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A Data Driven Koopman–Schur Decomposition for Computational Analysis of Nonlinear Dynamics
A Koopman operator-based prediction algorithm and its application to COVID-19 pandemic and influenza cases
A LAPACK Implementation of the Dynamic Mode Decomposition
IRKA is a Riemannian Gradient Descent Method
Hermitian Dynamic Mode Decomposition - Numerical Analysis and Software Solution
Numerical Aspects and Software Tools for the Koopman Framework for Computational Data Driven Analysis of Dynamical Systems
Computational Tools for Koopman Spectral Analysis of Nonlinear Dynamical Systems
Numerical Linear Algebra Aspects of the Dynamic Mode Decomposition
Robust and reliable numerical linear algebra - applications and implementations
Chebyshev kernel polynomial method for efficient calculation of the quasiparticle random phase approximation response function
New computational tools for Koopman spectral analysis of nonlinear dynamical systems
An Algorithm for the Complete Solution of the Quartic Eigenvalue Problem
Learning Low-Dimensional Dynamical-System Models from Noisy Frequency-Response Data with Loewner Rational Interpolation
Predicting the Critical Number of Layers for Hierarchical Support Vector Regression
Numerical methods for accurate computation of the eigenvalues of Hermitian matrices and the singular values of general matrices
On Least Squares Problems with Certain Vandermonde- Khatri-Rao Structure with Applications to DMD
New numerical algorithm for deflation of infinite and zero eigenvalues and full solution of quadratic eigenvalue problems
Revisiting IRKA: Connections with Pole Placement and Backward Stability
Stability of Discrete Empirical Interpolation and Gappy Proper Orthogonal Decomposition with Randomized and Deterministic Sampling Points
New Numerical Algorithm for Deflation of Infinite and Zero Eigenvalues and Full Solution of Quadratic Eigenvalue Problems
Dynamic Mode Decomposition—A Numerical Linear Algebra Perspective
New developments of the Discrete Empirical Interpolation Method
Numerical aspects of the Koopman and the dynamic mode decomposition
On variations of the Discrete Empirical Interpolation for nonlinear model reduction
Data Driven Koopman Spectral Analysis in Vandermonde-Cauchy Form via the DFT: Numerical Method and Theoretical Insights
Simpozij studenata doktorskih studija PMF-a : knjiga sažetaka
Robust numerical methods for nonlinear eigenvalue problems
Data Driven Modal Decompositions: Analysis and Enhancements
Parallel Solver for Shifted Systems in a Hybrid CPU--GPU Framework
The Discrete Empirical Interpolation Method: Canonical Structure and Formulation in Weighted Inner Product Spaces
Parallel solver for shifted linear systems with application to model order reduction
New contributions to the theory and practice of the Discrete Empirical Interpolation Method
Algorithm 977: A QR--Preconditioned QR SVD Method for Computing the SVD with High Accuracy
Baroreflex Physiology Using Koopman Mode Anal- ysis
A New Selection Operator for the Discrete Empirical Interpolation Method : Improved A Priori Error Bound and Extensions
POD dekompozicija i diskretna empirijska interpolacija (DEIM) s primjenama
A hybrid algorithm for solving shifted linear systems
A new framework for implicit restarting of the Krylov-Schur algorithm
Quadrature-based Vector Fitting for discretized H2 approximation
SVD of Hankel matrices in Vandermonde-Cauchy product form
Vector Fitting for Matrix-valued Rational Approximation
On Kac parameters and spectral decomposition of a matrix of specialized roots of Lie algebra $\mathfrak{sl}_n$
A new framework for polynomial filtering in implicitly restarted Arnoldi type algorithms
A GPU algorithm for computing the frequency response
Efficient generalized Hessenberg form and applications
A reproducing-kernel framework for H2 model order reduction
Computing eigenvalues and singular values to high relative accuracy
Sparse representations of signals for information recovery from incomplete data
GPU algorithms for solving shifted systems with multiple right–hand sides
A contribution to the theory and practice of the block Kogbetliantz method for computing the SVD
Accurate SVD of Cauchy-type matrices and applications
Numerical implementation of the iterative rational Krylov algorithm for optimal H2 model order reduction
A note on shifted Hessenberg systems and frequency response computation
Optimal damping for vibrating systems using dimension reduction
Točan rastav svojstvenih vrijednosti streličastih matrica i primjene
Numerical Implementation of the Iterative Rational Krylov Algorithm for Optimal H2 Model Reduction
Accurate and Stable Numerical Linear Algebra in Control
Efficient algorithms for solving shifted systems with multiple right–hand sides
Pseudospectral Picture of the Seismic Algorithm for Surface Multiple Attenuation
Krylov type methods for large scale eigenvalue computations
Multigrid metode
A global convergence proof for cyclic Jacobi methods with block rotations
SIAM SIAG/Linear Algebra Prize
How a numerical rank revealing instability affects Computer Aided Control System Design
New fast and accurate Jacobi SVD algorithm
Subspace gap residuals for Rayleigh-Ritz approximations
An Implementation of the Iterative Rational Krylov Method for Optimal H2 Model Reduction
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On the failure of rank revealing QR factorization software : a case study
On the Convergence of Block Kogbetliantz Methods for Calculating the SVD
New fast and accurate Jacobi SVD algorithm. I
New fast and accurate Jacobi SVD algorithm. II
Computing Eigenvalues and Singular Values to High Relative Accuracy
Primjena SVD dekompozicije u analizi digitalnih slika
On the Failure of Rank Revealing QR Factorization Software
Relative eigenvalue/eigenvector estimates for multi-scale problems in science and engineering
Fast Methods for Large Scale Singular Value Decomposition
New XGEQPF, XLAPF2, XLAQPS and XGEQP3 in LAPACK
Proceedings of the Conference on Applied Mathematics and Scientific Computing
New Jacobi-Type Algorithm for Computing the SVD
On accuracy properties of one-sided bidiagonalization algorithm and its applications
A new stable bidiagonal reduction algorithm
Closing the gap between fast and accurate SVD methods
New challenge in SVD computation -- can we have full accuracy at maximal speed?
Eigenvalue computations -- state of the art and new challenging problems
Fast accurate solution of eigenvalue and singular value problems
New fast implementation of the Jacobi SVD algorithm
SGP Heuristics for One Machine Scheduling Problem
On numerical properties of one-sided bidiagonalization algorithm
Applied Mathematics and Scientific Computing
Advances in Jacobi Methods
On Positive Semidefinite Matrices with Known Null Space
On Posititive Semidefinite Matrices with Known Null Space
Primjena matričnih dekompozicija u pretraživanju baza podataka
Rank deficient problems and numerical ranks with known structure
Numerical computation of the partial eigenvalue problem for symmetric matrices
Iterative methods for solving linear systems
Accuracy and stability in numerical linear algebra
On Accurate Quotient Singular Value Computation in Floating-Point Arithmetic
New Accurate Algorithms for Singular Value Decomposition of Matrix Triplets
Approximate eigenvectors as preconditioner
Computing the Singular Value Decomposition with High Relative Accuracy
A posteriori computation of the singular vectors in a preconditioned Jacobi SVD algorithm
Matrices, Vector Spaces, and Information Retrieval
On Principal Angles Between Subspaces of Euclidean Space
Numeričko računanje matričnih dekompozicija i primjene
A tangent algorithm for computing the generalized singular value decomposition
Accurate computation of the product-induced singular value decomposition with applications
Implementation of Jacobi rotations for accurate singular value computation in floating-point arithmetic
On scaled almost diagonal Hermitian matrix pairs
Relative residual bounds for the eigenvalues of a Hermitian semidefinite matrix.
On relative residual bound for the eigenvalues of a Hermitian matrix
Generalized eigensolutions by Jacobi methods
On the condition behaviour in the Jacobi Method
On the quadratic convergence bounds for the J-symmetric Jacobi method