Results 131 to 140 of about 2,786 (218)

Krylov Subspace Methods with a Twist

Krylov subspace methods are widely used iterative solvers for real or complex linear systems. In this talk, I will advocate that these methods should be viewed as more than just algorithms juggling matrices and vectors. Instead, with a view towards the setting behind the linear systems, we will systematically re-derive a general residual minimizing ...
openaire   +1 more source

Preconditioned Krylov Subspace Methods for Solving Nonsymmetric Matrices from CFD Applications

, 1998
We conduct experimental study on the behavior of several preconditioned iterative methods to solve nonsymmetric matrices arising from computational fluid dynamics (CFD) applications.
Jun Zhang
core  

Selected Configuration Interaction Using Time-Evolved Population Statistics. [PDF]

J Chem Theory Comput
Weaving T, Mingare A, Ralli A, Coveney PV.   +3 more
europepmc   +1 more source

Krylov subspace methods for approximating functions of symmetric positive definite matrices with applications to applied statistics and anomalous diffusion

, 2008
Matrix function approximation is a current focus of worldwide interest and finds application in a variety of areas of applied mathematics and statistics.
Simpson, Daniel Peter
core  

Iterative-Based Impact Force Identification on a Bridge Concrete Deck. [PDF]

Sensors (Basel), 2023
Rashidi M, Tashakori S, Kalhori H, Bahmanpour M, Li B.   +4 more
europepmc   +1 more source

Krylov Subspace Methods for Large-Scale Matrix Problems in Control

, 2002
This paper presents a brief but state-of-the-art survey of some of existing Krylov subspace methods for large-scale matrix problems in control.
Biswa Nath Datta
core  

Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. [PDF]

J Sci Comput
Benková K, Pearson JW, Ptashnyk M.
europepmc   +1 more source

Krylov Subspace Methods and Applications to System and Control Problems

, 2007
In this report the Krylov subspace methods are reviewed and some applications in linear system theory and modern control theory are introduced.
Huipin Zhang
core  

Enhanced Krylov Methods for Molecular Hamiltonians: Reduced Memory Cost and Complexity Scaling via Tensor Hypercontraction. [PDF]

J Chem Theory Comput
Wang Y, Luo M, Reumann M, Mendl CB.
europepmc   +1 more source

A Vibronic Coupling Model to Study the Nonadiabatic Dynamics of Polyenes. [PDF]

J Phys Chem A
Georges TN, Summerley L, Runeson JE, Barford W.   +3 more
europepmc   +1 more source