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3teaching:0classes:meshless [2018/09/07 16:13]
mohsen [Introduction to Meshfree Approximation Methods, WS 2018/19]
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-=== Meshless Methods === 
  
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-====== Introduction to Meshfree Approximation Methods, ​ WS 2018/19 ====== 
-**[[:​5people:​rieger:​start|Vertr.-Prof. Dr. C. Rieger]], [[:​5people:​kirchhart:​start|Matthias Kirchhart]]** 
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-A class for students of CES, Mathematics and SiSc as well as everybody else interested. 
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-=== Intention === 
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-In this lecture, we will discuss meshfree approximation methods. 
-A main part of the lecture will focus on kernel-based approximation methods. 
-Such methods are a common tool in machine learning but have also proven useful for the numerical solution of partial differential equations, and both areas will be addressed in the lecture. ​ 
-Especially in the field of partial differential equations we will discuss applications such as surface differential equation or differential equations with constraints (such as vanishing divergence). ​ 
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-Besides the theoretical foundations we will also discuss implementational details. ​ 
-There will also be programming exercises where the material can be applied. 
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-Further information can be found on  [[https://​online.rwth-aachen.de|online.rwth-aachen.de]] and {{ :​3teaching:​0classes:​meshless.pdf | here}}. 
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-=== Schedule === 
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-Tuesdays, 14:30 - 16:00 in Rogowski 328. 
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