Academic literature on the topic 'Programming'

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Journal articles on the topic "Programming"

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El-Zakhem, Imad H. "Socratic Programming: An Innovative Programming Learning Method." International Journal of Information and Education Technology 6, no. 3 (2016): 247–50. http://dx.doi.org/10.7763/ijiet.2016.v6.694.

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COLLIS, D. "Programming Programming." Science 254, no. 5031 (1991): 589–90. http://dx.doi.org/10.1126/science.254.5031.589.

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Wheatman, Martin. "Programming Without Programming." ITNOW 60, no. 1 (2018): 56–57. http://dx.doi.org/10.1093/itnow/bwy025.

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Roque Hernández, Ramón Ventura, Sergio Armando Guerra Moya, and Frida Carmina Caballero Rico. "Acceptance and Assessment in Student Pair-Programming: A Case Study." International Journal of Emerging Technologies in Learning (iJET) 16, no. 09 (2021): 4. http://dx.doi.org/10.3991/ijet.v16i09.18693.

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This study analyzes pair programming's acceptance and assessment in the university setting considering participants' gender, previous programming ex-perience, and programming enjoyment. The sample included 80 students from three different sections enrolled in a basic programming course. We used a questionnaire to collect data after the pair programming practices. For data analysis, we used SPSS 24, and Mann-Whitney, Kruskal-Wallis, and Jonckheere-Terpstra statistical techniques. Descriptive and comparative re-sults showed a significant increasing monotonic trend in the acceptance of pair progr
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Shukla, Abhishek. "Bridging the Gap between Event-Based Programming and Functional Programming." International Journal of Science and Research (IJSR) 11, no. 1 (2022): 1595–98. http://dx.doi.org/10.21275/sr231116134821.

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Сальков and Nikolay Sal'kov. "Graph-analytic Solution of Some Special Problems of Quadratic Programming." Geometry & Graphics 2, no. 1 (2014): 3–8. http://dx.doi.org/10.12737/3842.

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Quadratic programming problems are one of special
 cases of mathematical programming problems. Mathematical programming
 problems solution is of great importance, because these
 problems are those of optimizing of solution related to presented
 issues from multitude of possible ones. The mathematical programming
 problems are linear, nonlinear, dynamic and others. It is
 suggested to consider a graph-analytic solution of quadratic programming’s
 special problems, which, taken together, constitute the
 quadratic programming problems for two and three vari
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Voronkov, A. A. "Logic programming and ?-programming." Cybernetics 25, no. 1 (1989): 83–91. http://dx.doi.org/10.1007/bf01074888.

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HUANG, HONG-ZHONG, ZHI-GANG TIAN, and YING-KUI GU. "RELIABILITY AND REDUNDANCY APPORTIONMENT OPTIMIZATION USING INTERACTIVE PHYSICAL PROGRAMMING." International Journal of Reliability, Quality and Safety Engineering 11, no. 03 (2004): 213–22. http://dx.doi.org/10.1142/s0218539304001476.

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In this paper, a new multiobjective optimization approach named interactive physical programming is proposed and used to solve the reliability and redundancy apportionment optimization problem. Interactive physical programming extends physical programming6 to an interactive framework. After the designer specifies which objectives need to be improved and which objectives can be sacrificed, interactive physical programming can obtain the Pareto solutions satisfying such improving preferences. It has good convergence performance, and can obtain satisfactory design in the end. Interactive physical
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Brustad, T. F. "Innføring av studentaktive læringsmetoder for å utvide studentenes forståelse av programmering." Nordic Journal of STEM Education 9, no. 1 (2025): 133–43. https://doi.org/10.5324/njsteme.v9i1.6294.

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Mange studenter forbinder programmering med det å skrive kode i et programmeringsspråk, men programmeringsprosessen er mye mer enn koding. Programmering er en måte å tenke, dekomponere, og løse problemer på, hvor det som regel ikke finnes ett fasitsvar. I undervisning i programmeringsfag kan det av og til være vanskelig å få studentene til å planlegge og reflektere rundt de valgene de tar når de koder, og de ender ofte opp med å velge første løsning de finner. I dette prosjektet er det gjennomført en pilotstudie hvor to ulike studentaktive læringsmetoder er implementert i et programmeringsfag.
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Rodríguez, Arturo, and Joaquín Trigueros. "Forecasting and forecast-combining of quarterly earnings-per-share via genetic programming." Estudios de Administración 15, no. 2 (2020): 47. http://dx.doi.org/10.5354/0719-0816.2008.56413.

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In this study we examine different methodologies to estimate earnings. More specifically, we evaluate the viability of Genetic Programming as both a forecasting model estimator and a forecast-combining methodology. When we compare the performance of traditional mechanical forecasting (ARIMA) models and models developed using Genetic Programming we observe that Genetic Programming can be used to create time-series models for quarterly earnings as accurate as the traditional linear models. Genetic Programming can also effectively combine forecasts. However, Genetic Programming's forecast combina
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Dissertations / Theses on the topic "Programming"

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Yung, Simon Yun Pui. "Definitive programming : a paradigm for exploratory programming." Thesis, University of Warwick, 1992. http://wrap.warwick.ac.uk/78859/.

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Exploratory software development is a method that applies to the development of programs whose requirement is initially unclear. In such a context, it is only through prototyping and experimenting on the prototypes that the requirement can be fully developed. A good exploratory software development method must have a short development cycle. This thesis describes our attempt to fulfil this demand. We address this issue in the programming language level. A novel programming paradigm - definitive (definition-based) programming - is developed. In definitive programming, a state is represented by
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Espinoza, Daniel G. "On Linear Programming, Integer Programming and Cutting Planes." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10482.

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In this thesis we address three related topic in the field of Operations Research. Firstly we discuss the problems and limitation of most common solvers for linear programming, precision. We then present a solver that generate rational optimal solutions to linear programming problems by solving a succession of (increasingly more precise) floating point approximations of the original rational problem until the rational optimality conditions are achieved. This method is shown to be (on average) only 20% slower than the common pure floating point approach, while returning true optimal solutions
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Wei, Hua. "Numerical Stability in Linear Programming and Semidefinite Programming." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2922.

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We study numerical stability for interior-point methods applied to Linear Programming, LP, and Semidefinite Programming, SDP. We analyze the difficulties inherent in current methods and present robust algorithms. <br /><br /> We start with the error bound analysis of the search directions for the normal equation approach for LP. Our error analysis explains the surprising fact that the ill-conditioning is not a significant problem for the normal equation system. We also explain why most of the popular LP solvers have a default stop tolerance of only 10<sup>-8</sup> when the
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Kirby, Graham N. C. "Reflection and hyper-programming in persistent programming systems." Thesis, University of St Andrews, 1992. http://hdl.handle.net/10023/1673.

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In an orthogonally persistent programming system, data is treated in a manner independent of its persistence. This gives simpler semantics, allows the programmer to ignore details of long-term data storage and enables type checking protection mechanisms to operate over the entire lifetime of the data. The ultimate goal of persistent programming language research is to reduce the costs of producing software. The work presented in this thesis seeks to improve programmer productivity in the following ways: • by reducing the amount of code that has to be written to construct an application; • by i
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Yoo, Daniel. "Building Web Based Programming Environments for Functional Programming." Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-dissertations/181.

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Functional programming offers an accessible and powerful algebraic model for computing. JavaScript is the language of the ubiquitous Web, but it does not support functional programs well due to its single-threaded, asynchronous nature and lack of rich control flow operators. The purpose of this work is to extend JavaScript to a language environment that satisfies the needs of functional programs on the Web. This extended language environment uses sophisticated control operators to provide an event-driven functional programming model that cooperates with the browser's DOM, along with synchron
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Jama, Fartun. "Integrating secure programming concepts in introductory programming courses." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96870.

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The number of vulnerable systems with exploitable security defects has increased. This led to an increase in the demand for secure software systems. Software developers lack security experiences to design and build secure software, some even believe security is not their responsibility. Despite the increased need for teaching security and secure programming, security is not well integrated into the undergraduate computing curriculum and is only offered as part of a program or as an elective course. The aim of this project is to outline the importance of incorporating security and secure progra
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Alam, Abu S. "A programming system for end-user functional programming." Thesis, University of Gloucestershire, 2015. http://eprints.glos.ac.uk/2738/.

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This research involves the construction of a programming system, HASKEU, to support end-user programming in a purely functional programming language. An end-user programmer is someone who may program a computer to get their job done, but has no interest in becoming a computer programmer. A purely functional programming language is one that does not require the expression of statement sequencing or variable updating. The end-user is offered two views of their functional program. The primary view is a visual one, in which the program is presented as a collection of boxes (representing processes)
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Zemkoho, Alain B. "Bilevel programming." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2012. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-89017.

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We have considered the bilevel programming problem in the case where the lower-level problem admits more than one optimal solution. It is well-known in the literature that in such a situation, the problem is ill-posed from the view point of scalar objective optimization. Thus the optimistic and pessimistic approaches have been suggested earlier in the literature to deal with it in this case. In the thesis, we have developed a unified approach to derive necessary optimality conditions for both the optimistic and pessimistic bilevel programs, which is based on advanced tools from variational ana
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Zuliani, Paolo. "Quantum programming." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393364.

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Mahmood, Muhammad Yasir. "Inexact Programming." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4351.

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Two types of fuzzy linear programming i.e. fuzzy number linear programming and interval number linear programming are used for optimization problems. In interval form of linear programming we convert the inequalities from the feasible region, containing intervals as coefficients, to two groups of inequalities characterized by real, exact coefficients values. Then classical programming has been used to achieve an optimal solution in the feasible region. In fuzzy number linear programming, α‐cuts and LR forms of fuzzy numbers as coefficients have been used to find optimal solution in the feasibl
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Books on the topic "Programming"

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Open University. Programming and Programming Languages Course Team., ed. Programming and programming languages. Open University Press, 1986.

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Open University. Programming and Programming Languages Course Team., ed. Programming and programming languages. Open University Press, 1990.

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Richard, Mansfield. Programming. McGraw-Hill, 2009.

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Barichard, Vincent, Matthias Ehrgott, Xavier Gandibleux, and Vincent T'Kindt, eds. Multiobjective Programming and Goal Programming. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85646-7.

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Harvey, Abramson, Rogers M. H. 1930-, and META88 (1988 : University of Bristol), eds. Meta-programming in logic programming. MIT Press, 1989.

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Pearce, Jon. Programming and Meta-Programming in Scheme. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1682-7.

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Deransart, Pierre, and Jan Maluszyński, eds. Programming Language Implementation and Logic Programming. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/bfb0024171.

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Maluszyński, Jan, and Martin Wirsing, eds. Programming Language Implementation and Logic Programming. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54444-5.

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Tanino, Tetsuzo, Tamaki Tanaka, and Masahiro Inuiguchi. Multi-Objective Programming and Goal Programming. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36510-5.

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Deransart, P., B. Lorho, and J. Małuszyński, eds. Programming Languages Implementation and Logic Programming. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-50820-1.

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Book chapters on the topic "Programming"

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Wang, Lin. "Mathematical Programming, Linear Programming." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_406.

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Fox, Richard. "Programming and Programming Languages." In Information Technology. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781003050971-8.

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Kalkan, Sinan, Onur T. Şehitoğlu, and Göktürk Üçoluk. "Programming and Programming Languages." In Programming with Python for Engineers. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57148-0_2.

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Fox, Richard. "Programming and Programming Languages." In Information Technology, 3rd ed. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003528838-8.

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Kaufmann, Stephan. "Programming." In Mathematica as a Tool. Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-8526-3_4.

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Steinmetz, Ralf, and Klara Nahrstedt. "Programming." In X.media.publishing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08876-0_3.

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Krause, Andreas, and Melvin Olson. "Programming." In The Basics of S and S-Plus. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2751-7_8.

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Britz, Dieter, and Jörg Strutwolf. "Programming." In Monographs in Electrochemistry. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30292-8_16.

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Jenkins, Tony, and Graham Hardman. "Programming." In How to Program Using Java. Macmillan Education UK, 2004. http://dx.doi.org/10.1007/978-0-230-80243-8_2.

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Tang, Weifeng. "Programming." In Transforming Domain into Boundary Integrals in BEM. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83465-3_5.

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Conference papers on the topic "Programming"

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Gerin, Raphaël, Julie Dumora, Olivier David, and Baptiste Gradoussoff. "Cognitive Programming Interface : from Task Level Programming to Coherent Task Level Programming." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711577.

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Parsons, Mark I., and Francis W. Wray. "Programming FPGAs---Programming FPGAs." In the 2006 ACM/IEEE conference. ACM Press, 2006. http://dx.doi.org/10.1145/1188455.1188481.

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Hassinen, Marko, and Hannu Mäyrä. "Learning programming by programming." In the 6th Baltic Sea conference. ACM Press, 2006. http://dx.doi.org/10.1145/1315803.1315824.

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Lämmel, Ralf, Eelco Visser, and Joost Visser. "Strategic programming meets adaptive programming." In the 2nd international conference. ACM Press, 2003. http://dx.doi.org/10.1145/643603.643621.

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Hermans, Felienne, and Marlies Aldewereld. "Programming is Writing is Programming." In Programming '17: International Conference on the Art, Science, and Engineering of Programming. ACM, 2017. http://dx.doi.org/10.1145/3079368.3079413.

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Igwe, Kevin, and Nelishia Pillay. "Automatic programming using genetic programming." In 2013 Third World Congress on Information and Communication Technologies (WICT). IEEE, 2013. http://dx.doi.org/10.1109/wict.2013.7113158.

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Velbitskiy, Igor. "Programming without Programming Languages New Graphic Polyglot Concept of Programming." In 2016 6th International Conference on IT Convergence and Security (ICITCS). IEEE, 2016. http://dx.doi.org/10.1109/icitcs.2016.7740364.

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Dantas, Danilo Medeiros, Jucelio Soares dos Santos, Kézia de Vasconcelos Oliveira Dantas, Wilkerson L. Andrade, João Brunet, and Monilly Ramos Araujo Melo. "Screening Programming’s Reliability to Measure Predictive Programming Skills." In Simpósio Brasileiro de Informática na Educação. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sbie.2023.235112.

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This study aimed to evaluate the reliability of an item bank developed in the Screening Programming system for measuring predictive programming skills. The results revealed that the selected items showed good content analysis and consistent psychometric properties. Furthermore, the instruments created from this item bank demonstrated good reliability in professional assessments, validating their accuracy and stability across different contexts and populations. These findings contribute to the programming field by providing a reliable instrument for assessing and developing predictive skills in
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Teague, Donna, and Raymond Lister. "Programming." In the 2014 conference. ACM Press, 2014. http://dx.doi.org/10.1145/2591708.2591712.

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Bergin, Susan, and Ronan Reilly. "Programming." In the 36th SIGCSE technical symposium. ACM Press, 2005. http://dx.doi.org/10.1145/1047344.1047480.

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Reports on the topic "Programming"

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Cai, Yongyang, Kenneth Judd, Thomas Lontzek, Valentina Michelangeli, and Che-Lin Su. Nonlinear Programming Method for Dynamic Programming. National Bureau of Economic Research, 2013. http://dx.doi.org/10.3386/w19034.

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Bixby, Robert E. Linear Programming Tools for Integer Programming. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada219013.

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Manna, Zohar. Deductive Programming. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada202489.

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Daniel, David J., Allen Mc Pherson, John R. Thorp, et al. Programming models. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1047128.

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Taylor, Steven. Scalable Concurrent Programming Project, Scalable Concurrent Programming Laboratory. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada315138.

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Bixby, Robert. Linear-Programming Tools in Integer Programming: The Traveling Salesman. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada261398.

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Manna, Zohar. Deductive Programming Synthesis. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada206451.

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Hu, Hui. Semi-Infinite Programming. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada207403.

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Partow, Perry. Scalable Programming Environment. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada286390.

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Kiczales, Gregor, James Hugunin, Erik Hilsdale, Mik Kersten, and Jeff Palm. Aspect Oriented Programming. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada417906.

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