Research about the special type matrix to proof and solve the method of linear algebra

Yan Lin Li, Jiann-Yun Day

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

'Data century has arrived! Having too many applications to discrete mathematics rather than use continuous mathematics, the method instead of using analog to digital methods. The vector and matrix has become the language which we must speak up.' says the author of the professor named Gibert, S. Linear algebra is a branch of mathematics that studies the object is a vector, a vector space (or linear space), and finite-dimensional linear transformation of linear equations. Vector space is an important topic in modern mathematics. Linear algebra is widely used in abstract algebra and functional analysis; through analytic geometry, linear algebra to be specific representation. The theory of linear algebra has been generalized to operator theory. Due to the science of nonlinear models can be approximated by the linear models. Linear algebra was widely used in the natural sciences, engineering, computer and social science. Linear algebra originated in the two-dimensional and three-dimensional Cartesian coordinate system research.

Original languageEnglish
Title of host publicationICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages613-618
Number of pages6
ISBN (Electronic)9781479980697
DOIs
Publication statusPublished - 2015 Jun 1
Event2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015 - Taipei, Taiwan
Duration: 2015 Apr 92015 Apr 11

Publication series

NameICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control

Other

Other2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015
CountryTaiwan
CityTaipei
Period15/4/915/4/11

Fingerprint

Linear algebra
algebra
mathematics
matrices
Vector spaces
vector spaces
analytic geometry
Natural sciences
Functional analysis
Linear transformations
functional analysis
Social sciences
linear transformations
Linear equations
Cartesian coordinates
Computer science
Algebra
linear equations
Mathematical operators
engineering

Keywords

  • Jordan canonical form
  • minimal ploynomial
  • positive definition and negative definition
  • quadratic curve

ASJC Scopus subject areas

  • Instrumentation
  • Control and Systems Engineering
  • Computer Networks and Communications

Cite this

Li, Y. L., & Day, J-Y. (2015). Research about the special type matrix to proof and solve the method of linear algebra. In ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control (pp. 613-618). [7116108] (ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNSC.2015.7116108

Research about the special type matrix to proof and solve the method of linear algebra. / Li, Yan Lin; Day, Jiann-Yun.

ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control. Institute of Electrical and Electronics Engineers Inc., 2015. p. 613-618 7116108 (ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, YL & Day, J-Y 2015, Research about the special type matrix to proof and solve the method of linear algebra. in ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control., 7116108, ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control, Institute of Electrical and Electronics Engineers Inc., pp. 613-618, 2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015, Taipei, Taiwan, 15/4/9. https://doi.org/10.1109/ICNSC.2015.7116108
Li YL, Day J-Y. Research about the special type matrix to proof and solve the method of linear algebra. In ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control. Institute of Electrical and Electronics Engineers Inc. 2015. p. 613-618. 7116108. (ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control). https://doi.org/10.1109/ICNSC.2015.7116108
Li, Yan Lin ; Day, Jiann-Yun. / Research about the special type matrix to proof and solve the method of linear algebra. ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 613-618 (ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control).
@inproceedings{419551d023ee434fa4706946c27c9eb1,
title = "Research about the special type matrix to proof and solve the method of linear algebra",
abstract = "'Data century has arrived! Having too many applications to discrete mathematics rather than use continuous mathematics, the method instead of using analog to digital methods. The vector and matrix has become the language which we must speak up.' says the author of the professor named Gibert, S. Linear algebra is a branch of mathematics that studies the object is a vector, a vector space (or linear space), and finite-dimensional linear transformation of linear equations. Vector space is an important topic in modern mathematics. Linear algebra is widely used in abstract algebra and functional analysis; through analytic geometry, linear algebra to be specific representation. The theory of linear algebra has been generalized to operator theory. Due to the science of nonlinear models can be approximated by the linear models. Linear algebra was widely used in the natural sciences, engineering, computer and social science. Linear algebra originated in the two-dimensional and three-dimensional Cartesian coordinate system research.",
keywords = "Jordan canonical form, minimal ploynomial, positive definition and negative definition, quadratic curve",
author = "Li, {Yan Lin} and Jiann-Yun Day",
year = "2015",
month = "6",
day = "1",
doi = "10.1109/ICNSC.2015.7116108",
language = "English",
series = "ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "613--618",
booktitle = "ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control",

}

TY - GEN

T1 - Research about the special type matrix to proof and solve the method of linear algebra

AU - Li, Yan Lin

AU - Day, Jiann-Yun

PY - 2015/6/1

Y1 - 2015/6/1

N2 - 'Data century has arrived! Having too many applications to discrete mathematics rather than use continuous mathematics, the method instead of using analog to digital methods. The vector and matrix has become the language which we must speak up.' says the author of the professor named Gibert, S. Linear algebra is a branch of mathematics that studies the object is a vector, a vector space (or linear space), and finite-dimensional linear transformation of linear equations. Vector space is an important topic in modern mathematics. Linear algebra is widely used in abstract algebra and functional analysis; through analytic geometry, linear algebra to be specific representation. The theory of linear algebra has been generalized to operator theory. Due to the science of nonlinear models can be approximated by the linear models. Linear algebra was widely used in the natural sciences, engineering, computer and social science. Linear algebra originated in the two-dimensional and three-dimensional Cartesian coordinate system research.

AB - 'Data century has arrived! Having too many applications to discrete mathematics rather than use continuous mathematics, the method instead of using analog to digital methods. The vector and matrix has become the language which we must speak up.' says the author of the professor named Gibert, S. Linear algebra is a branch of mathematics that studies the object is a vector, a vector space (or linear space), and finite-dimensional linear transformation of linear equations. Vector space is an important topic in modern mathematics. Linear algebra is widely used in abstract algebra and functional analysis; through analytic geometry, linear algebra to be specific representation. The theory of linear algebra has been generalized to operator theory. Due to the science of nonlinear models can be approximated by the linear models. Linear algebra was widely used in the natural sciences, engineering, computer and social science. Linear algebra originated in the two-dimensional and three-dimensional Cartesian coordinate system research.

KW - Jordan canonical form

KW - minimal ploynomial

KW - positive definition and negative definition

KW - quadratic curve

UR - http://www.scopus.com/inward/record.url?scp=84941203107&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84941203107&partnerID=8YFLogxK

U2 - 10.1109/ICNSC.2015.7116108

DO - 10.1109/ICNSC.2015.7116108

M3 - Conference contribution

AN - SCOPUS:84941203107

T3 - ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control

SP - 613

EP - 618

BT - ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control

PB - Institute of Electrical and Electronics Engineers Inc.

ER -