development of Automatic Extraction Model of Soil Erosion Management Area using ArcGIS Model Builder." Journal of The Korean Society of Agricultural Engineers 53, no. 1 (January 31, 2011): 71–81. http://dx.doi.org/10.5389/ksae.2011.53.1.071.

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Pritikin, Joshua,N, and Karen,M Schmidt. "Model Builder for Item Factor Analysis with OpenMx." R Journal 8, no. 1 (2016): 182. http://dx.doi.org/10.32614/rj-2016-013.

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Palmisano, Alida, Stefan Hoops, Layne T. Watson, Thomas C. Jones Jr, John J. Tyson, and Clifford A. Shaffer. "Multistate Model Builder (MSMB): a flexible editor for compact biochemical models." BMC Systems Biology 8, no. 1 (2014): 42. http://dx.doi.org/10.1186/1752-0509-8-42.

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Charpentier, Patrick, and Andrés Véjar. "A Product Trajectory-Driven Model Builder for Manufacturing Systems." IFAC Proceedings Volumes 46, no. 7 (May 2013): 324–29. http://dx.doi.org/10.3182/20130522-3-br-4036.00032.

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Zhengyou Zhang and Olivier Faugeras. "A 3D World Model Builder with a Mobile Robot." International Journal of Robotics Research 11, no. 4 (August 1992): 269–85. http://dx.doi.org/10.1177/027836499201100401.

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Dissertations / Theses on the topic "Model builder"

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Lin, Chia-Yang. "Conceptual model builder." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2708.

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Whenever one designs a new database system, an Entity-Relationship Diagram (ER diagram) is always needed to present the structure of this database. Using the graphically well-arranged ER Diagram helps you to easily understand the entities, attributes, domains, primary keys, foreign keys, constraints, and relationships inside a database. This data-modeling tool is an ideal choice for companies and developers.
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Vijay, Sony. "The LibX LibApp Builder." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/24812.

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LibX is a browser extension that provides direct access to library resources. LibX enables users to add additional features to a webpage, such as placing a tutorial video on a digital library homepage. LibX achieves this ability of enhancing web pages through library applications, called LibApps. A LibApp examines a webpage, extracts and processes information of the page, and modifies the web content. It is possible to build an unlimited number of LibApps and enhance web pages in numerous ways. The developers of LibX team cannot build all possible LibApps by themselves. Hence, we decided to create an environment that allows users to create and share LibApps, thereby creating an eco-system of library applications. We developed the LibApp Builder, a cloud-based end-user programming tool that assists users in creating customized library applications with minimal effort. We designed an easy-to-understand meta-design language model with modularized, reusable components. The LibApp language model is designed to hide the complex programming details from the target audiences who are mostly non-technical users, primarily librarians. The LibApp Builder is a web-based editor that allows users to build and test LibApps in an executable environment. A built-in publishing mechanism allows users to group LibApps into packages and publish them in AtomPub format. Any user can directly reuse or adapt published components as required. Two error checking mechanisms have been built into the LibApp Builder viz., type checking and semantic checking to enhance user experience and reduce debugging effort. Additionally, the web interface displays help tooltips to guide users through the process of building a LibApp. We adhered to good software engineering practices such as the agile development model and the model-view-controller design paradigm. The LibApp Builder is built with the ZK AJAX framework and provides a rich interactive user interface. The LibApp Builder is integrated with an optimized full-text, fuzzy search engine and facilitates faceted search by exploiting the BaseX XML database system and XPath/XQuery processor. Users can locate and reuse existing language components through the search interface. To summarize, the LibApp Builder is a community platform for librarians to create, adapt and share LibApps.
Master of Science
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Harmain, H. M. "Building object-oriented conceptual models using natural language processing techniques." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312740.

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Roesch, Patric Karl. "The development of a model builder for a microcircuit substrate." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/26479.

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The Naval Postgraduate School is currently in possession of software designed to perform a thermal analysis of electronic components. This software package incorporates a model builder whose primary function is to generate a thermal model. In its present configuration, the model builder requires an inordinate amount of time for data input and model verification. This thesis describes the development of a model builder designed specifically to reduce the time required to model the substrate, epoxy, and carrier layers of a microcircuit assembly
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Glaser, Stephen J. "The development of a thermal analysis model builder for a printed circuit board." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28124.

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Kasal, Ondřej. "Zjednodušený model axiálně chlazeného oblouku." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218009.

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Using of computer technology brings advantages of quick and well-arrange data. Computer technology offers change of transferring information the same way as that often using. Capacity and execution of computer technology is depending on kind and size of elaborated information. It is necessary to use to computer technology in application working with big data range and in application which needs many steps to finish calculation it means when we are using iterative methods. It is computer technology which creates main part of simulation, computation and visualization methods which are using in technical application. Plasma is using in many way of industry from technical manufacturing of materials to application in power electronics. Attention is paid to plasma. To description to fourth state of substance and for description to processes in plasma are used mathematic and physic equations. To solve to equations is hard and we need many steps to cover it. It is necessary to use computer technology to work up different method performs to describe electric arc.
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Jiřík, Leoš. "Návrh trading strategie pro řízení volného finančního kapitálu firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224700.

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This thesis deals with the design of trading strategies suitable for trading the currency markets. Design is carried out by means of artificial intelligence, the proposed strategies are then optimized and evaluated using previously unknown data. The partial objective is to implant this process in an existing company with the aim to broaden its capital. The consequences arising from this trading approach to the development of the company’s capital are subsequently studied from several perspectives – a schedule is outlined for the introduction into the company that has been chosen earlier, then the expected costs and revenues are compared in the scope of medium-term and in the last part the above procedure is analyzed so its risks can be pointed out and therefore procedures for their restrictions can be proposed as well.
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Damsgaard, Falck Hanna, Johanna Ring, and Erik Svensson. "Creating Bushing Core Geometries." Thesis, Uppsala universitet, Institutionen för materialvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444328.

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Bushings are a necessary component of the transformers in the power grid. A bushing is used to control the electric field's strength and shape. It is also an insulator for high-voltage conductors. The bushing enables a conductor to be safely brought through a grounded barrier. In this report, several methods for creating a 2D axi-symmetrical bushing core geometry in COMSOL Multiphysics were developed. The geometry includes the conductor, hollow area inside the conductor, the RIP, the mold and aluminum foils. First, the base-geometry was constructed, which includes all geometry parts except the foils. Afterward, two different approaches were used to construct the foils. The first approach was to automatically build a requested number of foils. The second approach was to create the foils based on data from excel-sheets. The developed method should be able to create both full foils and partial foils. A total of four foil methods were developed. The first method used COMSOL's Model Builder to create a requested number of foils uniformly distributed within the base-geometry. The second method used COMSOL's Application Builder to create a requested number of foils based on mathematical expressions. The third method reads data from an excel sheet to create the foils in COMSOL. Method four is an improved version of method three that can create partial foils as well as the base-geometry. Foil methods II, III, and IV, created every foil as a separate geometrical object. As a result, an associated method that deletes the foils were also developed for each of these methods. A conclusion that the fourth method was the most realistic method of creating a bushing core could be draw due to, among other factors, it is the only method that can build partial foils.
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Ryttberg, Mattias. "Introducing Lantmäteriet’s gravity data in ArcGIS with implementation of customized GIS functions." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-203137.

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Gravity is measured and used by Lantmäteriet to calculate a model of the geoid to get accurate reference heights for positioning. Lantmäteriet are continuously measuring new gravity and height data across Sweden to both complement, replace and to add new data points. This is mainly done by measurements in the field at benchmark points. One of the major reasons for continued measurements on e.g. benchmark points is that the measuring always moves forward which makes the measurements more accurate. More accurate data leads to a more accurate calculation of the geoid due to the more accurate gravity values. A more accurate geoid gives the possibility of more precise positioning across Sweden, due to the more precise height values. Lantmäteriet is in the process of updating their entire database of gravity data. They are also measuring at locations where there are none or sparse with measurements. As a stage in the renewing of their database and other systems the Geodesy department wishes to get an introduction to the ArcGIS environment. By customizations of several ArcGIS functions, Lantmäteriet’s work with the extensive data will get easier and perhaps faster. Customized tools will help make e. g. adding and removing data points easier, as well as making cross validation and several other functions only a click of a button away.
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Lood, Olof. "Prediktering av grundvattennivåi område utan grundvattenrör : Modellering i ArcGIS Pro och undersökningav olika miljövariablers betydelse." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448020.

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Myndigheten Sveriges Geologiska Undersökning (SGU) har ett nationellt ansvar för att övervaka Sveriges grundvattennivåer. Eftersom det inte är möjligt att få ett heltäckande mätstationssystem måste grundvattennivån beräknas på vissa platser. Därför är det intressant att undersöka sambandet mellan grundvattennivån och utvald geografisk information, så kallade miljövariabler. På sikt kan maskininlärning komma att användas inom SGU för att beräkna grundvattennivån och då kan en förstudie vara till stor hjälp. Examensarbetets syfte är att genomföra en sådan förstudie genom att undersöka vilka miljövariabler som har störst betydelse för grundvattennivån och kartlägga modellosäkerheter vid grundvattenprediktering. Förstudien genomförs på sju områden inom SGUs grundvattennät där mätstationerna finns i grupper likt kluster. I förstudien används övervakad maskininlärning som i detta examensarbete innebär att medianvärden på grundvattennivån och miljövariablerna används för att träna modellerna. Med hjälp av statistisk data från modellerna kan prestandan utvärderas och justeringar göras. Algoritmen som används heter Random Forest som skapar ett klassifikations- och regressionsträd, vilket lär modellen att utifrån given indata fatta beslut som liknar männiksans beslutfattande. Modellerna ställs upp i ArcGIS Pros verktyg Forest-based Classification and Regression. På grund av områdenas geografiska spridning sätts flera separata modeller upp. Resultatet visar att det är möjligt att prediktera grundvattennivån men betydelsen av de olika miljövariablerna varierar mellan de sju undersökta områdena. Orsaken till detta lär vara geografiska skillnader. Oftast har den absoluta höjden och markens lutningsriktning mycket stor betydelse. Höjd- och avståndsskillnad till låg och hög genomsläpplig jord har större betydelse än vad höjd- och avståndsskillnad har till medelhög genomsläpplig jord. Höjd- och avståndsskillnad har större betydelse till större vattendrag än till mindre vattendrag. Modellernas r2-värde är något låga men inom rimliga gränser för att vara hydrologiska modeller. Standardfelen är oftast inom rimliga gränser. Osäkerheten har visats genom ett     90 %-igt konfidensintervall. Osäkerheterna ökar med ökat avstånd till mätstationerna och är som högst vid hög altitud. Orsaken lär vara för få ingående observationer och för få observationer på hög höjd. Nära mätstationer, bebyggelse och i dalgångar är osäkerheterna i de flesta fallen inom rimliga gränser.
The Swedish authority Geological Survey of Sweden (SGU) has a national responsibility to oversee the groundwater levels. A national network of measurement stations has been established to facilitate this. The density of measurement stations varies considerably. Since it will never be feasible to cover the entire country with measurement stations, the groundwater levels need to be computed in areas that are not in the near vicinity of a measurement station. For that reason, it is of interest to investigate the correlation between the groundwater levels and selected geographical information, so called environmental variables. In the future, SGU may use machine learning to compute the groundwater levels. The focus of this master's thesis is to study the importance of the environmental variables and model uncertainties in order to determine if this is a feasible option for implementation on a national basis. The study uses data from seven areas of the Groundwater network of SGU, where the measuring stations are in clusters. The pilot study uses a supervised machine learning method which in this case means that the median groundwater levels and the environmental variables train the models. By evaluating the model's statistical data output the performance can gradually be improved. The algorithm used is called “Random Forest” and uses a classification and regression tree to learn how to make decisions throughout a network of nodes, branches and leaves due to the input data. The models are set up by the prediction tool “Forest-based Classification and Regression” in ArcGIS Pro. Because the areas are geographically spread out, eight unique models are set up. The results show that it’s possible to predict groundwater levels by using this method but that the importance of the environmental variables varies between the different areas used in this study. The cause of this may be due to geographical and topographical differences. Most often, the absolute level over mean sea level and slope direction are the most important variables. Planar and height distance differences to low and high permeable soils have medium high importance while the distance differences to medium high permeable soils have lower importance. Planar and height distance differences are more important to lakes and large watercourses than to small watercourses and ditches.  The model’s r2-values are slightly low in theory but within reasonable limits to be a hydrological model. The Standard Errors Estimate (SSE) are also in most cases within reasonable limits. The uncertainty is displayed by a 90 % confidence interval. The uncertainties increase with increased distance to measuring stations and become greatest at high altitude. The cause of this may be due to having too few observations, especially in areas with high altitude. The uncertainties are smaller close to the stations and in valleys.
SGUs grundvattennät
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Books on the topic "Model builder"

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Bastuscheck, C. Marc. Automatic model builder for object recognition. New York: Courant Institute of Mathematical Sciences, New York University, 1987.

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Butera, Karen. Designing sales: The builder/merchandiser handbook. Washington, D.C: National Association of Home Builders, 1987.

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Roesch, Patric Karl. The development of a model builder for a microcircuit substrate. Monterey, Calif: Naval Postgraduate School, 1991.

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Hjort, Kim. The CPPA model-builder: Technical structure and programmed options in version 1.3. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, Agriculture and Trade Analysis Division, 1991.

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Hjort, Kim. The CPPA model-builder: Technical structure and programmed options in version 1.3. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, Agriculture and Trade Analysis Division, 1991.

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Hjort, Kim. The CPPA model-builder: Technical structure and programmed options in version 1.3. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, Agriculture and Trade Analysis Division, 1991.

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Hjort, Kim. The CPPA model-builder: Technical structure and programmed options in version 1.3. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, Agriculture and Trade Analysis Division, 1991.

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Glaser, Stephen J. The development of a thermal analysis model builder for a printed circuit board. Monterey, Calif: Naval Postgraduate School, 1991.

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Bank, Gretchen G. Master builder: Bridges : [build your own models of the world's most famous structures] / by Gretchen G. Bank ; model illustration and paper engineering by Kees Moerbeek. San Diego, CA: Thunder Bay, 2008.

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Ray, Jack. Model railways and their builders. Penryn (Trevithick House, West End, Penryn, Cornwall TR10 8HE): Atlantic Transport, 1995.

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Book chapters on the topic "Model builder"

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Biere, M., Birgit Bomsdorf, and Gerd Szwillus. "The Visual Task Model Builder." In Computer-Aided Design of User Interfaces II, 245–56. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4295-3_20.

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Barlow, Horace. "Cerebral Cortex as Model Builder." In Matters of Intelligence, 395–406. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3833-5_18.

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Cobb, Paul, and Leslie P. Steffe. "The Constructivist Researcher as Teacher and Model Builder." In A Journey in Mathematics Education Research, 19–30. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9729-3_3.

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Palmisano, Alida, Stefan Hoops, Layne T. Watson, Thomas C. Jones, John J. Tyson, and Clifford A. Shaffer. "Efficiently Encoding Complex Biochemical Models with the Multistate Model Builder (MSMB)." In Modeling Biomolecular Site Dynamics, 119–39. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9102-0_5.

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Winkler, Ulrich, Mathias Fritzsche, Wasif Gilani, and Alan Marshall. "BOB the Builder: A Fast and Friendly Model-to-PetriNet Transformer." In Modelling Foundations and Applications, 416–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31491-9_31.

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Tyack, Geoffrey. "‘On Model Dwellings’ and ‘Halifax Town Hall’, Extracts from The Builder." In British Architecture 1760–1914, 149–54. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003111177-22.

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Maunder, Mark N., Hans J. Skaug, David A. Fournier, and Simon D. Hoyle. "Comparison of Fixed Effect, Random Effect, and Hierarchical Bayes Estimators for Mark Recapture Data Using AD Model Builder." In Modeling Demographic Processes In Marked Populations, 917–46. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-78151-8_42.

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Krueger, Ryan, Jesse Michael Han, and Daniel Selsam. "Automatically Building Diagrams for Olympiad Geometry Problems." In Automated Deduction – CADE 28, 577–88. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79876-5_33.

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AbstractWe present a method for automatically building diagrams for olympiad-level geometry problems and implement our approach in a new open-source software tool, the Geometry Model Builder (GMB). Central to our method is a new domain-specific language, the Geometry Model-Building Language (GMBL), for specifying geometry problems along with additional metadata useful for building diagrams. A GMBL program specifies (1) how to parameterize geometric objects (or sets of geometric objects) and initialize these parameterized quantities, (2) which quantities to compute directly from other quantities, and (3) additional constraints to accumulate into a (differentiable) loss function. A GMBL program induces a (usually) tractable numerical optimization problem whose solutions correspond to diagrams of the original problem statement, and that we can solve reliably using gradient descent. Of the 39 geometry problems since 2000 appearing in the International Mathematical Olympiad, 36 can be expressed in our logic and our system can produce diagrams for 94% of them on average. To the best of our knowledge, our method is the first in automated geometry diagram construction to generate models for such complex problems.
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Avon, Jack. "Model Build." In The Handbook of Financial Modeling, 141–72. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6540-6_7.

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Sæther, Arild. "The First Economic Model Builders 1." In Natural Law and the Origin of Political Economy, 201–8. Abingdon, Oxon ; New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315617350-22.

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Conference papers on the topic "Model builder"

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Welicki, León, Joseph W. Yoder, and Rebecca Wirfs-Brock. "Adaptive object-model builder." In the 16th Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1943226.1943231.

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Soukoreff, R. William, and I. Scott MacKenzie. "Generalized Fitts' law model builder." In Conference companion. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/223355.223456.

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Mejabi, Olugbenga O. "Object-oriented simulation using model builder." In the 25th conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/256563.256656.

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Rambow-Hoeschele, Kira, Anna Nagl, David K. Harrison, Bruce M. Wood, Karlheinz Bozem, Kevin Braun, and Peter Hoch. "Creation of a Digital Business Model Builder." In 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2018. http://dx.doi.org/10.1109/ice.2018.8436377.

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Ferry, Nicolas, Sylvain Ducloyer, Nathalie Julien, and Dominique Jutel. "Fast electrical battery model builder for embedded systems." In 2011 Faible Tension Faible Consommation (FTFC). IEEE, 2011. http://dx.doi.org/10.1109/ftfc.2011.5948915.

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Bouamama, Belkacem Ould. "Keynote 3: “Model Builder for Supervision System Design”." In 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2018. http://dx.doi.org/10.1109/codit.2018.8394773.

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Tai, Cheng-An, Yung-Lung Lee, Ching-Yuan Lin, and Hiroaki Ishii. "Earthquake evacuation shelter feasibility analysis applying with GIS model builder." In Industrial Engineering (CIE-40). IEEE, 2010. http://dx.doi.org/10.1109/iccie.2010.5668232.

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Schneider, Kurt, and Kumiyo Nakakoji. "Collaborative learning as interplay between simulation model builder and player." In The first international conference. Morristown, NJ, USA: Association for Computational Linguistics, 1995. http://dx.doi.org/10.3115/222020.222273.

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Quesada, P., A. Arguello, J. Quiros-Tortos, and G. Valverde. "Distribution network model builder for OpenDSS in open source GIS software." In 2016 IEEE PES Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA). IEEE, 2016. http://dx.doi.org/10.1109/tdc-la.2016.7805644.

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Palma, Stefano Dalla, Dario Di Nucci, and Damian Tamburri. "Defuse: A Data Annotator and Model Builder for Software Defect Prediction." In 2022 IEEE International Conference on Software Maintenance and Evolution (ICSME). IEEE, 2022. http://dx.doi.org/10.1109/icsme55016.2022.00063.

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Reports on the topic "Model builder"

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Diegert, C., and J. Sackos. Automated Geometric Model Builder Using Range Image Sensor Data: Final Acquistion. Office of Scientific and Technical Information (OSTI), February 1999. http://dx.doi.org/10.2172/3494.

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Jourdain, Sebastien, and Patrick O'Leary. Final Report Web-Based Computational Model Builder For Nuclear Energy Advanced Modeling and Simulation. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1375636.

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Allen, Luke, Joon Lim, Robert Haehnel, and Ian Detwiller. Rotor blade design framework for airfoil shape optimization with performance considerations. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41037.

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A framework for optimizing rotor blade airfoil shape is presented. The framework uses two digital workflows created within the Galaxy Simulation Builder (GSB) software package. The first is a workflow enabling the automated creation of a surrogate model for predicting airfoil performance coefficients. An accurate surrogate model for the rapid generation of airfoil coefficient tables has been developed using linear interpolation techniques that is based on C81Gen and ARC2D CFD codes. The second workflow defines the rotor blade optimization problem using GSB and the Dakota numerical optimization library. The presented example uses a quasi-Newton optimization algorithm to optimize the tip region of the UH-60A main rotor blade with respect to vehicle performance. This is accomplished by morphing the blade tip airfoil shape for optimum power, subject to a constraint on the maximum pitch link load.
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Nichols, Will E., U. Zaher, S. Mehta, and M. E. Lord. Model Package Report: Hanford Soil Inventory Model SIM v.2 Build 1. Office of Scientific and Technical Information (OSTI), February 2018. http://dx.doi.org/10.2172/1441221.

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Drewniak, Beth, Julie Jastrow, Richard Mills, Roser Matamala, Kenneth Kemner, Alexandre Renchon, Miquel Gonzalez-Meler, et al. Using AI to build a hydrobiogeochemical soil model. Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1769793.

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Glenberg, Arthur M., and William E. Langston. Comprehension of Illustrated Text: Pictures Help to Build Mental Models. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada229051.

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Kharkivska, Alla A., Liudmyla V. Shtefan, Muntasir Alsadoon, and Aleksandr D. Uchitel. Technology of forming future journalists' social information competence in Iraq based on the use of a dynamic pedagogical site. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3853.

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The article reveals scientific approaches to substantiating and developing technology to form social information competence of future Iraqi journalists based on using a dynamic pedagogical site. After pre-interviewing students of the Journalism Faculty at Al-Imam Al-Kadhim University College for Islamic Sciences in Baghdad, the authors came to the conclusion there are issues on defining the essence of social information competences. It is established that the majority of respondents do not feel satisfied with the conditions for forming these competences in the education institutions. At the same time, there were also positive trends as most future journalists recognized the importance of these professional competences for their professional development and had a desire to attend additional courses, including distance learning ones. Subsequently, the authors focused on social information competence of future journalists, which is a key issue according to European requirements. The authors describe the essence of this competence as an integrative quality of personality, which characterizes an ability to select, transform information and allows to organize effective professional communication on the basis of the use of modern communicative technologies in the process of individual or team work. Based on the analysis of literary sources, its components are determined: motivational, cognitive, operational and personal. The researchers came to the conclusion that it is necessary to develop a technology for forming social information competence of future journalists based on the use of modern information technologies. The necessity of technology implementation through the preparatory, motivational, operational and diagnostic correction stages was substantiated and its model was developed. The authors found that the main means of technology implementation should be a dynamic pedagogical site, which, unlike static, allows to expand technical possibilities by using such applications as photo galleries, RSS modules, forums, etc. Technically, it can be created using Site builder. Further research will be aimed at improving the structure of the dynamic pedagogical site of the developed technology.
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Yu, C., J. Cheng, E. Gnanapragasam, S. Kamboj, D. LePoire, and C. Wang. User's Manual for RESRAD-BUILD Code Version 4: Vol. 1 – Methodology and Models Used in RESRAD-BUILD Code. Office of Scientific and Technical Information (OSTI), December 2022. http://dx.doi.org/10.2172/1906354.

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Cole, Wesley J., and Nina M. Vincent. Historical Comparison of Capacity Build Decisions from the Regional Energy Deployment System (ReEDS) Model. Office of Scientific and Technical Information (OSTI), February 2019. http://dx.doi.org/10.2172/1505552.

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Gue, Kevin R. Data and Models to Build Supply Blocks for Deploying Marine Corps Units. Fort Belvoir, VA: Defense Technical Information Center, December 1999. http://dx.doi.org/10.21236/ada377362.

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