搜索结果: 1-7 共查到“几何学其他学科 q-Analysis”相关记录7条 . 查询时间(0.196 秒)
第二十五届南加州几何分析研讨会（Twenty-fifth Southern California Geometric Analysis Seminar）
第二十五届 南加州几何分析 研讨会
2017/12/20
The 25th SCGAS will be held at the University of California, Irvine, on Saturday, January 27, 2018, and Sunday, January 28, 2018.Graduate students, recent Ph.D.'s and under-represented minorities are ...
2017年几何分析研讨会（Workshop on Geometric Analysis）
2017年 几何分析 研讨会
2017/11/24
Geometric analysis is a traditional research area of Zhejiang University. It can be traced back to the "Chen-Su school" of the 1930s. A lot of famous mathematicians, especially geometric analysts, ...
Tianyuan Advanced Seminar on Geometric Analysis
Tianyuan Advanced Seminar Geometric Analysis
2017/3/9
The topic for 2017 Tianyuan Advanced Seminar on Geometric Analysis is nonlinear differential equations in geometry.
Moduli Spaces and Applications in Geometry,Topology,Analysis and Mathematical Physic
Moduli Spaces and Applications Geometry Topology Analysis Mathematical Physic
2017/1/11
Given the fundamental importance of moduli spaces and their applications in many different topics, we are organizing a week long conference titled "Moduli spaces and applications in geometry, topology...
Dynamical Geometric Analysis in Orsay Conference
Dynamical Geometric Analysis Orsay Conference
2017/1/10
DGAO is a conference to be held in Orsay (France) from June, 27 to 30, 2017, supported by the SFPRM.
Introduction to the non-asymptotic analysis of random matrices
the non-asymptotic analysis of random matrices math
2010/11/19
This is a tutorial on some basic non-asymptotic methods and concepts in random matrix theory. The reader will learn several tools for the analysis of the extreme singular values of random matrices wi...
Application of Tree-like Structure of Graph to Matrix Analysis
Application Tree-like Structure Matrix Analysis
2010/11/1
Formulas for matrix determinants, algebraic adjunctions, characteristic polynomial coefficients, components of eigenvectors are obtained in the form of signless sums of matrix elements products taking...