STOCHASTIC INFLUENCE ON GRADIENT NUMERICAL METHODS FOR NONLINEAR LEAST SQUARES PROBLEMS
The development of knowledge in the fields of mathematics, science and technology has brought humans into the information and digital era. This change leads to changes in the amount of data collected to be extracted and used for various purposes, one of them through mathematical models. There are...
محفوظ في:
المؤلف الرئيسي: | Christopher, Gerend |
---|---|
التنسيق: | Final Project |
اللغة: | Indonesia |
الوصول للمادة أونلاين: | https://digilib.itb.ac.id/gdl/view/82325 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Least squares approximation to stochastic optimization problems
بواسطة: ZHENG, Zhichao, وآخرون
منشور في: (2015) -
An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems
بواسطة: Toh, K.-C., وآخرون
منشور في: (2014) -
Framework for gradient integration by combining radial basis functions method and least-squares method
بواسطة: Huang, Lei, وآخرون
منشور في: (2013) -
Improvement of least squares integration method with iterative compensation for shape reconstruction from gradient
بواسطة: Huang, Lei, وآخرون
منشور في: (2013) -
An improved conjugate gradient scheme to the solution of least squares SVM
بواسطة: Chu, W., وآخرون
منشور في: (2014)