### 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 language | English |
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Title of host publication | ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control |

Publisher | Institute of Electrical and Electronics Engineers Inc. |

Pages | 613-618 |

Number of pages | 6 |

ISBN (Electronic) | 9781479980697 |

DOIs | |

Publication status | Published - 2015 Jun 1 |

Event | 2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015 - Taipei, Taiwan Duration: 2015 Apr 9 → 2015 Apr 11 |

### Publication series

Name | ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control |
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### Other

Other | 2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015 |
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Country | Taiwan |

City | Taipei |

Period | 15/4/9 → 15/4/11 |

### Fingerprint

### 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

*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.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*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

}

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 -