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Interior-point methods for linear optimization based on a kernel function with a trigonometric barrier term

Journal of computational and applied mathematics, 2012-09, Vol.236 (15), p.3613-3623

2012

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A polynomial-time algorithm for linear optimization based on a new class of kernel functions

Journal of computational and applied mathematics, 2009-02, Vol.224 (2), p.500-513

2009

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On the Convergence of an Inexact Primal-Dual Interior Point Method for Linear Programming

Large-Scale Scientific Computing, 2006, p.629-637

2006

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Generating a synthetic diffusion tensor dataset

18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 2005, p.277-281

2005

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Reducing the deteriorating effect of old history in asynchronous iterations

Lecture notes in computer science, 2004, p.698-707

2004

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The Conjugate Gradient Method and Trust Regions in Large Scale Optimization

SIAM journal on numerical analysis, 1983-06, Vol.20 (3), p.626-637

Steihaug, Trond

1983

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Data structures in Java for matrix computations

Concurrency and computation, 2004-07, Vol.16 (8), p.799-815

2004

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An analytical model for a class of architectures under master-slave paradigm

Lecture notes in computer science, 2000, p.601-604

2000

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On the use of Java arrays for sparse matrix computations

Advances in Parallel Computing, 2004, Vol.13, p.119-126

2004

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Primal-dual algorithm for linear optimization problems based on a new class of kernel functions

2008 IEEE Symposium on Computers and Communications, 2008, p.722-729

2008

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A test problem generator for large-scale unconstrained optimization

ACM transactions on mathematical software, 1985-06, Vol.11 (2), p.97-102

1985

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Truncated-Newton algorithms for large-scale unconstrained optimization

Mathematical programming, 1983-06, Vol.26 (2), p.190-212

1983

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Inexact Newton Methods

SIAM journal on numerical analysis, 1982-04, Vol.19 (2), p.400-408

1982

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Computing a sparse Jacobian matrix by rows and columns

Optimization methods & software, 1998-01, Vol.10 (1), p.33-48

1998

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Deteriorating convergence for asynchronous methods on linear least squares problems

Euro-Par'97 Parallel Processing, 2005, p.750-759

2005

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Local and superlinear convergence for truncated iterated projections methods

Mathematical programming, 1983-10, Vol.27 (2), p.176-190

Steihaug, Trond

1983

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Application of a Class of Preconditioners to Large Scale Linear Programming Problems

Euro-Par’99 Parallel Processing, 1999, p.1044-1048

1999

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Primal-dual interior-point methods solver based on kernel functions for Linear Optimization

2009 International Multiconference on Computer Science and Information Technology, 2009, p.743-749

2009

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A Convergence Theory for a Class of Quasi-Newton Methods for Constrained Optimization

SIAM journal on numerical analysis, 1987-10, Vol.24 (5), p.1133-1151

1987

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Block diagonal scaling for iterative methods in thermal simulation

Communications in applied numerical methods, 1985-11, Vol.1 (6), p.263-267

1985

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On the sparse and symmetric least-change secant update

Mathematics of computation, 1984, Vol.42 (166), p.521-533

Steihaug, Trond

1984

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On the Successive Projections Approach to Least-Squares Problems

SIAM journal on numerical analysis, 1986-08, Vol.23 (4), p.717-733

1986

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Some computational aspects in the numerical solution of parabolic equations

Journal of computational and applied mathematics, 1978-06, Vol.4 (2), p.129-142

1978

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A block preconditioned conjugate gradient-type iterative solver for linear systems in thermal reservoir simulation

Journal of computational physics, 1986-11, Vol.67 (1), p.37-58

1986

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On the Square Root Computation in Liber Abaci and De Practica Geometrie by Fibonacci

Mathematics (Basel), 2024-03, Vol.12 (6), p.889

Steihaug, Trond

2024

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Interior-point methods for linear optimization based on a kernel function with a trigonometric barrier term

A polynomial-time algorithm for linear optimization based on a new class of kernel functions

On the Convergence of an Inexact Primal-Dual Interior Point Method for Linear Programming

Generating a synthetic diffusion tensor dataset

Reducing the deteriorating effect of old history in asynchronous iterations

The Conjugate Gradient Method and Trust Regions in Large Scale Optimization

Data structures in Java for matrix computations

An analytical model for a class of architectures under master-slave paradigm

On the use of Java arrays for sparse matrix computations

Primal-dual algorithm for linear optimization problems based on a new class of kernel functions

A test problem generator for large-scale unconstrained optimization

Truncated-Newton algorithms for large-scale unconstrained optimization

Inexact Newton Methods

Computing a sparse Jacobian matrix by rows and columns

Deteriorating convergence for asynchronous methods on linear least squares problems

Local and superlinear convergence for truncated iterated projections methods

Application of a Class of Preconditioners to Large Scale Linear Programming Problems

Primal-dual interior-point methods solver based on kernel functions for Linear Optimization

A Convergence Theory for a Class of Quasi-Newton Methods for Constrained Optimization

Block diagonal scaling for iterative methods in thermal simulation

On the sparse and symmetric least-change secant update

On the Successive Projections Approach to Least-Squares Problems

Some computational aspects in the numerical solution of parabolic equations

A block preconditioned conjugate gradient-type iterative solver for linear systems in thermal reservoir simulation

On the Square Root Computation in Liber Abaci and De Practica Geometrie by Fibonacci

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