Questions for tag matrix-inverse

Invertibility / singularity of matrix resulting from a symmetric(0,1) matrix pointwise multiplicated with a vector (consisting of a,b)+identity matrix

Performance Fluctuations of Numpy Matrix Inversion

numpy matrix inverse input

Using sparse solver like SuperLU etc. to find the matrix inverse in fortran

np.linalg.inv() leads to array full of np.nan

What Numerical Stability conditioning is this algorithm using for Gaussian-elimination matrix inversion?

Ordering of MATLAB operator

CVXPY) Maximum diagonal entry of the inverse matrix

division by zero warning in numpy despite there being no zeros to divide in a function for finding inverse matrix

Why two different calculations of inverse of homogeneous matrix give two different results?

Matrix inversion using Neumann Series giving funny loss function

Finding inverse of an ill-conditioned matrix

I have made a copy of the list , and have executed certain operations on it. But after a point the real matrix ,that is the list gets affected

Non-invertability Mhurdle package in R

Pseudo-inverse not producing correct output

Function to invert Eigen matrix without branching statements for auto differentiation

LAPACKE or MAGMA GPU - inversion of matrix with Cholesky factorization - functions magma_dpotrf_gpu and magma_dpotri_gpu

chol2inv(chol(x)) and solve(x)

Why does numpy np.linalg.inv returns two close but different result while finding inverse of a matrix?

Is numba efficient for numpy.linalg.inv?

Segmentation Fault in Matrix Inverse

malloc(): corrupted top size for matrix inverse

Image reconstruction from a sinogram via SVD, in MATLAB

MSVC compiler with /arch:AVX2 /fp:fast breaks C++ matrix inversion algorithm

Pseudoinverse code results in C inaccurate compared to MATLAB results

How do you invert euclidean (transform and rotation only) matrices in C?

WinGDI SetWorldTransform Inverse

What are the best driver routines in LAPACK for implementing the Moore-Penrose psudo inversion

Accuracy of calculation of matrix

To find an inverse matrix of A with LU decomposition

numpy - Inverse of a matrix/array filled with Fractions - Error

Solving linear system in Julia: Mismatch with solution found using R

Finding inverse of a matrix using Gauss-Jordan Elimination in Python

how to make a matrix invertible for sure, in R

How to use MAGMA with NVIDIA GPU card instead of CPU LAPACKE to inverse large matrix

Writing a faster function to find the inverse of 3x3 matrix in R

Unable to replicate inverse of Choleski Decomposition chol2inv

Linear Algebra : remove row/line and project with a reduced Jacobian is equivalent to project firstly with a full Jacobian and remove after row/line?

Python: creating inverse matrix without numpy

Sympy: Moore-Penrose pseudoinverse for MatrixSymbol

Weird result from Inversion of matrix using Package "Matrix" with negative sign in R

Three methods for inverting a matrix in R all give different results

Why inv(matrix)*matrix is not exact identity matrix in Octave?

How to solve a set of linear differential equations containing a singular matrix without pseudo inverse?

Python - Inversing complex arrays

6x6 block matrix inversion

Numpy vs Eigen vs Xtensor Linear Algebra Benchmark Oddity

Numpy make faster inverse matrix

Find an algorithm to inverse quickly a large matrix of symbolic variables

Gaussian Elimination leading to a last diagonal element going to zero

What is the pyspark implementation of np.linalg.inv() function

Multiply matrix with vector in GAMS

Absorbing Markov Chain produces wrong output during matrix inversion

How to use numpy functions in numba

From generalized eigen values problem to classical eigen values problem

Pytorch's Autograd does not support complex matrix inversion, does anyone have a workaround?

Inverting a Matrix of variables

Matrix/array operations inside a python function

Why does plotting something with matplotlib change the first outcome of a numpy.linalg.inv inversion with complex entries and how to avoid it?

How can I retrieve x from this Ax=b?

Wrong computation of inverse Eigen::MatrixXd

Python: Why do I get error message when I try to calculate the inverse of my 2x2-matrix (Hessian)?

Extend Euclid Algorithm with matrix inverse mod N

Python numpy.linalg.inv() returns nonsense on a matrix that was created by numpy.cov(). Help me with this strange bug

Fastest way in R to compute the inverse for large matrices

Finding the inverse of a MxM Matrix- Using gauss-jordan elimination

Why the intermediate values in matrix inverse calculations are slightly different between C# and CUDA C++?

How to find out the inverse of an NXN matrix in C

Inverse matrix calculation in real time

Manually calculating Pseudo inverse from SVD in R looks wrong?

Normal Equation and pinv() in Matlab/Octave

Matrix inverse issue with numpy.linalg.inv()

Space complexity of matrix inversion, determinant and adjoint

Cannot Invert Matrix using Lapack DGETRF/DGETRI in VBA

What could be the best way to find Inverse Matrix in SIMD?

python inverse matrix without numpy

What causes the singular matrix error in kernel ridge regression and how to fix it?

inv(A)*B vs A\B - Why this weird behavior in MatLab?

Computing `AB⁻¹` with `np.linalg.solve()`

Can I use mldivide “\” on an nD matrix without using for loops in MATLAB?

How do I find the pseudo-inverse from Apache Commons Math - Java library

How to vectorize matrix inversion while handling runtime error in pytorch

Confusion about inverse matrix numpy

How to matrix inversion For 1 Dimension with c code?

Compute the (Moore-Penrose) pseudo-inverse of a matrix in Python without NumPy

Numpy: Singular Matrix

Wrong matrix inverse results in R

Tensorflow pseudo inverse doesn't work for complex matrices

LAPACKE C++ Real Matrix Inversion

LAPACKE C++ complex Matrix Inversion

Efficient way of computing 3x3 pseudoinverse in C on an embedded system

Understanding solveInPlace operation in Eigen

Numerically stable way to compute conditional covariance matrix using linalg.solve

How can I calculate the jacobian matrix for eit inverse problem?

Best performance method when solving 7000x7000 linear system with python

Why is cholesky decomposition not giving me the same result as simply inverting the matrix?

Sympy - find inverse of matrix only at a particular location?