Results 281 to 290 of about 1,234,902 (331)
Machine learning unlocks robust convergence for chemical process simulations
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1994
This book deals primarily with the numerical solution of linear systems of equations by iterative methods. The first part of the book is intended to serve as a textbook for a numerical linear algebra course. The material assumes the reader has a basic knowledge of linear algebra, such as set theory and matrix algebra, however it is demanding for ...
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This book deals primarily with the numerical solution of linear systems of equations by iterative methods. The first part of the book is intended to serve as a textbook for a numerical linear algebra course. The material assumes the reader has a basic knowledge of linear algebra, such as set theory and matrix algebra, however it is demanding for ...
openaire +3 more sources
An Adaptive Chebyshev Iterative Method
Mathematical Models and Computer Simulations, 2018The authors construct an adaptive iterative method of Chebyshev type in order to solve large systems of linear algebraic equations. These systems appear by applying some multigrid methods to 3D linear and self-adjoint elliptic boundary value problems. The algebraic systems inherit the properties of the problems.
Zhukov, V. T. +2 more
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Accelerating Vector Iteration Methods
Journal of Applied Mechanics, 1986This paper describes a technique for accelerating the convergence properties of iterative methods for the solution of large sparse symmetric linear systems that arise from the application of finite element method. The technique is called partial preconditioning process (PPR) and can be combined with pure vector iteration methods, such as the conjugate ...
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Molecular imaging in oncology: Current impact and future directions
Ca-A Cancer Journal for Clinicians, 2022Steven P Rowe, Martin G Pomper
exaly

