学术报告报告人:韩茂安教授(上海师范大学)题目：The stability of some kinds of generalized homoclinic loops in planar piecewise smooth systems时间：2013年10月22日(星期二)下午4：00—5：00地点：致远楼102欢迎各位参加

Development of efficient solvers for solving linear systems Ax = b is one of the most significant issue on the field of computational science and engineering. The GMRES method of Saad and Schultz is a well-known solver as the typical Krylov subspace method for nonsymmetric linear systems. While the GMRES method show good convergence, it has difficulties in storage and computational costs. To remedy these difficulties, the restart technique is generally used as a practical choice. The restarted version of the GMRES method is called the GMRES(m) method. In this talk, we will focus on a relationship between the GMRES(m) method and the error equation and propose a new variant of the GMRES(m) method. Several numerical results will show that this new variant will be attractive.

题 目：发展方程的谱元法及其并行化报告人：上海大学数学系学术委员会主任、教学指导委员会主任、博士生导师马和平 教授时间：2013年10月15日（星期二）下午3：00-3:50地点：数学系102

题 目：Spectral element method for fourth order报告人：上海师范大学数理信息学院、名誉 院长、博士生导师郭本瑜 教授时间：2013年10月15日（星期二）下午4：00-5:00地点：数学系102

我们讨论了OU型过程的三个统计推断问题，一是OU型过程的参数估计问题，在参数估计问题中，我们讨论了伽马OU型过程的最大似然估计、一般OU型过程的最大经验似然估计和基于连续矩的GM估计；二是检验二个OU型过程分布是否相等的假设检验问题；三是OU型过程的变点检验问题。时间：2013年10月15日（周二）下午14:30开始地点：数学系致远楼107

We propose a two-step variable selection procedure for high dimensional fixed censored quantile regression, in which the response subject to fixed censoring, and the dimension of the covariates, is very large, possibly much larger than the sample size . To account for fixed censoring data with multivariate covariates, we employ the ideas of informative subset-based estimator (Tang et el. (2012)) and effective dimension reduction. Under some regularity conditions, we show our procedure enjoys the model selection consistency, as long as the conditional censoring probability can be estimated consistently. We demonstrate that the first step penalized estimator with LASSO penalty can reduces the model from ultra-high dimensional to a model whose size has the same order with the true model, and the selected model can cover the true model. The second step excludes the remained irrelevant covariates by applying adaptive LASSO penalty to the reduced model obtained from the first step.

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5月6日上午，同济大学数学系师生一行来到浦东外高桥保税区，与中国人民解放军94839部队签订了“军民共建”协议，并开展了第一次的共建活动。在签约仪式上，94839部队某营教导员向我系师生介绍了部队历史、发展和目前所担负的防空任务。讲述了这支“英雄部队”在解放战争和解放初期革命战士的英勇事迹以及在和平年代为各种大型活动、城市发展保驾护航的故事，使同学们深受教育。数学系副系主任殷俊锋教授向部队官兵介绍了我系的...