Relevant bibliographies by topics / Matrix of evaluation

Contents

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

Academic literature on the topic 'Matrix of evaluation'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Matrix of evaluation"

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Sastre, Jorge, and Javier Ibáñez. "Efficient Evaluation of Matrix Polynomials beyond the Paterson–Stockmeyer Method." Mathematics 9, no. 14 (July 7, 2021): 1600. http://dx.doi.org/10.3390/math9141600.

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Recently, two general methods for evaluating matrix polynomials requiring one matrix product less than the Paterson–Stockmeyer method were proposed, where the cost of evaluating a matrix polynomial is given asymptotically by the total number of matrix product evaluations. An analysis of the stability of those methods was given and the methods have been applied to Taylor-based implementations for computing the exponential, the cosine and the hyperbolic tangent matrix functions. Moreover, a particular example for the evaluation of the matrix exponential Taylor approximation of degree 15 requiring four matrix products was given, whereas the maximum polynomial degree available using Paterson–Stockmeyer method with four matrix products is 9. Based on this example, a new family of methods for evaluating matrix polynomials more efficiently than the Paterson–Stockmeyer method was proposed, having the potential to achieve a much higher efficiency, i.e., requiring less matrix products for evaluating a matrix polynomial of certain degree, or increasing the available degree for the same cost. However, the difficulty of these family of methods lies in the calculation of the coefficients involved for the evaluation of general matrix polynomials and approximations. In this paper, we provide a general matrix polynomial evaluation method for evaluating matrix polynomials requiring two matrix products less than the Paterson-Stockmeyer method for degrees higher than 30. Moreover, we provide general methods for evaluating matrix polynomial approximations of degrees 15 and 21 with four and five matrix product evaluations, respectively, whereas the maximum available degrees for the same cost with the Paterson–Stockmeyer method are 9 and 12, respectively. Finally, practical examples for evaluating Taylor approximations of the matrix cosine and the matrix logarithm accurately and efficiently with these new methods are given.
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Iche, Ghanshyam Ramesh. "Formulation and Evaluation of Aceclofenac Matrix Tablet." International Journal of Scientific Research 3, no. 1 (June 1, 2012): 410–12. http://dx.doi.org/10.15373/22778179/jan2014/142.

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Capps, III, Charles J., and Michael D. Glissmeyer. "Extending The Competitive Profile Matrix Using Internal Factor Evaluation And External Factor Evaluation Matrix Concepts." Journal of Applied Business Research (JABR) 28, no. 5 (August 21, 2012): 1059. http://dx.doi.org/10.19030/jabr.v28i5.7245.

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Internal Factor Evaluation and External Factor Evaluation matrices allow an organization to visualize their strengths, weaknesses, opportunities, and threats while a Competitive Profile Matrix utilizes critical success factors to allow an organization to compare itself to other competitors. The authors wondered if substituting basic internal strengths and weaknesses categories, and external opportunities and threats classifications for the conventional CSFs in a forced ranking method could extend the Competitive Profile Matrix to allow additional strategic understanding. The goal of extending the Competitive Profile Matrix using the forced ranking of important organizational factors when evaluating an organizations relative competitive position against major competitors was successfully realized. An External Competitive Profile Matrix (ECPM) and an Internal Competitive Profile Matrix (ICPM) better draw awareness to internal and external categories that need an organizations attention.
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Sahu, Mithlesh, Mithun Bhowmick, and Jagdish Rathi. "Design and evaluation of Matrix Transdermal therapeutic system of Repaglinide." International Journal of Research and Development in Pharmacy & Life Sciences 06, no. 04 (July 2017): 2697–705. http://dx.doi.org/10.21276/ijrdpl.2278-0238.2017.6(4).2697-2705.

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Sastre, J. "Efficient evaluation of matrix polynomials." Linear Algebra and its Applications 539 (February 2018): 229–50. http://dx.doi.org/10.1016/j.laa.2017.11.010.

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Campbell, E., J. Pierce, S. Endicott, and S. Shapiro. "Evaluation of Extracellular Matrix Turnover." Chest 99, no. 3 (March 1991): 49S. http://dx.doi.org/10.1378/chest.99.3_supplement.49s.

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Wituła, Roman, Damian Słota, Jarosław Matlak, Agata Chmielowska, and Michał Różański. "Matrix methods in evaluation of integrals." Journal of Applied Mathematics and Computational Mechanics 19, no. 1 (March 2020): 103–12. http://dx.doi.org/10.17512/jamcm.2020.1.09.

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Nguyen, Canh Hao, and Tu Bao Ho. "An efficient kernel matrix evaluation measure." Pattern Recognition 41, no. 11 (November 2008): 3366–72. http://dx.doi.org/10.1016/j.patcog.2008.04.005.

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Urbanowicz, Krzysztof, Peter Richmond, and Janusz A. Hołyst. "Risk evaluation with enhanced covariance matrix." Physica A: Statistical Mechanics and its Applications 384, no. 2 (October 2007): 468–74. http://dx.doi.org/10.1016/j.physa.2007.05.034.

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Pack, Russell T., and John S. Dahler. "Asymptotic evaluation of WKB matrix elements." International Journal of Quantum Chemistry 3, S3A (June 18, 2009): 329. http://dx.doi.org/10.1002/qua.560030736.

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Dissertations / Theses on the topic "Matrix of evaluation"

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Cliett, Terra N. "A Comparative Evaluation of Matrix Training Arrangements." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984242/.

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A common goal of instructional techniques is to teach skills effectively and efficiently. Matrix training techniques are both effective and efficient as they allow for the emergence of untrained responding to novel stimulus arrangements, a phenomenon known as recombinative generalization. However, it is unclear which type of matrix arrangement best promotes recombinative generalization. The current study compared two common matrix training approaches, an overlapping (OV) design and a non-overlapping (NOV) design, with respect to arranging relations targeted for training. We conducted a replication evaluation of a Wilshire and Toussaint study, and taught two typically-developing preschoolers compound object-action labels in Spanish and used either an OV or NOV matrix training design. Results from both studies demonstrated the participant trained with an OV design produced recombinative generalization and participants trained with a NOV design produced significantly low levels of emergence or none at all. These results suggest that an OV matrix design facilitates recombinative generalization more effectively than a NOV design. Implications for instructional arrangements are discussed.
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Schmelzer, Thomas. "The fast evaluation of matrix functions for exponential integrators." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670097.

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MOHANTY, SAMEER. "DECISION MATRIX FOR FUNCTIONAL EVALUATION OF PROJECT MANAGEMENT AUTOMATION." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1152568084.

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Park, Joon-Soo. "Evaluation Methods for Fracture Resistance of Ceramic Matrix Composites." Kyoto University, 2003. http://hdl.handle.net/2433/148648.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(エネルギー科学)
甲第10330号
エネ博第66号
新制||エネ||20(附属図書館)
UT51-2003-H751
京都大学大学院エネルギー科学研究科エネルギー応用科学専攻
(主査)教授 香山 晃, 教授 石井 隆次, 教授 落合 庄治郎
学位規則第4条第1項該当
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Contreras, Gerardo Plata. "Evaluation of Stress Intensity Factors in Metal Matrix Composites." Thesis, Oxford Brookes University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.490495.

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The drive of the aerospace industry to use better materials to save weight and increase the performance of the components has been the principal motive to create new materials like Titanium Metal Matrix Composites (Ti-MMC). The Ti-MMCs were designed to combine high stiffness with low weight. Most aerospace components are exposed to fatigue loads during their operation life, hence extensive research has been carried out to investigate the behaviour of Ti-MMC under fatigue loading. During fatigue of Ti-MMC in four point bend specimens, two cracks grow quazisymmetrical at an angle relative to the normal direction of the notch. It is clear therefore that Mode I and Mode II are present in the specimen. Solutions for predicting the Stress Intensity Factor (SIF) for TI-MMC under these load conditions have not been carried out before and presents difficulties, both analytically and experimentally. Some experimental technique like Stereo-Imaging Technique (Sin, Scanning electron microscope (SEM), Laser interferometry displacement gage system and mechanical extensometer have been used to calculate the SIF in Ti-MMC specimens by measuring the Crack Open Displacement COD during the fatigue crack propagation, but these technique have limited measuring capabilities. However, the Moire interferometry technique gives very sensitive and detailed data, due to its ability to measure the full field displacements near the crack tip. Moire Interferometry was applied in this thesis to calculate KI and KII using different analytical methods, for fatigue crack growth in unidirectional Metal Matrix Composite. The composite considered was Textron SCS-6ffi-6-4 and the bend was carried out in four point bending at room temperature. Zero load ratio and four different load ranges were considered. Two finite element models were also developed to predict the crack path direction and to calculate the SIFs. The results obtained from FE models and from the experimental technique show good correlation. The experimental results though show that the SIFs do not reduce in a linear manner but have several stages of crack retardation which is believed to be due to fibres becoming active in bridging behind the crack tip. The results presented are unique in that very little data on SIFs in Ti-MMC material is available and the effect of off-axis cracks on the KI and KII SIFs has not been addressed until now.
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Scholtz, Reginald. "The manufacturing performance measurement matrix model." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/969.

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Thesis (MBA (Graduate School of Business))--Stellenbosch University, 2008.
ENGLISH ABSTRACT: Globalisation, constant innovations and well-informed customers have made modern business environments dynamic and complex. Organisations, with their ever-changing business models, are striving to improve the quality of their products and services. Congruently, several management theories have evolved. Total Quality Management (TQM),Just in Time (JIT), Benchmarking, Lean Management, Balanced Scorecard and Six Sigma are some of the more well known. Each movement with its own life span, its share of popularity and level of acceptance has the same basic goal – improvement in quality by measuring performance. Recent years have seen an upsurge in the approaches and contributions to the field of performance measurement. Are these management theories just a flavour of the month or do they add value. The object of this study is to provide industry specific manufacturing business with a Manufacturing Performance Measurement Matrix Model, which can be used over time to measure improvement and serve as a basis for Knowledge Management.
AFRIKAANSE OPSOMMING: Globalisering, konstante inbring van veranderinge en goed ingeligte kliënte het die moderne besigheidsomgewing dinamies en kompleks gemaak. Organisasies, met hulle ewig veranderende besigheidsmodelle, streef daarna om die kwaliteit van hulle produkte en dienslewering te verbeter. Verskeie bestuursteorieë het as gevolg hiervan ontwikkel. Die mees bekende bestuursteorieë is onder andere: Total Quality Management (TQM), Just in Time (JIT), Benchmarking, Lean Management, Balanced Scorecard en Six Sigma. Elkeen van hierdie planne, met sy eie leeftyd, porsie van die gewildheid en vlak van aanvaarding, het dieselfde basiese doel – verbetering van kwaliteit deur die meet van prestasie. Onlangse jare het ‘n opvlam gesien in die benaderings en bydraes tot die veld van prestasiemeting. Is hierdie bestuursteorieë net ‘n nuutjie of is hulle waardevol vir die besigheidswêreld? Die doel van hierdie studie is om industrie spesifieke vervaardigingsbesighede met ‘n Vervaardigings Prestasiemetings Matriks Model te voorsien wat deur die verloop van tyd verbeterings kan meet en kan dien as ‘n basis vir die bestuur van kundigheid.
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Wallstedt, Maria. "Evaluation of blood interactions with a drug loaded protein matrix." Thesis, Linköpings universitet, Tillämpad Fysik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-68306.

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Many things might happen in the body when a titanium implant is inserted into bone. Examples are activation of the immune system and imbalance between bone formation and bone resorption, which might lead to damaged bone around the implant and at worse, loosening of the implant. Bisphosphonates, BP’s, is a class of drugs that is able to decrease the osteoclast (bone resorption cell) activity and thereby strengthen the bone. FibMat2.0 is a fibrinogen matrix and consists of a thin protein layer which can be applied on an implant and act as a local drug delivery system. The work in this thesis was divided into two parts where aim of the first part was to study FibMat2.0 with integrated BP’s, and their effect in the presence of blood. The aim for the second part was to determine whether it was possible to incorporate antithrombotic drugs into the fibrinogen matrix. No detection method for the amount of drugs incorporated into the fibrinogen matrix was used but the fact that the drugs gave effect was verifying that it is possible to integrate other drugs than BP’s into FibMat2.0. Methods that have been used in the experiments in presence of blood are imaging of coagulation, fluorescence microscopy and cone-and-plate. For the first part, the results showed that surfaces incubated with fibrinogen and fibrinogen with integrated BP’s act alike in regard to coagulation and platelet adhesion. Compared to titanium, which is known to be a biocompatible material, the surfaces with fibrinogen and fibrinogen with BP’s behave similar in regard to platelet adhesion. When it comes to coagulation, the surfaces coated with fibrinogen with or without an addition of BP’s have shown a longer coagulation time compared to the clean titanium surface. For the second part, some conclusions have been drawn according to the results. Heparin and hirudin have shown anticoagulant effects when integrated in the matrix. The platelet inhibitor cangrelor seemed to have better effect when added in blood and incubated compared to incubation with the platelet inhibitor on the surface before incubation in blood. Finally, when combining heparin and cangrelor, very clear differences in regard to formation of fibrin network could be seen. It seems promising to be able to load different kind of drugs in FibMat2.0.
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Jere, Deepali G. Cooper Lyndon F. "Evaluation of a biopolymer matrix for cell based bone repair." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,1609.

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Thesis (M.S.)--University of North Carolina at Chapel Hill, 2008.
Title from electronic title page (viewed Sep. 16, 2008). "... in partial fulfillment of the requirements for the degree of Master of Science in the Department of Prosthodontics School of Dentistry." Discipline: Prosthodontics; Department/School: Dentistry.
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Trandel, Barbara Dawn. "Nondestructive evaluation of a high temperature ceramic matrix composite material." Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-01312009-063125/.

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Molignano, Jennifer Elizabeth. "Evaluation of a Novel Electrospun Polymer Dermal Regeneration Composite Matrix." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-theses/1324.

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Bioengineered skin is a promising treatment for chronic skin wounds because of its ability to promptly promote wound healing at the injury site and to restore the skin’s epidermal and dermal structures and functions. Despite some level of clinical success, commercially available bioengineered skin substitutes are still limited by a high incidence of infection, a lack of mechanical integrity, and a slow rate of tissue ingrowth from the surrounding wound margin. To address these challenges, we propose to engineer novel polymer composite matrices for dermal regeneration. These matrices consist of two different electrospun polymer layers which create a composite matrix made up of a highly porous three-dimensional fibrous network. Each composite matrix contains a biodegradable electrospun “dermal” layer which acts as a scaffold for dermal cell ingrowth and tissue regeneration and a non-degradable electrospun “epidermal” layer that serves as a provisional barrier to protect the wound from environmental insult. To evaluate the success of our designs, we performed quantitative analyses of the physical properties of our electrospun scaffolds including fiber diameter and angle analyses and mechanical properties. We found our electrospun scaffolds are comprised of a random network of fibers ranging from approximately 0.2 – 5µm in diameter. They exhibit several mechanical properties that are similar to those measured in native skin tissue, including tangent elastic modulus and strain at failure. We have also found the proposed nanofibrous scaffolds to be capable of supporting normal human fibroblast attachment and migration. Our scaffolds show similar attachment to tissue culture polystyrene controls and better attachment than collagen-GAG sponge controls. The dermal layer of our scaffolds show fibroblast outgrowth rates between 185 - 206µm/day, which is similar to rates observed by others in collagen-GAG sponges and wounds. The promising findings from these in vitro studies warrant that our novel electrospun dermal regeneration matrix be further developed.
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Books on the topic "Matrix of evaluation"

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McIvor, Gill. Evaluation of the Matrix Project. Edinburgh: Scottish Executive Education Department, 2002.

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Dacre, Jane. The clinical skills matrix. Oxford: Radcliffe Medical Press, 1996.

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Pearce, David Henry. Fabrication and evaluation of an oxide-oxide ceramic matrix composite. Birmingham: University of Birmingham, 1996.

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Karbhari, Vistasp M. Non-destructive evaluation of polymer matrix composites: Techniques and applications. Cambridge, UK: Woodhead Pub., 2013.

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Generazio, Edward R. Theory and experimental technique for nondestructive evaluation of ceramic composites. [Washington, D.C.]: National Aeronautics and Space Administration, 1990.

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Pickens, Joseph R. Evaluation of the microstructure of Al-Cu=Li-Ag-Mg Weldalite alloys. Hampton, Va: Langley Research Center, 1991.

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Monke, Eric A. The policy analysis matrix for agricultural development. Ithaca: Cornell University Press, 1989.

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Maggie, Nicol, ed. Clinical skills: The learning matrix for students of medicine and nursing. Oxford: Radcliffe Medical Press, 1996.

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Umari, Amjad M. J. Evaluation of the matrix exponential for use in ground-water-flow and solute-transport simulations: Theoretical framework. Albuquerque, N.M: U.S. Dept. of the Interior, Geological Survey, 1986.

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Pearson, Scott R. Agricultural policy in Kenya: Applications of the policy analysis matrix. Ithaca, N.Y: Cornell University Press, 1995.

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Book chapters on the topic "Matrix of evaluation"

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Surján, Péter R. "Evaluation of Matrix Elements." In Second Quantized Approach to Quantum Chemistry, 33–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74755-7_5.

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Krishnamurthy, E. V. "Fourier Evaluation and Interpolation." In Error-Free Polynomial Matrix Computations, 62–80. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4612-5118-7_3.

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Krishnamurthy, E. V. "Polynomial Matrix—Evaluation, Interpolation, Inversion." In Error-Free Polynomial Matrix Computations, 38–61. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4612-5118-7_2.

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Kastana, Pinelopi, Fatema Tuz Zahra, Despoina Ntenekou, Stamatiki Katraki-Pavlou, Dimitris Beis, Michail S. Lionakis, Constantinos M. Mikelis, and Evangelia Papadimitriou. "Matrigel Plug Assay for In Vivo Evaluation of Angiogenesis." In The Extracellular Matrix, 219–32. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9133-4_18.

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Viennet, Céline, and Patrice Muret. "Fibroblast Evaluation: Extracellular Matrix Synthesis." In Measuring the Skin, 1–5. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26594-0_124-1.

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Hoffman, Niv, Oded Schwartz, and Sivan Toledo. "Efficient Evaluation of Matrix Polynomials." In Parallel Processing and Applied Mathematics, 24–35. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78024-5_3.

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Viennet, Céline, and Patrice Muret. "Fibroblast Evaluation: Extracellular Matrix Synthesis." In Agache's Measuring the Skin, 897–901. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32383-1_124.

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Kasperkiewicz, Janusz, and Åke Skarendahl. "Fracture Resistance Evaluation of Steel Fibre Concrete." In Brittle Matrix Composites 2, 619–28. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2544-1_65.

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Hazra, Bodhisatwa, David A. Wood, Devleena Mani, Pradeep K. Singh, and Ashok K. Singh. "Matrix Retention of Hydrocarbons." In Evaluation of Shale Source Rocks and Reservoirs, 51–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13042-8_4.

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Seo, Jong Wan, and Myung Chul Shin. "Fast and Accurate Color Space Conversion Matrix." In Advanced Nondestructive Evaluation I, 1297–300. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-412-x.1297.

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Conference papers on the topic "Matrix of evaluation"

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Al Hammad, Mansour A., and Yehya M. Altameimi. "Cement Matrix Evaluation." In IADC/SPE Asia Pacific Drilling Technology. Society of Petroleum Engineers, 2002. http://dx.doi.org/10.2118/77213-ms.

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Doroudi, Shayan, Vincent Aleven, and Emma Brunskill. "Robust Evaluation Matrix." In L@S 2017: Fourth (2017) ACM Conference on Learning @ Scale. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3051457.3051463.

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Jain-Mendon, Shweta, and Ron Sass. "Performance evaluation of Sparse Matrix-Matrix Multiplication." In 2013 23rd International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2013. http://dx.doi.org/10.1109/fpl.2013.6645561.

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Smith, Robert A. "High Frequency Ultrasonic NDE of Titanium Metal Matrix Composites." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2006. http://dx.doi.org/10.1063/1.2184639.

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Zhao, X. "Non-Destructive Inspection of Metal Matrix Composites Using Guided Waves." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2004. http://dx.doi.org/10.1063/1.1711716.

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Ishiguro, Fumiya, Takahiro Katagiri, Satoshi Ohshima, and Toru Nagai. "Performance Evaluation of Accurate Matrix-Matrix Multiplication on GPU Using Sparse Matrix Multiplications." In 2020 Eighth International Symposium on Computing and Networking Workshops (CANDARW). IEEE, 2020. http://dx.doi.org/10.1109/candarw51189.2020.00044.

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Ptchelintsev, A. "Ultrasonic 2D matrix PVDF transducer." In 26th Annual review of progress in quantitative nondestrictive evaluation. AIP, 2000. http://dx.doi.org/10.1063/1.1306145.

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Sinha, Diwakar. "Relationship Matrix: Discovering New Business in Difficult Times." In SPE Hydrocarbon Economics and Evaluation Symposium. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/127833-ms.

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Xu, W. J. "A matrix method for numerical computation of fields radiated and received by acoustic transducers." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2002. http://dx.doi.org/10.1063/1.1472879.

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Nagafuchi, S., T. Abe, and T. Higuchi. "Loss evaluation for ARCP Matrix Converter." In 2013 IEEE 10th International Conference on Power Electronics and Drive Systems (PEDS 2013). IEEE, 2013. http://dx.doi.org/10.1109/peds.2013.6527091.

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Reports on the topic "Matrix of evaluation"

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Marshak, David. Portal Platform Evaluation Matrix. Boston, MA: Patricia Seybold Group, January 2003. http://dx.doi.org/10.1571/em1-17-03cc.

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Bock, Geoffrey. Content Management Evaluation Matrix. Boston, MA: Patricia Seybold Group, August 2004. http://dx.doi.org/10.1571/em8-31-04cc.

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Lees, Matthew. Online Community Platform Evaluation Matrix. Boston, MA: Patricia Seybold Group, January 2008. http://dx.doi.org/10.1571/em01-17-08cc.

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Aldrich, Susan. Product Search Solution Evaluation Matrix. Boston, MA: Patricia Seybold Group, January 2006. http://dx.doi.org/10.1571/em1-19-06cc.

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Marshak, David. Online Meeting Services Evaluation Matrix. Boston, MA: Patricia Seybold Group, October 2004. http://dx.doi.org/10.1571/em10-21-04cc.

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Aldrich, Susan. Product Search Solution Evaluation Matrix. Boston, MA: Patricia Seybold Group, December 2003. http://dx.doi.org/10.1571/em12-11-03cc.

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Aldrich, Susan. Enterprise Search Solution Evaluation Matrix. Boston, MA: Patricia Seybold Group, April 2005. http://dx.doi.org/10.1571/em4-28-05cc.

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Kramer, Mitchell. Customer Portal Platforms Evaluation Matrix. Boston, MA: Patricia Seybold Group, May 2005. http://dx.doi.org/10.1571/em5-19-05cc.

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Michelson, Brenda. Enterprise Service Bus Evaluation Matrix. Boston, MA: Patricia Seybold Group, August 2005. http://dx.doi.org/10.1571/em8-11-05cc.

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10

De Rosset, William S. Nondestructive Evaluation of a Metal Matrix Composite. Fort Belvoir, VA: Defense Technical Information Center, December 2003. http://dx.doi.org/10.21236/ada419365.

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