Basic information
基本信息
教師姓名/name：田繼東/Tian Jidong
職稱(chēng)職務(wù)/position：教授/Professor
電子郵箱/email：[email protected]
研究方向/research direction：
計(jì)算數(shù)學(xué)/高性能計(jì)算/地震勘探中的數(shù)學(xué)應(yīng)用
Computational Mathematics / High performance computing / Mathematical applications in seismic exploration Academic information
其他信息
教育背景（Education）
1982年9月至1986年7月：西南師范大學(xué)（現(xiàn)西南大學(xué)）數(shù)學(xué)系讀本科，獲理學(xué)學(xué)士學(xué)位；1990年9月至1993年2月：西南石油學(xué)院勘探系讀研究生，獲工學(xué)碩士學(xué)位。
September 1982 to July 1986：Acquired the Bachelor of Science in mathematics, Southwestern Normal University . September 1990 to February 1993: Acquired the Master's degree in engineering from Southwest Petroleum Institute.
論文及專(zhuān)著發(fā)表（Publications）
田繼東，周文靜，陳普春，宋國(guó)杰，余先政，Radon變換在縱橫波分離中的應(yīng)用研究，科學(xué)技術(shù)與工程，2016，第16卷第27期：106 ~ 109
Tian Jidong , Zhou Wenjing, Chen Puchun, Song Guojie, Yu Xianzheng, Research on the application of Radon transform in the separation of P-wave and S-wave, Science technology and Engineering,16(27)2016, 106~109
研究項(xiàng)目（Projects）
近五年作為負(fù)責(zé)人承擔(dān)的科研項(xiàng)目4項(xiàng)，代表性項(xiàng)目《大北區(qū)塊構(gòu)造數(shù)值模擬研究》系塔里木油田公司在中石油股份公司立項(xiàng)的重大專(zhuān)項(xiàng)子課題，合同金額518萬(wàn)元。
In the last five years .As the person responsible for undertaking 4 research projects. The representative project is’ Study on Numerical
Simulation of Dabei block structure’, which was set up the project in China National Petroleum Corporation and became an important subproject in Tarim Oilfield Company. The value of the contract is 5 million 180 thousand yuan.
獲獎(jiǎng)情況（Awards）
2014年獲“全國(guó)大學(xué)生數(shù)學(xué)建模競(jìng)賽四川賽區(qū)第六屆優(yōu)秀組織工作獎(jiǎng)”。
In 2014.Acquired the ‘The sixth outstanding organization award of National Mathematical Modeling Contest Sichuan Division’.
講授課程（Courses）
近五年講授的本科生課程有：離散數(shù)學(xué)、概率論與數(shù)理統(tǒng)計(jì)、數(shù)學(xué)建模、數(shù)學(xué)實(shí)驗(yàn)；講授的研究生課程有：數(shù)值分析（碩士）、最優(yōu)化方法（碩士）、并行計(jì)算與算法復(fù)雜性分析（博士）
In the last five years. Taught course for undergraduate include Discrete mathematics, Probability theory and mathematical statistics, Mathematical modeling, Mathematical experiment. Courses for graduate students are Numerical analysis for master, Optimization method for master, Parallel computing and algorithm complexity analysis for doctor.
