Relevant bibliographies by topics / Vector analysis

Contents

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

Academic literature on the topic 'Vector analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Vector analysis"

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MORARIU, Gheorghe, and Otilia CROITORU. "SECONDARY APPLICATIONS OF VECTOR ANALYSIS." Review of the Air Force Academy 13, no. 3 (2015): 63–70. http://dx.doi.org/10.19062/1842-9238.2015.13.3.11.

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Faris, William G., and Robert S. Maier. "Probabilistic analysis of a learning matrix." Advances in Applied Probability 20, no. 4 (1988): 695–705. http://dx.doi.org/10.2307/1427355.

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A learning matrix is defined by a set of input and output pattern vectors. The entries in these vectors are zeros and ones. The matrix is the maximum of the outer products of the input and output pattern vectors. The entries in the matrix are also zeros and ones. The product of this matrix with a selected input pattern vector defines an activity vector. It is shown that when the patterns are taken to be random, then there are central limit and large deviation theorems for the activity vector. They give conditions for when the activity vector may be used to reconstruct the output pattern vector
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Faris, William G., and Robert S. Maier. "Probabilistic analysis of a learning matrix." Advances in Applied Probability 20, no. 04 (1988): 695–705. http://dx.doi.org/10.1017/s0001867800018322.

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A learning matrix is defined by a set of input and output pattern vectors. The entries in these vectors are zeros and ones. The matrix is the maximum of the outer products of the input and output pattern vectors. The entries in the matrix are also zeros and ones. The product of this matrix with a selected input pattern vector defines an activity vector. It is shown that when the patterns are taken to be random, then there are central limit and large deviation theorems for the activity vector. They give conditions for when the activity vector may be used to reconstruct the output pattern vector
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Porter, Tim, and K. Janich. "Vector Analysis." Mathematical Gazette 86, no. 506 (2002): 380. http://dx.doi.org/10.2307/3621920.

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Parden, Patrick J. "Vector Analysis." Journal of Cataract & Refractive Surgery 21, no. 1 (1995): 3. http://dx.doi.org/10.1016/s0886-3350(13)80462-2.

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Schiller, Gerard M., and Debra S. Guthrie. "Vector Analysis." Journal of Cataract & Refractive Surgery 20, no. 3 (1994): 366. http://dx.doi.org/10.1016/s0886-3350(13)80600-1.

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Shanmugapriya, P., and Y. Venkataramani. "Analysis of Speaker Verification System Using Support Vector Machine." JOURNAL OF ADVANCES IN CHEMISTRY 13, no. 10 (2017): 6531–42. http://dx.doi.org/10.24297/jac.v13i10.5839.

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The integration of GMM- super vector and Support Vector Machine (SVM) has become one of most popular strategy in text-independent speaker verification system. This paper describes the application of Fuzzy Support Vector Machine (FSVM) for classification of speakers using GMM-super vectors. Super vectors are formed by stacking the mean vectors of adapted GMMs from UBM using maximum a posteriori (MAP). GMM super vectors characterize speaker’s acoustic characteristics which are used for developing a speaker dependent fuzzy SVM model. Introducing fuzzy theory in support vector machine yields be
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Xu, Jingxiu, and Albert A. Vinluan. "Research on Emotional Analysis of Online Book Reviews Based on Word2Vec Method." Frontiers in Business, Economics and Management 11, no. 1 (2023): 224–27. http://dx.doi.org/10.54097/fbem.v11i1.12038.

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At present, emotional analysis in the field of natural language processing is gradually becoming a popular research direction on social media. With the rise of artificial intelligence technology and deep learning algorithms, word vector representation methods based on neural networks have emerged and emerged in the field of sentiment analysis. According to the current research results of experts, the Word2Vec model has become the mainstream word vector representation method. The algorithm model is based on continuous optimization and iteration of random initialization word vectors, ultimately
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Balandin, A. L. "Vector spherical harmonics in 3-D vector tomography." Numerical Analysis and Applications 2, no. 2 (2009): 106–17. http://dx.doi.org/10.1134/s1995423909020025.

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Perko, L. M. "Rotated Vector Fields." Journal of Differential Equations 103, no. 1 (1993): 127–45. http://dx.doi.org/10.1006/jdeq.1993.1044.

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Dissertations / Theses on the topic "Vector analysis"

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Wu, Zhili. "Regularization methods for support vector machines." HKBU Institutional Repository, 2008. http://repository.hkbu.edu.hk/etd_ra/912.

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Polito, Vito. "Vector autoregressive analysis of macroeconomic policy." Thesis, University of York, 2007. http://etheses.whiterose.ac.uk/11068/.

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Claesson, Kenji. "Implementation and Validation of Independent Vector Analysis." Thesis, Umeå University, Physics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-32306.

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<p>This Master’s Thesis was part of the project called Multimodalanalysis at the Depart-ment of Biomedical Engineering and Informatics at the Ume˚ University Hospital inUme˚ Sweden. The aim of the project is to develop multivariate measurement anda,analysis methods of the skeletal muscle physiology. One of the methods used to scanthe muscle is functional ultrasound. In a study performed by the project group datawas aquired, where test subjects were instructed to follow a certain exercise scheme,which was measured. Since there currently is no superior method to analyze the result-ing data (in f
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Dussault, Serge. "Nonlinear seismic analysis using vector superposition methods." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=60575.

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This thesis presents two algorithms to solve nonlinear seismic problems in generalized coordinates, one that uses a set of vectors computed from initial properties, the Pseudo-Force Method (PFM), and another that continuously updates the vector basis to represent the nonlinear behaviour, the Tangent Spectrum Method (TSM). Both methods can use either exact eigenvectors or load dependent vectors as vector basis. Parametric analyses are carried out on a series of multistory buildings idealized as shear beam structures with bilinear hysteretic behaviour. The effects of the truncation of the vector
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Sugita, Katsuhiro. "Bayesian analysis of cointegrated vector autoregressive models." Thesis, University of Warwick, 2004. http://wrap.warwick.ac.uk/66201/.

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This thesis concerns econometric time series modelling of cointegrated multivariate systems using a Bayesian approach. The Bayesian approach has become increasingly attractive among researchers in the fields such as biology, though still only a relatively few econometricians use these techniques. Rather than theoretical aspects of Bayesian statistics or computational techniques, we illustrate how the Bayesian methods can be useful in analysing non-linear cointegration models. In the last ten years, non-linear time series models, such as regime switching models, have become popular among applie
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Wen, Tong 1970. "Support Vector Machine algorithms : analysis and applications." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8404.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2002.<br>Includes bibliographical references (p. 89-97).<br>Support Vector Machines (SVMs) have attracted recent attention as a learning technique to attack classification problems. The goal of my thesis work is to improve computational algorithms as well as the mathematical understanding of SVMs, so that they can be easily applied to real problems. SVMs solve classification problems by learning from training examples. From the geometry, it is easy to formulate the finding of SVM classifiers as a linearly constrained
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Omoefe, Idisi David, and Andrew Forbes. "Creation and detection of Vector Bessel Beams." Thesis, University of Fort Hare, 2016. http://hdl.handle.net/10353/1785.

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Bessel beams are optical fields which falls into the category of non-diffracting beams. Vector Bessel beams are vector beams possessing cylindrical symmetry. Cylindrically symmetric beams tend to have a tight focal point during propagation. The tight focal beam nature of vector Bessel beams makes them a good potential in various facets of science such as biological optical trapping, wireless communications, remote sensing, microscopy etc. In this research work, vector Bessel beams were generated using the phase of an Axicon that was encoded into a spatial light modulator. Firstly, scalar Besse
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Ali, Khan Syed Irteza. "Classification using residual vector quantization." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50300.

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Residual vector quantization (RVQ) is a 1-nearest neighbor (1-NN) type of technique. RVQ is a multi-stage implementation of regular vector quantization. An input is successively quantized to the nearest codevector in each stage codebook. In classification, nearest neighbor techniques are very attractive since these techniques very accurately model the ideal Bayes class boundaries. However, nearest neighbor classification techniques require a large size of representative dataset. Since in such techniques a test input is assigned a class membership after an exhaustive search the entire training
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Fraser, William Stuart Alistair. "An analysis of long memory vector time series." Thesis, University of Warwick, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389715.

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Poulsen, Andrew Joseph. "Robust vector sensor array processing and performance analysis." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/47751.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.<br>Includes bibliographical references (p. 179-186).<br>Acoustic vector sensors, which measure scalar pressure along with particle motion (a vector quantity), feature many advantages over omnidirectional hydrophone sensors. A sizable literature exists on the theory of processing signals for many vector sensor array applications. In practice, however, mismatch (the difference between the assumed and actual system configurations), several noise processes and low sample support can
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Books on the topic "Vector analysis"

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Jänich, Klaus. Vector Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3478-2.

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Louis, Brand. Vector analysis. Dover Publications, 2006.

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Jänich, Klaus. Vector Analysis. Springer New York, 2001.

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J, Booth Dexter, ed. Vector analysis. Industrial Press, 2005.

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Galbis, Antonio, and Manuel Maestre. Vector Analysis Versus Vector Calculus. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2200-6.

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Galbis, Antonio. Vector Analysis Versus Vector Calculus. Springer US, 2012.

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Rahman, M. Applied vector analysis. 2nd ed. CRC Press, 2008.

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Eisenman, Richard. Matrix vector analysis. Dover Publications, 2005.

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Barr, Thomas H. Vector calculus. 2nd ed. Prentice Hall, 2001.

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Colley, Susan Jane. Vector calculus. 3rd ed. Pearson Prentice Hall, 2006.

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Book chapters on the topic "Vector analysis"

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Galbis, Antonio, and Manuel Maestre. "Vectors and Vector Fields." In Vector Analysis Versus Vector Calculus. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2200-6_1.

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Jänich, Klaus. "Differentiable Manifolds." In Vector Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3478-2_1.

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Jänich, Klaus. "Classical Vector Analysis." In Vector Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3478-2_10.

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Jänich, Klaus. "De Rham Cohomology." In Vector Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3478-2_11.

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Jänich, Klaus. "Differential Forms on Riemannian Manifolds." In Vector Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3478-2_12.

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Jänich, Klaus. "Calculations in Coordinates." In Vector Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3478-2_13.

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Jänich, Klaus. "Answers to the Test Questions." In Vector Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3478-2_14.

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Jänich, Klaus. "The Tangent Space." In Vector Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3478-2_2.

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Jänich, Klaus. "Differential Forms." In Vector Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3478-2_3.

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Jänich, Klaus. "The Concept of Orientation." In Vector Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3478-2_4.

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Conference papers on the topic "Vector analysis"

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Andreeva, I. A., and I. V. Bryantseva. "FACTOR ANALYSIS OF INVESTMENT IN FIXED CAPITAL." In RUSSIA AND CHINA: A VECTOR OF DEVELOPMENT. Amur State University, 2020. http://dx.doi.org/10.22250/rc.2019.2.30.

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Xu, Haixiang, Guangxi Zhu, Jinwen Tian, Xiang Zhang, and Fuyuan Peng. "Image segmentation using support vector machine." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.655253.

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Venkataramanujam, Venkatesh, and Pierre Larochelle. "Analysis of Planar Reconfigurable Motion Generators." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34242.

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This article presents the kinematic analysis of a new class of mechanical devices called planar Reconfigurable Motion Generators (RMGs) for multi-phase motion generation tasks having only a slight change in the desired motion. The concepts of configuration matrices and state vectors are introduced as a novel way to represent planar RMGs. The kinematic analysis of a planar RMG in it’s initial configuration to determine the associated adjustable link lengths and angles is discussed. The adjustable link lengths are used to determine the link vector and state vector of a RMG. Future work will invo
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Wojtalewicz, Nikolas P., Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, and Sergey M. Plis. "Decentralized independent vector analysis." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7952271.

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Ikeshita, Rintaro, Tomohiro Nakatani, and Shoko Araki. "Overdetermined Independent Vector Analysis." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053790.

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Stockwell, Robert G., Robert P. Lowe, and L. Mansinha. "Instantaneous wave-vector analysis." In AeroSense '97, edited by Harold H. Szu. SPIE, 1997. http://dx.doi.org/10.1117/12.271747.

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Özay, Evrim Korkmaz, Metin Demiralp, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Piecewise Vector High Dimensional Model Representation." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3637818.

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Kovalenko, Ya D., and A. V. Vasilieva. "ANALYSIS OF THE INTERNAL AND EXTERNAL ENVIRONMENT LLC "DOUBLEGIS-BLAGOVESHCHENSK"." In RUSSIA AND CHINA: A VECTOR OF DEVELOPMENT. Amur State University, 2020. http://dx.doi.org/10.22250/rc.2019.2.44.

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Litinskaya, O. A., and N. V. Shelepova. "COMPARATIVE ANALYSIS OF MINERAL EXTRACTION TAXATION IN CHINA AND RUSSIA." In RUSSIA AND CHINA: A VECTOR OF DEVELOPMENT. Amur State University, 2020. http://dx.doi.org/10.22250/rc.2019.2.56.

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Alexeeva, A. V., and O. A. Tsepelev. "ANALYSIS OF TRADE BETWEEN RUSSIA AND CHINA, POSSIBLE CURRENCY RISKS." In RUSSIA AND CHINA: A VECTOR OF DEVELOPMENT. Amur State University, 2020. http://dx.doi.org/10.22250/rc.2019.2.79.

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Reports on the topic "Vector analysis"

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Ott, R. H. Vector Analysis and Satellite Footprints. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada169832.

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Qin, H., W. M. Tang, and G. Rewoldt. Symbolic Vector Analysis in Plasma Physics. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/293439.

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Qin, H., G. Rewoldt, and W. M. Tang. Symbolic Vector Analysis in Plasma Physics. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/3677.

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Calahan, D. A., and D. H. Bailey. Measurement and Analysis of Memory Conflicts on Vector Multiprocessors. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada188206.

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Yang, Joyce. Face Analysis Technology Evaluation (FATE) Face Image Quality Vector Assessment:. National Institute of Standards and Technology, 2023. http://dx.doi.org/10.6028/nist.ir.8485.

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Buscaino, B. Trend Analysis in Biomedical Texts via Vector Space Model Synonym Extraction. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1165794.

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Miller, H. V., S. D. Coughlan, Kevin B. Shaw, and Susan V. Carter. Digital Mapping Charting and Geodesy Analysis Program Technical Review Vector Product Format (VPF). Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada289766.

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Ort, Sara E., and Carol A. Subick. The Analysis of Engineer Activity in the Vector-in-Commander (VIC) battle Simulation. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada273460.

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Bhatia, Harsh. Consistent Feature Extraction From Vector Fields: Combinatorial Representations and Analysis Under Local Reference Frames. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1341967.

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Mokaya, Fridah. High Statistics Analysis of All-Neutral Decays of Vector Mesons with the Radphi Experiment. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1574214.

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