The geometric mean of positive definite matrices is usually identified with the Karcher mean, which possesses all properties—generalized from the scalar case— a geometric mean is expected to satisfy. Unfortunately, the Karcher mean is typically not structure preserving, and destroys, e.g., Toeplitz and band structures, which emerge in many applications. For this reason, the Karcher mean is not always recommended for modeling averages of structured matrices. In this article a new definition of a geometric mean for structured matrices is introduced, its properties are outlined, algorithms for its computation, and numerical experiments are provided. In the Toeplitz case an existing mean based on the Kahler metric is analyzed for comparison.s...
The geometric mean of two positive definite matrices has been defined in several ways and studied by...
The generalization of the geometric mean of positive scalars to positive definite matrices has attra...
In this paper, a family of geometric means for positive matrices is studied; provided some counter e...
The geometric mean of positive definite matrices is usually identified with the Karcher mean, which ...
Positive definite matrices can be encountered in a widespread collection of applications, such as si...
We propose a new algorithm to approximate the Karcher mean of N symmetric positive definite (SDP) ma...
In this paper, we present a survey of various algorithms for computing matrix geometric means and de...
In this paper we present a survey of various algorithms for computing matrix geometric means and der...
AbstractWe define a new family of matrix means {Pt(ω;A)}t∈[−1,1], where ω and A vary over all positi...
When computing an average of positive definite (PD) matrices, the preservation of additional matrix ...
© 2016 Society for Industrial and Applied Mathematics. When one computes an average of positive defi...
Means of positive numbers are well-know but the theory of matrix means due to Kubo and Ando is less ...
Means of positive numbers are well-know but the theory of matrix means due to Kubo and Ando is less ...
In many applications, the measurements are stored in matrices through some data transformation. As a...
Positive definite matrices can be encountered in a widespread collection of applications, such as si...
The geometric mean of two positive definite matrices has been defined in several ways and studied by...
The generalization of the geometric mean of positive scalars to positive definite matrices has attra...
In this paper, a family of geometric means for positive matrices is studied; provided some counter e...
The geometric mean of positive definite matrices is usually identified with the Karcher mean, which ...
Positive definite matrices can be encountered in a widespread collection of applications, such as si...
We propose a new algorithm to approximate the Karcher mean of N symmetric positive definite (SDP) ma...
In this paper, we present a survey of various algorithms for computing matrix geometric means and de...
In this paper we present a survey of various algorithms for computing matrix geometric means and der...
AbstractWe define a new family of matrix means {Pt(ω;A)}t∈[−1,1], where ω and A vary over all positi...
When computing an average of positive definite (PD) matrices, the preservation of additional matrix ...
© 2016 Society for Industrial and Applied Mathematics. When one computes an average of positive defi...
Means of positive numbers are well-know but the theory of matrix means due to Kubo and Ando is less ...
Means of positive numbers are well-know but the theory of matrix means due to Kubo and Ando is less ...
In many applications, the measurements are stored in matrices through some data transformation. As a...
Positive definite matrices can be encountered in a widespread collection of applications, such as si...
The geometric mean of two positive definite matrices has been defined in several ways and studied by...
The generalization of the geometric mean of positive scalars to positive definite matrices has attra...
In this paper, a family of geometric means for positive matrices is studied; provided some counter e...