Bibliografías temáticas / Pointer Analysi

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Literatura académica sobre el tema "Pointer Analysi"

Autor: Grafiati
Publicado: 11 de marzo de 2023
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Pointer Analysi"

1

Shields, Denis C., Andrew Collins, and Angela Marlow. "Coding of pointers in the segregation analysis program POINTER." Genetic Epidemiology 11, no. 4 (1994): 385–87. http://dx.doi.org/10.1002/gepi.1370110408.

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Zhou, Jinmeng, Ziyue Pan, Wenbo Shen, Xingkai Wang, Kangjie Lu, and Zhiyun Qian. "Type-Alias Analysis: Enabling LLVM IR with Accurate Types." Proceedings of the ACM on Software Engineering 2, ISSTA (2025): 2203–26. https://doi.org/10.1145/3728974.

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LLVM Intermediate Representation (IR) underpins the LLVM compiler infrastructure, offering a strong type system and a static single-assignment (SSA) form that are well-suited for program analysis. However, its single-type design assigns exactly one type to each IR variable, even when the variable may legitimately correspond to multiple types. The recent introduction of opaque pointers exacerbates this limitation: all pointers in the IR are uniformly represented with a generic pointer type (ptr) that erases concrete pointee type information, making many type-based analyses ineffective. To addre
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Zou, Changwei, Dongjie He, Yulei Sui, and Jingling Xue. "TIPS: Tracking Integer-Pointer Value Flows for C++ Member Function Pointers." Proceedings of the ACM on Software Engineering 1, FSE (2024): 1609–31. http://dx.doi.org/10.1145/3660779.

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C++ is crucial in software development, providing low-level memory control for performance and supporting object-oriented programming to construct modular, reusable code structures. Consequently, tackling pointer analysis for C++ becomes challenging, given the need to address these two fundamental features. A relatively unexplored research area involves the handling of C++ member function pointers. Previous efforts have tended to either disregard this feature or adopt a conservative approach, resulting in unsound or imprecise results. C++ member function pointers, handling both virtual (via vi
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4

Matsumoto, Aki, D. S. Han, and Takao Tsuda. "Alias analysis of pointers in Pascal and Fortran 90: dependence analysis between pointer references." Acta Informatica 33, no. 2 (1996): 99–130. http://dx.doi.org/10.1007/s002360050037.

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Smaragdakis, Yannis, and George Balatsouras. "Pointer Analysis." Foundations and Trends® in Programming Languages 2, no. 1 (2015): 1–69. http://dx.doi.org/10.1561/2500000014.

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Smaragdakis, Yannis, and George Balatsouras. "Pointer Analysis." Foundations and Trends® in Programming Languages 2, no. 1 (2015): 1–69. https://doi.org/10.1561/2500000014.

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Pointer analysis is a fundamental static program analysis, with a rich literature and wide applications. The goal of pointer analysis is to compute an approximation of the set of program objects that a pointer variable or expression can refer to. We present an introduction and survey of pointer analysis techniques, with an emphasis on distilling the essence of common analysis algorithms. To this end, we focus on a declarative presentation of a common core of pointer analyses: algorithms are modeled as configurable, yet easy-to-follow, logical specifications. The specifications serve as a
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7

Wang, Shao-Chung, Lin-Ya Yu, Li-An Her, Yuan-Shin Hwang, and Jenq-Kuen Lee. "Pointer-Based Divergence Analysis for OpenCL 2.0 Programs." ACM Transactions on Parallel Computing 8, no. 4 (2021): 1–23. http://dx.doi.org/10.1145/3470644.

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A modern GPU is designed with many large thread groups to achieve a high throughput and performance. Within these groups, the threads are grouped into fixed-size SIMD batches in which the same instruction is applied to vectors of data in a lockstep. This GPU architecture is suitable for applications with a high degree of data parallelism, but its performance degrades seriously when divergence occurs. Many optimizations for divergence have been proposed, and they vary with the divergence information about variables and branches. A previous analysis scheme viewed pointers and return values from
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Hirzel, Martin, Daniel Von Dincklage, Amer Diwan, and Michael Hind. "Fast online pointer analysis." ACM Transactions on Programming Languages and Systems 29, no. 2 (2007): 11. http://dx.doi.org/10.1145/1216374.1216379.

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Zhu, Jianwen, and Silvian Calman. "Symbolic pointer analysis revisited." ACM SIGPLAN Notices 39, no. 6 (2004): 145–57. http://dx.doi.org/10.1145/996893.996860.

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Peng-Sheng Chen, Yuan-Shin Hwang, R. D. C. Ju, and J. K. Lee. "Interprocedural probabilistic pointer analysis." IEEE Transactions on Parallel and Distributed Systems 15, no. 10 (2004): 893–907. http://dx.doi.org/10.1109/tpds.2004.56.

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Tesis sobre el tema "Pointer Analysi"

1

Ghiya, Rakesh. "Putting pointer analysis to work." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0002/NQ44439.pdf.

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Sims, Elodie-Jane. "Pointer analysis and separation logic." Diss., Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/506.

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Fu, Zhoulai. "Static analysis of numerical properties in the presence of pointers." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00918593.

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The fast and furious pace of change in computing technology has become an article of faith for many. The reliability of computer-based systems cru- cially depends on the correctness of its computing. Can man, who created the computer, be capable of preventing machine-made misfortune? The theory of static analysis strives to achieve this ambition. The analysis of numerical properties of programs has been an essential research topic for static analysis. These kinds of properties are commonly modeled and handled by the concept of numerical abstract domains. Unfor- tunately, lifting these domains
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Sims, Elodie-Jane. "Analyses de Pointeurs et Logique de Séparation." Phd thesis, Ecole Polytechnique X, 2007. http://pastel.archives-ouvertes.fr/pastel-00003506.

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Le cadre de cette thèse est l'analyse statique modulaire par interprétation abstraite de logiciels en vue de leur vérification automatique. Nous nous intéressons en particulier aux programmes comportant des objets alloués dynamiquement sur un tas et repérés par des pointeurs. Le but final étant de trouver des erreurs dans un programme (problèmes de déréférencements et d'alias) ou de prouver qu'un programme est correct (relativement à ces problèmes) de façon automatique. Isthiaq, Pym, O'Hearn et Reynolds ont développé récemment des logiques de fragmentation (separation logics) qui sont des logi
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Raiskup, Pavel. "Vylepšení analýzy živých proměnných pomocí points-to analýzy." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236511.

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Languages such as C use pointers very heavily. Implementation of operations on dynamically linked structures is, however, quite difficult. This can cause the programmer to make more mistakes than usual. One method for dealing with this situation is to use the static analysis tools. This thesis elaborates on the extension to the Code Listener architecture which is an interface for building static analysis tools. Code Listener is able to construct a call-graph or a control flow graph for a given source code and send it to the analyzing tool. One ability of the architecture is that it can conduct
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GARIBOLDI, BIANCA MARIA. "Norms of the lattice point discrepancy." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2017. http://hdl.handle.net/10281/151708.

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Main topic is the discrepancy, studied for different kind of sets under different hypothesis (curvature, dimensions,..). In particular we try to estimate the norms of the discrepancy respect to translations, rotations and dilations.<br>Main topic is the discrepancy, studied for different kind of sets under different hypothesis (curvature, dimensions,..). In particular we try to estimate the norms of the discrepancy respect to translations, rotations and dilations.
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7

Rombourg, Romain. "Analyse, modélisation et détection de bruits pour scanners laser terrestres." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM064.

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Dans cette thèse, nous nous sommes concentrés sur plusieurs sujets liés à la détection du bruit dans les nuages de points générés par les scanners laser terrestres (TLS). Premièrement, les méthodes de projection pour calculer une image à partir d'un balayage TLS. Deuxièmement, la détection du bruit du ciel, c'est-à-dire le bruit produit lorsqu'une mesure d'un TLS à onde continue modulée en amplitude n'est effectuée que sur du rayonnement ambiant. Et enfin, la détection du bruit de points mixtes, c'est-à-dire les points acquis lorsque le TLS reçoit des signaux de retour de plusieurs surfaces di
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8

Sălcianu, Alexandru D. (Alexandru Doru) 1975. "Pointer analysis and its applications for Java programs." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86781.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.<br>Includes bibliographical references (p. 135-137).<br>by Alexandru D. Sălcianu.<br>S.M.
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Whaley, John. "Context-sensitive pointer analysis using binary decision diagrams /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Mensi, Amira. "Analyse des pointeurs pour le langage C." Phd thesis, Ecole Nationale Supérieure des Mines de Paris, 2013. http://pastel.archives-ouvertes.fr/pastel-00944703.

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Les analyses statiques ont pour but de déterminer les propriétés des programmes au moment de la compilation. Contrairement aux analyses dynamiques, le comportement exact du programme ne peut être connu. Par conséquent, on a recours à des approximations pour remédier à ce manque d'information. Malgré ces approximations, les analyses statiques permettent des optimisations et des transformations efficaces pour améliorer les performances des programmes. Parmi les premières analyses du processus d'optimisation figure l'analyse des pointeurs. Son but est d'analyser statiquement un programme en entré
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Libros sobre el tema "Pointer Analysi"

1

Costello, Brian J. Creole Pointe Coupee: A sociological analysis. John and Noelie Laurent Ewing, 2002.

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Pawłucki, Wiesław. Points de Nash des ensembles sous-analytiques. American Mathematical Society, 1990.

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Dreger, J. Brian. Function point analysis. Prentice Hall, 1989.

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McFetridge, D. G. Les technologies de pointe au Canada: Analyse des données récentes sur leur utilisation. Conseil économique du Canada, 1992.

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1951-, Rassias Themistocles M., ed. Nonlinear analysis. World Scientific, 1987.

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Kavian, Otared. Introduction à la théorie des points critiques et applications aux problèmes elliptiques. Springer-Verlag, 1993.

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Masiello, Antonio. Variational methods in Lorentzian geometry. Longman Scientific & Technical, 1994.

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Plenge, Waagepetersen Rasmus, ed. Statistical inference and simulation for spatial point processes. Chapman & Hall/CRC, 2004.

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Manuel, Nathenson, Diment William H, and Geological Survey (U.S.), eds. BPE and BPD, BASIC programs for microcomputers to calculate the local boiling point and the boiling-point depth curve for "pure" water. Dept. of the Interior, U.S. Geological Survey, 1987.

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Palais, Richard S. Critical point theory and submanifold geometry. Springer-Verlag, 1988.

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Capítulos de libros sobre el tema "Pointer Analysi"

1

Yong, Suan Hsi, and Susan Horwitz. "Pointer-Range Analysis." In Static Analysis. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27864-1_12.

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Khedker, Uday P., Alan Mycroft, and Prashant Singh Rawat. "Liveness-Based Pointer Analysis." In Static Analysis. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33125-1_19.

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Guyer, Samuel Z., and Calvin Lin. "Client-Driven Pointer Analysis." In Static Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44898-5_12.

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Simon, Luke. "Optimizing Pointer Analysis Using Bisimilarity." In Static Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03237-0_16.

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Petruşel, Adrian, and Gabriela Petruşel. "Coupled Fixed Points and Coupled Coincidence Points via Fixed Point Theory." In Mathematical Analysis and Applications. John Wiley & Sons, Inc, 2018. http://dx.doi.org/10.1002/9781119414421.ch19.

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Zhang, Wei, and Yu Zhang. "Lightweight Function Pointer Analysis." In Information Security Practice and Experience. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17533-1_30.

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Chen, Chaomei. "Knowledge Domain Analysis." In Turning Points. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19160-2_6.

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Ye, Sen, Yulei Sui, and Jingling Xue. "Region-Based Selective Flow-Sensitive Pointer Analysis." In Static Analysis. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10936-7_20.

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Shapiro, Marc, and Susan Horwitz. "The effects of the precision of pointer analysis." In Static Analysis. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0032731.

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Venet, Arnaud. "A Scalable Nonuniform Pointer Analysis for Embedded Programs." In Static Analysis. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27864-1_13.

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Actas de conferencias sobre el tema "Pointer Analysi"

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Verbeek, Freek, Ali Shokri, Daniel Engel, and Binoy Ravindran. "Formally Verified Binary-Level Pointer Analysis." In 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE). IEEE, 2025. https://doi.org/10.1109/icse55347.2025.00231.

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Li, Haofeng, Chenghang Shi, Jie Lu, Lian Li, and Zixuan Zhao. "Module-Aware Context Sensitive Pointer Analysis." In 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE). IEEE, 2025. https://doi.org/10.1109/icse55347.2025.00227.

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Li, Da. "High fidelity point completion for substation equipment point cloud." In Fourth International Conference on Computer Vision and Pattern Analysis (ICCPA 2024), edited by Ji Zhao and Yonghui Yang. SPIE, 2024. http://dx.doi.org/10.1117/12.3037812.

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Hind, Michael. "Pointer analysis." In the 2001 ACM SIGPLAN-SIGSOFT workshop. ACM Press, 2001. http://dx.doi.org/10.1145/379605.379665.

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Zhu, Jianwen. "Symbolic pointer analysis." In the 2002 IEEE/ACM international conference. ACM Press, 2002. http://dx.doi.org/10.1145/774572.774594.

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Biallas, Sebastian, Mads Chr Olesen, Franck Cassez, and Ralf Huuck. "PtrTracker: Pragmatic pointer analysis." In 2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation (SCAM). IEEE, 2013. http://dx.doi.org/10.1109/scam.2013.6648186.

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Liu, Peng, Omer Tripp, and Xiangyu Zhang. "IPA: improving predictive analysis with pointer analysis." In ISSTA '16: International Symposium on Software Testing and Analysis. ACM, 2016. http://dx.doi.org/10.1145/2931037.2931046.

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Zhu, Jianwen, and Silvian Calman. "Symbolic pointer analysis revisited." In the ACM SIGPLAN 2004 conference. ACM Press, 2004. http://dx.doi.org/10.1145/996841.996860.

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Heintze, Nevin, and Olivier Tardieu. "Demand-driven pointer analysis." In the ACM SIGPLAN 2001 conference. ACM Press, 2001. http://dx.doi.org/10.1145/378795.378802.

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Narinyan, Nataliya. "Golden points and bifurcation points as red light." In Systems Analysis in Economics - 2020. Moscow, "Science" Publishing House, 2021. http://dx.doi.org/10.33278/sae-2020.book1.246-249.

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Informes sobre el tema "Pointer Analysi"

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O'Boyle, Ernest. Meta-Analysis and Systematic Reviews for the Social Sciences. Instats Inc., 2023. http://dx.doi.org/10.61700/7qu4pskuz9ke8469.

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This meta-analysis seminar will teach you how to confidently conduct a meta-analysis, from start to finish, in whatever substantive area interests you the most. This seminar will show you that the underlying statistics and analytic procedures are straightforward, but meta-analyses are anything but easy and require care, transparency, and accuracy through every step of the process -- from idea formation to interpretation and presentation of results. This seminar will cover all of this in detail so you can confidently plan and conduct your own meta-analyses. An official Instats certificate of co
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Berney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40401.

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The ability to remotely assess road and airfield pavement condition is critical to dynamic basing, contingency deployment, convoy entry and sustainment, and post-attack reconnaissance. Current Army processes to evaluate surface condition are time-consuming and require Soldier presence. Recent developments in the area of photogrammetry and light detection and ranging (LiDAR) enable rapid generation of three-dimensional point cloud models of the pavement surface. Point clouds were generated from data collected on a series of asphalt, concrete, and unsurfaced pavements using ground- and aerial-ba
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Mucke, Hermann. D6.5 Generic guideline for conducting an extended FtO analysis and FtO analyses for all intended clinical trials. REPO4EU, 2023. http://dx.doi.org/10.58647/repo4eu.202300d6.5.

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This document provides the generic methodology and specific resource access points to conduct a freedom-to-operate (FtO) analysis tailored to the needs of a drug repurposing project. It has been compiled based on the extensive experience the author has accumulated with many projects of this type. Its most valuable feature is that it can be executed with minimal technical resources (only web access is required) and can be conducted internally up to the point where potentially critical findings (if any) are discussed with a patent attorney. When conducted properly this method actually improves t
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Wiggin, Roger. Functional analysis of Great Basin projectile points. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2789.

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Spears, William M., and Kenneth A. De Jong. An Analysis of Multi-Point Crossover,. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada294057.

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Neher, Daryl E., and II. Research Report Point Reactor Kinetic Analysis. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada410867.

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Meisel, L. V., and M. A. Johnson. Multifractal Analysis of Chaotic Point Sets. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada250756.

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Livina, V. Tipping point analysis and its applications. National Physical Laboratory, 2023. http://dx.doi.org/10.47120/npl.ms47.

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Cheung, Mike. Meta-Analytic SEM in R. Instats Inc., 2023. http://dx.doi.org/10.61700/2sgaqfuzkt040469.

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This seminar introduces the logic of meta-analytic structural equation modeling (MASEM) and illustrates how to conduct the analyses with R. Meta-analytic SEM is an incredibly powerful tool for hypothesis and theory testing, relying on pooled correlation matrices from primary studies, and this seminar will teach you the basics of MASEM and how to apply it in your own research, using many hands-on examples with Professor Cheung's R package for MASEM. When purchasing the MASEM seminar you will be freely enrolled in two on-demand seminars that introduce the logic of path analysis and CFA/SEM in R
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Cheung, Mike. Meta-Analytic SEM in R + 2 Free Seminars. Instats Inc., 2022. http://dx.doi.org/10.61700/av62y8z8nlnn6469.

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This seminar introduces the logic of meta-analytic structural equation modeling (MASEM) and illustrates how to conduct the analyses with R. Meta-analytic structural equation modeling (MASEM) is an incredibly powerful tool for hypothesis and theory testing, relying on pooled correlation matrices from primary studies, and this seminar will teach you the basics of MASEM and how to apply it in your own research, using many hands-on examples with Professor Cheung's R package for MASEM. When purchasing the MASEM seminar you will be freely enrolled in two on-demand seminars that introduce the logic o
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