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Questions tagged [condition-number]

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2
votes
1answer
85 views

Is there a general threshhold for which a large condition number becomes “problematic?”

I think the answer is probably no in the linear algebra community, but I'd say anything above $10^8$ and you're starting to lose too much precision, making the situation problematic. In some ...
2
votes
1answer
81 views

How to Invert a Poorly Conditioned Matrix

In my research, I need to invert a Fisher matrix in order to get a covariance matrix for me to do parameter estimation. Unfortunately, the values of Fisher matrix vary by many orders of magnitude, and ...
2
votes
1answer
158 views

Ill-condioned Linear System and Gaussian Elimination

Suppose that I have a linear system $Ax=b$ such that $A$ is ill-conditioned. Can I say that it is dangerous to find a solution with Gaussian Elimination for this system, or does there exist some class ...
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0answers
175 views

Is there any function to calculate condition number of sparse matrix in Eigen libraray?

The function JacobiSVD and BDCSVD can calcuate condtion number of a dense matrix via singular values. However I need to know condition number of a sparese matrix due to slow computation speed using ...
1
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0answers
90 views

Condition number of finite element stiffness matrix

In the FEM, there are certain applications in which the condition number $(\kappa)$ of the overall global stiffness matrix $(A)$ is computed or reduced by some preconditioner $(P)$. Are there any ...
5
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1answer
104 views

Accurately Computing a Positive Vector in the Nullspace of a Matrix

I'm sure this question has been asked before yet after many hours of searching I am unable to find a definitive answer. The problem at hand is solving the linear system: $$A \mathbf{x} = \mathbf{0}$$ ...
3
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2answers
50 views

Is “sensitivity” a term in numerical computation?

The section 4.2 "Poor Conditioning" in the book Deep Learning defines the condition number of the function $f(x) = A^{-1}x$ as \begin{align} \underset{i,j}{\max}~ \Bigg| \frac{\lambda_i}{ \...
2
votes
1answer
128 views

Why $\alpha I +A$ can improve the condition nubmer of a SPD matrix $A$?

For Poisson equation with Dirichlet boundary conditions in 2 dimension: $$ -\Delta u=f, $$ using FDM (centered difference) or FEM discretization, we can obtain a SPD system of linear equations as ...
7
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0answers
125 views

“Geometry of ill-conditioning” for least-squares problems

It is an idea that dates back to Demmel, 1987 that the condition number of a problem is often related to the distance to the closest ill-posed problems. In Section 3 of the above paper, the author ...
1
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1answer
104 views

Whether should we consider the condition number of the preconditioned matrix when choosing a preconditioner?

when we solve a large sparse linear system Ax=b, using preconditioned Krylov subspace methods,e.g., gmres, should we need to reduce the condition number of the coefficient matrix? In my opinion, we ...
3
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1answer
187 views

Matrix condition number and reordering

Does the condition number change when a matrix is reordered by e.g. Cuthill Mckee or some other method?
5
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1answer
300 views

CHOLMOD condition number estimate

The CHOLMOD library provides a CHOLMOD_rcond function that estimates the reciprocal condition number (in the one norm) of a symmetric positive definite matrix from ...
1
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1answer
77 views

Missing something fundamental about condition number estimation

In Higham's Accuracy and Stability of Numerical Algorithms, Chapter 15, algorithm 15.3 and 15.4: The topic is ostensibly condition number estimation, but these algorithms show how to compute $\gamma$ ...
2
votes
1answer
91 views

Assessing numerical error in solving a least squares problem

I have a linear system of the type $$Ax = b$$ I want to minimise $|b - Ax|^2$. I know there are different approaches to directly solve the system (Normal equation + Cholesky, QR decomposition, SVD ...
1
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1answer
209 views

Conjugate gradient - ill-conditioning and numerical tolerance

I would like to solve system $Ax=b$, where $A$ is SPD, but very ill-conditioned ($\text{cond}(A)>10^{11}$). I am interested in using UNpreconditioned version of the conjugate gradient method. Is ...
1
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2answers
268 views

Condition number of a matrix

I saw some definition that if $$M=\max_{x\not=0} \tfrac{\|Ax\|}{\|x\|} \quad\text{and}\quad m=\min_{x\not=0} \tfrac{\|Ax\|}{\|x\|} \,,$$ the condition number of $A=M/m$. In my opinion, If we have a ...
2
votes
1answer
143 views

Poorly conditioned, easily evaluated sum for unit testing

I am looking for examples of poorly conditioned sums which can rapidly be evaluated, for the purposes of unit testing. I'm currently using the series representation for $\ln(2)$: $$ \sum_{n=1}^{\...
1
vote
1answer
50 views

Condition number of two perburbation matrix regarding limit and quadtrature integration rules

I have a question regarding the condition number of two different perturbation matrices. To start with let $A$ be a spd matrix with elements defined by $a_{i,j} = \int\limits_{\Omega\subset \mathbb{R}^...
2
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1answer
118 views

Is steady linear elasticity inherently ill-conditioned?

Compared to the transient PDE for linear elasticity, the steady equations appear to less well-conditioned. Are they inherently ill-conditioned without the transient term? The condition number for ...
2
votes
1answer
212 views

Condition number of matrix and effects of round off errors

In my numerical linear algebra class, I learned that for some matrices, it could have an element that is a very small number that is approximately 0 (and many orders of magnitude different from all ...
6
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1answer
458 views

Defining a condition number and termination criteria for Newton's method

The condition number of function evaluation $$ \mathrm{cond}(f,x) := \left| \frac{x f'(x)}{f(x)} \right| $$ is infinite at a root of $f$. Hence it is useless for rescaling a tolerance which defines an ...
7
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2answers
863 views

Is large condition number good measure of nearness to singularity for a matrix?

I am new to numerical linear algebra, so i came to know that condition number in 2-norm case will be ratio of largest to smallest singular value. Another concept "Nearness To Singularity" is measured ...
7
votes
1answer
594 views

How to directly compute the inverse of an ill-conditioned dense matrix

I know that it is generally a bad idea to compute the inverse matrix directly. However, if it is necessary to compute the inverse of an ill-conditioned invertible dense matrix, then what can I try? ...
1
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2answers
723 views

What is a relative condition number of a sum of positive values?

We want to compute the relative condition number of: $$x_1+x_2+x_3+\cdots$$ We assume all values are positive, and we will do a limit of a large $x_1=10^{8}$, and smaller values for all the other ...
13
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2answers
1k views

Why can ill-conditioned linear systems be solved precisely?

According to the answer here, large condition number (for linear system solving) decreases the guaranteed number of correct digits in the floating point solution. Higher order differentiation matrices ...
1
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1answer
179 views

Large condition number with good accuracy

In computation of the solution I achieve a solution with nice precision and small number of nodes but the condition number of the matrix is very large. I am confused. Is it possible to have a large ...
1
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1answer
103 views

Numerical method for solving a system with positive definite blocks

I have a system with below coefficient matrix $$ C = \begin{pmatrix} A & B^T \\ B & D \end{pmatrix},$$ where, $A$ and $D$ are square and positive definite. Furthermore, if $B$ be square, ...
2
votes
1answer
189 views

Condition Number of Rectangular Matrices

The 2-norm condition number can be easily extended to rectangular matrices. I'm wondering if the inequality for the product of matrices still holds in that case, i.e., $\operatorname{cond}(AB) \leq \...
2
votes
1answer
493 views

Methods for solving rectangular, full-rank systems of equations — which is best?

Suppose I have a large, sparse, $m \times n$ matrix $A$, with $m \gt n$ and $\text{rank}(A) = n$. I wish to solve $Ax=b$. Suppose I know that $A$ has the following characteristics: $A$ is somewhat ...
2
votes
1answer
2k views

Solving linear systems with ill-conditioned matrices

As per suggestions of the people from MathOverflow, I'm reposting my question here: I'm currently trying to solve a linear system $Ax = B$, where the matrix $A$ is ill conditioned (i.e. nearly ...
3
votes
1answer
125 views

Condition number of $X^{T}AX$

$A$ is a symmetric matrix and is known to be invertible. $X$ is rectangular of size $(N+p) \times N$ with $p > 0$ but full column rank. Can we provide an upper bound on the condition number of $X^...
2
votes
0answers
53 views

How to classify chaotic systems from a stability perspective

I am wondering what chaotic systems are from the perspective of numerical analysis. I am talking about 'deterministic chaos' such as for instance the 'logistic map' exhibits it. That is, the solution ...
13
votes
1answer
904 views

Are direct solvers affected by the condition number of a matrix?

If I were to solve a relatively small problem, that is, a problem that can be handled by a direct method like LU, then does the condition number of the linear operator affect the accuracy of the ...
1
vote
1answer
338 views

Direct or iterative solver for ill-conditioned problems

I have to solve an ill-conditioned sparse matrix. Once I read that iterative solver are the better tool for such problems. Is that true? If yes, why?
3
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1answer
334 views

Designing a preconditioner for a very Ill-conditionned matrix

I am a physicist with limited numerical methods knowledge and I am trying to speed up the inversion of a very ill-conditioned problem ($rcond>10^{30}$). The same sparse square matrix is used ...
5
votes
2answers
865 views

Condition number from incomplete Cholesky factorization

I'm having difficulties patching together from what I read about obtaining the condition number of a real, symmetric, positive definite sparse matrix. In my code, I found that there is incomplete ...
3
votes
2answers
221 views

Does length unit in FEM affect numerical condition?

I try to solve a system of coupled PDEs using FEM. Unfortunately, the originating matrix has very poor condition. After days of double checking and thinking, I suspect the following reason: Given a ...
3
votes
1answer
499 views

Condition number of an algorithm

I am stuck with a problem about finding the condition number of an algorithm. I tried to find an example, but i couldn't. Can anybody help me, please? Given is $f(x)=\ln(x)$. We have the algorithm $...
15
votes
2answers
481 views

Is there any way to do “double preconditioning”

Question: Suppose that you have two different (factored) preconditioners for a symmetric positive definite matrix $A$: $$A \approx B^TB$$ and $$A \approx C^TC,$$ where the inverses of the factors $B, ...
10
votes
4answers
461 views

Are there any quad-double arithmetic sparse matrix package?

I am working on some ill-conditioned large sparse linear system of equations. I want to use double-double arithmetic or quad-double arithmetic to solve them. I know that there is a package named MPACK ...
3
votes
2answers
66 views

Parameter Fitting: Need measure of data 'support' for a parameter solution

I am estimating parameters on a dataset that would, for the most part, result in a weakly constrained solution. The dataset however also contains a few more data points that make the solution well-...
15
votes
3answers
1k views

Is variable scaling essential when solving some PDE problems numerically?

In semiconductor simulation, it is common that the equations are scaled so they have normalised values. For example, in extreme cases electron density in semiconductors can vary over 18 order of ...
6
votes
1answer
589 views

Jacobi preconditioner not reducing condition number?

Let's say you have a general matrix $A$, with diagonal entries $a_{ii} = d>0$. (No assumptions are made about the off-diagonal elements.) Then Jacobi preconditioning doesn't improve condition ...
8
votes
1answer
120 views

Preconditioning and effects on precision of solution of LSE

In my courses on numerical analysis, I have been taught that the main and principal motivation for preconditioning linear systems of equations is to increase the convergence rate of iterative solvers ...
3
votes
1answer
299 views

Closed form for singular values of 2D Laplacian?

Does anyone know where to find an analytic form for the singular values of the finite-difference approximation to the 2D Laplacian, expressed in matrix form for a square grid? This would be for the ...
9
votes
3answers
5k views

Solving a sparse and highly ill-conditioned system

I intend to solve Ax = b where A is complex, sparse, unsymmetric and highly ill-conditioned (condition number ~ 1E+20) square or rectangular matrix. I have been able to solve the system with ZGELSS in ...
9
votes
1answer
7k views

How to approximate the condition number of a large matrix?

How do I approximate the condition number of a large matrix $G$, if $G$ is a combination of Fourier transforms $F$ (non-uniform or uniform), finite differences $R$, and diagonal matrices $S$? The ...
4
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2answers
210 views

Problem Condition and Algorithm Stability

Consider 2 mathematical problems: $$ f_1(x) = a - x \\ f_2(x) = e^x -1 $$ The condition number for a function is defined as follows: $$ k(f) = \left| x \cdot \frac{f'}{f} \right| $$ Lets analyze ...
3
votes
1answer
979 views

Non-linear root finding when the Jacobian is almost singular

I'm trying to solve a system non linear-equations: $$ \frac{\partial K(\mathbf{\lambda})}{\partial \lambda_i} - c_i = 0 $$ for $i = 1, \dots, 15$, using Newton's method: $$ \lambda^{k + 1} = \lambda^k ...
5
votes
2answers
233 views

Imposing invertibility on a Matrix

I have a symmetric positive semidefinite covariance matrix $A$, which is approximately computed as the output of a quadratic regression. I then need to invert $A$, but often it is close to singular. I'...