Relevant bibliographies by topics / The method of multidimensional scaling

Contents

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

Academic literature on the topic 'The method of multidimensional scaling'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'The method of multidimensional scaling.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "The method of multidimensional scaling"

1

KURLYANDSKII, Viktor V., and Aleksandr N. BILANENKO. "Using the multidimensional scaling method when assessing the financial feasibility of including foreign exchange market assets in securities portfolios." Finance and Credit 29, no. 7 (2023): 1595–614. http://dx.doi.org/10.24891/fc.29.7.1595.

Full text
Abstract:
Subject. This article discusses the application of the multidimensional scaling method to improve the methods of formation and effective management of a portfolio of securities. Objectives. The article aims to prove the rationality of using the multidimensional scaling method to assess the financial feasibility of including foreign exchange market assets in securities portfolios. Methods. For the study, we used the methods of correlation analysis and multidimensional scaling. Results. The article finds that the use of the multidimensional scaling method helps identify similar features of the a
APA, Harvard, Vancouver, ISO, and other styles
2

MIYANO, Hisao. "Multidimensional Scaling Method for Asymmetric Similarity Data." Transactions of the Society of Instrument and Control Engineers 26, no. 1 (1990): 87–92. http://dx.doi.org/10.9746/sicetr1965.26.87.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Manjunatha, B., Appaji Pundalik Naik, K. R. Mahendra, et al. "Multidimensional Scaling Method and Some Practical Applications." Archives of Current Research International 24, no. 6 (2024): 586–99. http://dx.doi.org/10.9734/acri/2024/v24i6814.

Full text
Abstract:
Multi-Dimensional Scaling (MDS) is a data visualization method that identifies clusters of points by representing the distances or dissimilarities between sets of objects in a lower-dimensional space. This paper explores the theoretical concepts of MDS, various methods of implementation, and the analytical processes involved. Emphasis is placed on the "Stress" function, a goodness-of-fit metric that quantifies the discrepancy between distances in high-dimensional and lower-dimensional spaces. Practical examples and detailed procedures for implementing MDS using MS-Excel and R are provided to e
APA, Harvard, Vancouver, ISO, and other styles
4

Walesiak, Marek. "The Choice of Groups of Variable Normalization Methods in Multidimensional Scaling." Przegląd Statystyczny 63, no. 1 (2016): 7–18. http://dx.doi.org/10.5604/01.3001.0014.1145.

Full text
Abstract:
In multidimensional scaling carried out on the basis of metric data matrix (interval, ratio) one of the stages is the choice of the variable normalization method. The R package clusterSim with data. Normalization function has been developed for that purpose. It provides 18 data normalization methods. In this paper the proposal of procedure which allows to isolate groups of normalization methods that lead to similar multidimensional scaling results were presented. The proposal can reduce the problem of choosing the normalization method in multidimensional scaling. The results are illustrated vi
APA, Harvard, Vancouver, ISO, and other styles
5

Xuan, Qi, Xiaodi Ma, Chenbo Fu, Hui Dong, Guijun Zhang, and Li Yu. "Heterogeneous multidimensional scaling for complex networks." International Journal of Modern Physics C 26, no. 02 (2015): 1550023. http://dx.doi.org/10.1142/s0129183115500230.

Full text
Abstract:
Many real-world networks are essentially heterogeneous, where the nodes have different abilities to gain connections. Such networks are difficult to be embedded into low-dimensional Euclidean space if we ignore the heterogeneity and treat all the nodes equally. In this paper, based on a newly defined heterogeneous distance and a generalized network distance under the constraints of network and triangle inequalities, respectively, we propose a new heterogeneous multidimensional scaling method (HMDS) to embed different networks into proper Euclidean spaces. We find that HMDS behaves much better
APA, Harvard, Vancouver, ISO, and other styles
6

Wawrosz, Petr, and David Křížek. "Visualisation of linear ordering results using multidimensional scaling – problems and an overview of studies." Argumenta Oeconomica 54, no. 1 (2025): 204–24. https://doi.org/10.15611/aoe.2025.1.13.

Full text
Abstract:
Aim: The aim of the article was to review the methodological solutions proposed as part of the hybrid method, which combines linear ordering with multidimensional scaling for various types of data. In the first step, after applying multidimensional scaling, it was possible to visualise objects of interest in a two-dimensional space. In the second step, the objects were linearly ordered according to an aggregate measure based on the Euclidean distance. Methodology: The general procedure of the hybrid method, which can be used to visualise results of linear ordering for metric, ordinal and inter
APA, Harvard, Vancouver, ISO, and other styles
7

Walesiak, Marek, Grażyna Dehnel, and Andrzej Dudek. "Visualisation of linear ordering results using multidimensional scaling – problems and an overview of studies." Argumenta Oeconomica 54, no. 1 (2025): 187–203. https://doi.org/10.15611/aoe.2025.1.12.

Full text
Abstract:
Aim: The aim of the article was to review the methodological solutions proposed as part of the hybrid method, which combines linear ordering with multidimensional scaling for various types of data. In the first step, after applying multidimensional scaling, it was possible to visualise objects of interest in a two-dimensional space. In the second step, the objects were linearly ordered according to an aggregate measure based on the Euclidean distance. Methodology: The general procedure of the hybrid method, which can be used to visualise results of linear ordering for metric, ordinal and inter
APA, Harvard, Vancouver, ISO, and other styles
8

Rohde, Douglas L. T. "Methods for Binary Multidimensional Scaling." Neural Computation 14, no. 5 (2002): 1195–232. http://dx.doi.org/10.1162/089976602753633457.

Full text
Abstract:
Multidimensional scaling (MDS) is the process of transforming a set of points in a high-dimensional space to a lower-dimensional one while preserving the relative distances between pairs of points. Although effective methods have been developed for solving a variety of MDS problems, they mainly depend on the vectors in the lower-dimensional space having real-valued components. For some applications, the training of neural networks in particular, it is preferable or necessary to obtain vectors in a discrete, binary space. Unfortunately, MDS into a low-dimensional discrete space appears to be a
APA, Harvard, Vancouver, ISO, and other styles
9

Saito, Takayuki, and Shin-ichi Takeda. "Multidimensional Scaling of Asymmetric Proximity: Model and Method." Behaviormetrika 17, no. 28 (1990): 49–80. http://dx.doi.org/10.2333/bhmk.17.28_49.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

de Leeuw, Jan. "Convergence of the majorization method for multidimensional scaling." Journal of Classification 5, no. 2 (1988): 163–80. http://dx.doi.org/10.1007/bf01897162.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "The method of multidimensional scaling"

1

Molytė, Alma. "Investigation of Combinations of Vector Quantization Methods with Multidimensional Scaling." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110630_133937-99171.

Full text
Abstract:
Often there is a need to establish and understand the structure of multidimensional data: their clusters, outliers, similarity and dissimilarity. One of solution ways is a dimensionality reduction and visualization of the data. If a huge datasets is analyzed, it is purposeful to reduce the number of the data items before visualization. The area of research is reduction of the number of the data analyzed and mapping the data in a plane. In the dissertation, vector quantization methods, based on artificial neural networks, and visualization methods, based on a dimensionality reduction, have been
APA, Harvard, Vancouver, ISO, and other styles
2

Dwyer, Theodore James. "An Assessment of Paired Similarities and Card Sorting." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000158.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Kim, Young Yee. "Effects of test linking methods on proficiency classification UIRT versus MIRT linking /." Diss., Connect to online resource - MSU authorized users, 2008.

Find full text
Abstract:
Thesis (Ph.D.)--Michigan State University. Measurement and Quantiative Methods Educational Policy, 2008.<br>Title from PDF t.p. (viewed on Mar. 30, 2009) Includes bibliographical references (p.193-199). Also issued in print.
APA, Harvard, Vancouver, ISO, and other styles
4

Koneru, Avanthi. "Comparative Study of RSS-Based Collaborative Localization Methods in Wireless Sensor Networks." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5452/.

Full text
Abstract:
In this thesis two collaborative localization techniques are studied: multidimensional scaling (MDS) and maximum likelihood estimator (MLE). A synthesis of a new location estimation method through a serial integration of these two techniques, such that an estimate is first obtained using MDS and then MLE is employed to fine-tune the MDS solution, was the subject of this research using various simulation and experimental studies. In the simulations, important issues including the effects of sensor node density, reference node density and different deployment strategies of reference nodes were a
APA, Harvard, Vancouver, ISO, and other styles
5

Blanchard, Pierre. "Fast hierarchical algorithms for the low-rank approximation of matrices, with applications to materials physics, geostatistics and data analysis." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0016/document.

Full text
Abstract:
Les techniques avancées pour l’approximation de rang faible des matrices sont des outils de réduction de dimension fondamentaux pour un grand nombre de domaines du calcul scientifique. Les approches hiérarchiques comme les matrices H2, en particulier la méthode multipôle rapide (FMM), bénéficient de la structure de rang faible par bloc de certaines matrices pour réduire le coût de calcul de problèmes d’interactions à n-corps en O(n) opérations au lieu de O(n2). Afin de mieux traiter des noyaux d’interaction complexes de plusieurs natures, des formulations FMM dites ”kernel-independent” ont réc
APA, Harvard, Vancouver, ISO, and other styles
6

Bell, Paul W. "Statistical inference for multidimensional scaling." Thesis, University of Newcastle Upon Tyne, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327197.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

CUGNATA, FEDERICA. "Bayesian three-way multidimensional scaling." Doctoral thesis, Università Bocconi, 2012. https://hdl.handle.net/11565/4054285.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Jones, Synthia S. "Multidimensional scaling of user information satisfaction." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA277230.

Full text
Abstract:
Thesis (M.S. in Information Technology Management) Naval Postgraduate School, December 1993.<br>Thesis advisor(s): William J. Haga ; Kishore Sengupta. "December 1993." Bibliography: p. 108-110. Also available online.
APA, Harvard, Vancouver, ISO, and other styles
9

Ingram, Stephen F. "Multilevel multidimensional scaling on the GPU." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/409.

Full text
Abstract:
We present Glimmer, a new multilevel visualization algorithm for multidimensional scaling designed to exploit modern graphics processing unit (GPU) hard-ware. We also present GPU-SF, a parallel, force-based subsystem used by Glimmer. Glimmer organizes input into a hierarchy of levels and recursively applies GPU-SF to combine and refine the levels. The multilevel nature of the algorithm helps avoid local minima while the GPU parallelism improves speed of computation. We propose a robust termination condition for GPU-SF based on a filtered approximation of the normalized stress function. We demo
APA, Harvard, Vancouver, ISO, and other styles
10

McQuaid, Michael J., Thian-Huat Ong, Hsinchun Chen, and Jay F. Nunamaker. "Multidimensional scaling for group memory visualization." Elsevier, 1999. http://hdl.handle.net/10150/105458.

Full text
Abstract:
Artificial Intelligence Lab, Department of MIS, University of Arizona<br>We describe an attempt to overcome information overload through information visualization â in a particular domain, group memory. A brief review of information visualization is followed by a brief description of our methodology. We . discuss our system, which uses multidimensional scaling MDS to visualize relationships between documents, and which . we tested on 60 subjects, mostly students. We found three important and statistically significant differences between task performance on an MDS-generated display and
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "The method of multidimensional scaling"

1

Green, Paul E. Multidimensional scaling: Concepts and applications. Allyn and Bacon, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Tijssen, Robert J. W. Cartography of science: Scientometric mapping with multidimensional scaling methods. DSWO Press, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Tijssen, Robert J. W. Cartography of science: Scientometric mapping with multidimensional scaling methods. DSWO Press, Leiden University, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Kim, Seonghoon. IRT scale linking methods for mixed-format tests. ACT, Inc., 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Serra, Emilio. Vergleichende Evaluation multidimensionaler Skalierungsmodelle am Beispiel des Sensation-seeking-Motivs. Schwäbische Verlagsgesellschaft, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

A, Cox Michael A., ed. Multidimensional scaling. 2nd ed. Chapman & Hall/CRC, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Davison, Mark L. Multidimensional scaling. Krieger Pub. Co., 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Borg, Ingwer, Patrick J. F. Groenen, and Patrick Mair. Applied Multidimensional Scaling. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31848-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Borg, Ingwer, and Patrick Groenen. Modern Multidimensional Scaling. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2711-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

F, Groenen Patrick J., Mair Patrick, and SpringerLink (Online service), eds. Applied Multidimensional Scaling. Springer Berlin Heidelberg, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "The method of multidimensional scaling"

1

Manly, Bryan F. J., Jorge A. Navarro Alberto, and Ken Gerow. "Multidimensional Scaling." In Multivariate Statistical Methods, 5th ed. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003453482-11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mukherjee, S. P., Bikas K. Sinha, and Asis Kumar Chattopadhyay. "Multidimensional Scaling." In Statistical Methods in Social Science Research. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2146-7_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Ding, Cody S., and Se-Kang Kim. "Multidimensional Scaling." In The Reviewer’s Guide to Quantitative Methods in the Social Sciences. Routledge, 2018. http://dx.doi.org/10.4324/9781315755649-21.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Derndorfer, Eva, and Andreas Baierl. "Multidimensional scaling (MDS)." In Mathematical and Statistical Methods in Food Science and Technology. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118434635.ch10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Suerdem, Ahmet. "Multidimensional Scaling of Qualitative Data." In The Routledge Reviewer's Guide to Mixed Methods Analysis. Routledge, 2021. http://dx.doi.org/10.4324/9780203729434-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Trendafilov, Nickolay, and Michele Gallo. "Metric multidimensional scaling (MDS) and related methods." In Multivariate Data Analysis on Matrix Manifolds. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76974-1_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Azevedo, Filipe, and J. Tenreiro Machado. "Analysis of Electricity Market Prices Using Multidimensional Scaling." In Mathematical Methods in Engineering. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7183-3_28.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Heiser, Willem J. "Fitting Graphs and Trees with Multidimensional Scaling Methods." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Japan, 1998. http://dx.doi.org/10.1007/978-4-431-65950-1_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Miyazawa, Kazuya, and Mika Sato-Ilic. "A Classification Method Based on Ensemble Learning of Deep Learning and Multidimensional Scaling." In Intelligent Decision Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2765-1_32.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Groenen, Patrick J. F., Rudolf Mathar, and Javier Trejos. "Global Optimization Methods for Multidimensional Scaling Applied to Mobile Communications." In Data Analysis. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-58250-9_37.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "The method of multidimensional scaling"

1

Dennig, Frederik L., Lucas Joos, Patrick Paetzold, et al. "The Categorical Data Map: A Multidimensional Scaling-Based Approach." In 2024 IEEE Visualization in Data Science (VDS). IEEE, 2024. http://dx.doi.org/10.1109/vds63897.2024.00008.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Zhang, Che, and Peng Han. "Multidimensional Scaling and Subnet Stitching for Enhanced Cooperative Localization." In 2025 6th International Conference on Computer Science, Engineering, and Education (CSEE). IEEE, 2025. https://doi.org/10.1109/csee64583.2025.00015.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Basalaj, Wojciech. "Incremental multidimensional scaling method for database visualization." In Electronic Imaging '99, edited by Robert F. Erbacher, Philip C. Chen, and Craig M. Wittenbrink. SPIE, 1999. http://dx.doi.org/10.1117/12.342830.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Qin, Shuang, and Wei Huang. "Wireless sensor networks based multidimensional scaling position method." In 2014 5th IEEE International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2014. http://dx.doi.org/10.1109/icsess.2014.6933742.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

VARONECKAS, A., A. ŽILINSKAS, and J. ŽILINSKAS. "MULTIDIMENSIONAL SCALING USING PARALLEL GENETIC ALGORITHM." In Computer Aided Methods in Optimal Design and Operations. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812772954_0014.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Hernandez, Wilmar, Alfredo Mendez, Francisco Ballesteros, et al. "A method of image classification by using multidimensional scaling." In IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2019. http://dx.doi.org/10.1109/iecon.2019.8927296.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Mogi, Hiromu, and Y. h. Taguchi. "Protein binding prediction using non-metric multidimensional scaling method." In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2011. http://dx.doi.org/10.1109/bibmw.2011.6112516.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

ŽILINSKAS, J. "MULTIDIMENSIONAL SCALING IN PROTEIN AND PHARMACOLOGICAL SCIENCES." In Computer Aided Methods in Optimal Design and Operations. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812772954_0015.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Grishin, Ilya, Van Dai Pham, Darina Okuneva, and Ruslan Kirichek. "Search for Coordinates of WSN Nodes using Multidimensional Scaling Method." In 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2020. http://dx.doi.org/10.1109/icumt51630.2020.9222442.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Grishin, Ilya, Van Dai Pham, Darina Okuneva, Ruslan Kirichek, and Lyudmila Myrova. "Applying Multidimensional Scaling Method to Determine Spatial Coordinates of WSN Nodes." In ICFNDS '20: The 4th International Conference on Future Networks and Distributed Systems. ACM, 2020. http://dx.doi.org/10.1145/3440749.3442645.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "The method of multidimensional scaling"

1

Kearsley, Anthony J., Richard A. Tapia, and Michael W. Trosset. The Solution of the Metric STRESS and SSTRESS Problems in Multidimensional Scaling Using Newton's Method. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada445621.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Whitecloud, Simone, Kevin Philley, J. Minkin, et al. Assessing the Validity and Accuracy of Wetland Indicator Status Ratings for Eight Species in Alaska Subregions. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49509.

Full text
Abstract:
Preexisting ecological information and plant species occurrence data were used to determine the accuracy and validity of the present regional and subregional wetland indicator status ratings for eight species: Andromeda polifolia, Arctous rubra, Carex canescens, Rhododendron tomentosum, Rubus arcticus, Salix arctica, Salix pulchra, and Viola palustris. Technical documentation was developed to either (1) support the current National Wetland Plant List (NWPL) subregion boundaries and wetland indicator status ratings for the NWPL Alaska Region or (2) support a proposed change to the subregions or
APA, Harvard, Vancouver, ISO, and other styles
3

Cvetkovski, Andrej, and Mark Crovella. Multidimensional Scaling in the Poincare Disk. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada585960.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Oh, Man-Suk, and Adrian E. Raftery. Bayesian Multidimensional Scaling and Choice of Dimension. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada458817.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Zerkle, M. L. Theory and application of deterministic multidimensional pointwise energy lattice physics method. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/754896.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Demkowicz, L., J. Gopalakrishnan, I. Muga, and J. Zitelli. Wavenumber Explicit Analysis for a DPG Method for the Multidimensional Helmholtz Equation. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada555342.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Wang, Lin-Wang, Zhengji Zhao, and Juan Meza. Linear Scaling 3D Fragment Method for Large-Scale ElectronicStructure Calculations. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/918121.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Koven, Charles, R. Knox, R. Fisher, et al. Modular hybrid modeling to increase efficiency, explore structural uncertainty, andallow multidimensional complexity scaling in land surface models. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769750.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Ishii, M., G. Zhang, and H. C. No. Stepwise integral scaling method and its application to severe accident phenomena. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10190224.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Dantzig, George B., and Yinyu Ye. A Build-Up Interior Method for Linear Programming: Affine Scaling Form. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada221802.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'The method of multidimensional scaling' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography