Search Results - "Pearson, John W."
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1
Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization
Published in Numerische Mathematik (2017)“…Interior point methods provide an attractive class of approaches for solving linear, quadratic and nonlinear programming problems, due to their excellent…”
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2
Numerical methods for the computation of the confluent and Gauss hypergeometric functions
Published in Numerical algorithms (01-03-2017)“…The two most commonly used hypergeometric functions are the confluent hypergeometric function and the Gauss hypergeometric function. We review the available…”
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3
On symmetric positive definite preconditioners for multiple saddle-point systems
Published in IMA journal of numerical analysis (03-06-2024)“…We consider symmetric positive definite preconditioners for multiple saddle-point systems of block tridiagonal form, which can be applied within the Minres…”
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4
Preconditioners for Krylov subspace methods: An overview
Published in Mitteilungen der Gesellschaft für Angewandte Mathematik und Mechanik (01-11-2020)“…When simulating a mechanism from science or engineering, or an industrial process, one is frequently required to construct a mathematical model, and then…”
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5
Double saddle‐point preconditioning for Krylov methods in the inexact sequential homotopy method
Published in Numerical linear algebra with applications (01-08-2024)“…We derive an extension of the sequential homotopy method that allows for the application of inexact solvers for the linear (double) saddle‐point systems…”
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General-purpose preconditioning for regularized interior point methods
Published in Computational optimization and applications (01-12-2022)“…In this paper we present general-purpose preconditioners for regularized augmented systems, and their corresponding normal equations, arising from optimization…”
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7
A spectral-in-time Newton–Krylov method for nonlinear PDE-constrained optimization
Published in IMA journal of numerical analysis (13-04-2022)“…We devise a method for nonlinear time-dependent partial-differential-equation-constrained optimization problems that uses a spectral-in-time representation of…”
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Interior‐point methods and preconditioning for PDE‐constrained optimization problems involving sparsity terms
Published in Numerical linear algebra with applications (01-03-2020)“…Summary Partial differential equation (PDE)–constrained optimization problems with control or state constraints are challenging from an analytical and…”
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Fast iterative solver for the optimal control of time‐dependent PDEs with Crank–Nicolson discretization in time
Published in Numerical linear algebra with applications (01-03-2022)“…In this article, we derive a new, fast, and robust preconditioned iterative solution strategy for the all‐at‐once solution of optimal control problems with…”
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10
Parameter-robust preconditioning for the optimal control of the wave equation
Published in Numerical algorithms (01-03-2020)“…In this paper, we propose and analyze a new matching-type Schur complement preconditioner for solving the discretized first-order necessary optimality…”
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11
A new preconditioning approach for an interior point‐proximal method of multipliers for linear and convex quadratic programming
Published in Numerical linear algebra with applications (01-08-2021)“…In this article, we address the efficient numerical solution of linear and quadratic programming problems, often of large scale. With this aim, we devise an…”
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12
Fast iterative solvers for an optimal transport problem
Published in Advances in computational mathematics (02-04-2019)“…Optimal transport problems pose many challenges when considering their numerical treatment. We investigate the solution of a PDE-constrained optimisation…”
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13
A rational deferred correction approach to parabolic optimal control problems
Published in IMA journal of numerical analysis (16-10-2018)“…Abstract The accurate and efficient solution of time-dependent partial differential equation (PDE)-constrained optimization problems is a challenging task, in…”
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14
MultiShape: a spectral element method, with applications to Dynamic Density Functional Theory and PDE-constrained optimization
Published in IMA journal of numerical analysis (16-10-2024)“…A new numerical framework is developed to solve general nonlinear and nonlocal PDEs on complicated two-dimensional domains. This enables the solution of a wide…”
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15
Pseudospectral methods and iterative solvers for optimization problems from multiscale particle dynamics
Published in BIT (01-12-2022)“…We derive novel algorithms for optimization problems constrained by partial differential equations describing multiscale particle dynamics, including non-local…”
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16
Refined saddle-point preconditioners for discretized Stokes problems
Published in Numerische Mathematik (2018)“…This paper is concerned with the implementation of efficient solution algorithms for elliptic problems with constraints. We establish theory which shows that…”
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17
A radial basis function method for solving PDE-constrained optimization problems
Published in Numerical algorithms (01-11-2013)“…In this article, we apply the theory of meshfree methods to the problem of PDE-constrained optimization. We derive new collocation-type methods to solve the…”
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18
Preconditioners for state-constrained optimal control problems with Moreau-Yosida penalty function
Published in Numerical linear algebra with applications (01-01-2014)“…SUMMARYOptimal control problems with partial differential equations as constraints play an important role in many applications. The inclusion of bound…”
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19
Preconditioned iterative methods for Navier–Stokes control problems
Published in Journal of computational physics (01-07-2015)“…PDE-constrained optimization problems are a class of problems which have attracted much recent attention in scientific computing and applied science. In this…”
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A new approximation of the Schur complement in preconditioners for PDE-constrained optimization
Published in Numerical linear algebra with applications (01-10-2012)“…SUMMARY Saddle point systems arise widely in optimization problems with constraints. The utility of Schur complement approximation is now broadly appreciated…”
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