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This paper presents a unified framework for investigating the partial condition number (CN) of the solution of double saddle point problems (DSPPs) and provides closed-form expressions for it. This unified framework encompasses the…

Numerical Analysis · Mathematics 2025-06-17 Sk. Safique Ahmad , Pinki Khatun

Both structured componentwise and structured normwise perturbation analysis of the Tikhonov regularization are presented. The structured matrices under consideration include: Toeplitz, Hankel, Vandermonde, and Cauchy matrices. Structured…

Numerical Analysis · Mathematics 2016-01-12 Huai-An Diao , Yimin Wei , Sanzheng Qiao

In this paper, we consider the mixed and componentwise condition numbers for a linear function of the solution to the total least squares (TLS) problem. We derive the explicit expressions of the mixed and componentwise condition numbers…

Numerical Analysis · Mathematics 2016-12-28 Huai-An Diao , Yang Sun

In this paper, we derive the mixed and componentwise condition numbers for a linear function of the solution to the total least squares with linear equality constraint (TLSE) problem. The explicit expressions of the mixed and componentwise…

Numerical Analysis · Mathematics 2021-11-09 Mahvish Samar

In this paper, we present explicit expressions for the mixed and componentwise condition numbers of the truncated total least squares (TTLS) solution of $A\boldsymbol{x} \approx \boldsymbol{b} $ under the genericity condition, where $A$ is…

Numerical Analysis · Mathematics 2020-04-30 Qing-Le Meng , Huai-An Diao , Zheng-Jian Bai

Perturbation theory plays a crucial role in sensitivity analysis, which is extensively used to assess the robustness of numerical techniques. To quantify the relative sensitivity of any problem, it becomes essential to investigate…

Numerical Analysis · Mathematics 2024-08-06 Sk. Safique Ahmad , Pinki Khatun

The condition number of a linear function of the indefinite least squares solution is called the partial condition number for the indefinite least squares problem. In this paper, based on a new and very general condition number which can be…

Numerical Analysis · Mathematics 2016-09-05 Hanyu Li , Shaoxin Wang

In this paper, we propose a cubic regularized Newton (CRN) method for solving convex-concave saddle point problems (SPP). At each iteration, a cubic regularized saddle point subproblem is constructed and solved, which provides a search…

Optimization and Control · Mathematics 2020-08-25 Kevin Huang , Junyu Zhang , Shuzhong Zhang

In this paper, based on the theory of adjoint operators and dual norms, we define condition numbers for a linear solution function of the weighted linear least squares problem. The explicit expressions of the normwise and componentwise…

Numerical Analysis · Mathematics 2017-05-23 Huai-An Diao , Liming Liang , Sanzheng Qiao

The saddle-point problems (SPPs) with nonlinear coupling operators frequently arise in various control systems, such as dynamic programming optimization, H-infinity control, and Lyapunov stability analysis. However, traditional primal-dual…

Optimization and Control · Mathematics 2025-03-21 Sai Wang , Yi Gong

A modification of the generalized shift-splitting (GSS) method is presented for solving singular saddle point problems. In this kind of modification, the diagonal shift matrix is replaced by a block diagonal matrix which is symmetric…

Numerical Analysis · Mathematics 2017-04-26 Davod Khojasteh Salkuyeh , Maryam Rahimian

In the realm of numerical analysis, the study of structured backward errors (BEs) in saddle point problems (SPPs) has shown promising potential for development. However, these investigations overlook the inherent sparsity pattern of the…

Numerical Analysis · Mathematics 2025-03-11 Sk. Safique Ahmad , Pinki Khatun

In this paper, the normwise condition number of a linear function of the equality constrained linear least squares solution called the partial condition number is considered. Its expression and closed formulae are first presented when the…

Numerical Analysis · Mathematics 2016-03-29 Hanyu Li , Shaoxin Wang

In this paper, we propose a generalized shift-splitting (GSS) preconditioner, along with its two relaxed variants to solve the double saddle point problem (DSPP). The convergence of the associated GSS iterative method is analyzed, and…

Numerical Analysis · Mathematics 2025-07-08 Sk. Safique Ahmad , Pinki Khatun

In this paper, we consider the mixed and componentwise condition numbers for a linear function of the solution to the linear least squares problem with equality constrains (LSE). We derive the explicit expressions of the mixed and…

Numerical Analysis · Mathematics 2016-12-13 Huai-An Diao

This paper is devoted to condition numbers of the total least squares problem with linear equality constraint (TLSE). With novel limit techniques, closed formulae for normwise, mixed and componentwise condition numbers of the TLSE problem…

Numerical Analysis · Mathematics 2021-11-01 Qiaohua Liu , Zhigang Jia

In this paper, the generalized shift-splitting preconditioner is implemented for saddle point problems with symmetric positive definite (1,1)-block and symmetric positive semidefinite (2,2)-block. The proposed preconditioner is extracted…

Numerical Analysis · Mathematics 2015-03-03 Davod Khojasteh Salkuyeh , Mohsen Masoudi , Davod Hezari

We obtain a parametric normal form for any non-degenerate perturbation of the generalized saddle-node case of Bogdanov--Takens singularity. Explicit formulas are derived and greatly simplified for an efficient implementation in any computer…

Dynamical Systems · Mathematics 2014-12-25 Majid Gazor , Mojtaba Moazeni

In this paper, we consider the explicit expressions of the normwise condition number for the scaled total least squares problem. Some techniques are introduced to simplify the expression of the condition number, and some new results are…

Numerical Analysis · Mathematics 2019-07-08 Shaoxin Wang , Hanyu Li , Hu Yang

Numerical computations involving rational matrices often benefit from preserving underlying matrix structures such as symmetry, Hermitian properties, or sparsity that reflect physical, geometric, or algebraic characteristics of the system.…

Rings and Algebras · Mathematics 2026-02-26 Avisek Bist , Namita Behera
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