Conjugate gradient acceleration of iteratively re-weighted least squares methods

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Conjugate gradient acceleration of iteratively re-weighted least squares methods

Iteratively Re-weighted Least Squares (IRLS) is a method for solving minimization problems involving non-quadratic cost functions, perhaps non-convex and non-smooth, which however can be described as the infimum over a family of quadratic functions. This transformation suggests an algorithmic scheme that solves a sequence of quadratic problems to be tackled efficiently by tools of numerical lin...

متن کامل

Iteratively re-weighted least-squares and PEF-based interpolation

Interpolation methods frequently deal poorly with noise. Least-squares based interpolation methods can deal well with noise, as long as it is Gaussian and zero-mean. When this is not the case, other methods are needed. I use an iteratively-reweighted least-squares scheme to interpolate both regular and sparse data with non-stationary prediction-error filters. I show that multi-scale methods are...

متن کامل

Robust Data Whitening as an Iteratively Re-weighted Least Squares Problem

The entries of high-dimensional measurements, such as image or feature descriptors, are often correlated, which leads to a bias in similarity estimation. To remove the correlation, a linear transformation, called whitening, is commonly used. In this work, we analyze robust estimation of the whitening transformation in the presence of outliers. Inspired by the Iteratively Re-weighted Least Squar...

متن کامل

Gradient methods and conic least-squares problems

This paper presents two reformulations of the dual of the constrained least squares problem over convex cones. In addition, it extends Nesterov’s excessive gap method 1 [21] to more general problems. The conic least squares problem is then solved by applying the resulting modified method, or Nesterov’s smooth method [22], or Nesterov’s excessive gap method 2 [21], to the dual reformulations. Nu...

متن کامل

Conjugate gradient total least - squares in geophysical optimiza - tion problems

Golub and Loan (1980) presented a numerically-stable TLS algorithm which utilizes the singular value decomposition (SVD). Subsequent refinements to the method predominantly use SVD, and much of the current literature emphasizes stabilization of the inverse and implicit model regularization by SVD truncation (Fierro et al., 1997). Because it is numerically intensive, however, the SVD generally p...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Computational Optimization and Applications

سال: 2016

ISSN: 0926-6003,1573-2894

DOI: 10.1007/s10589-016-9839-8