Results 41 to 50 of about 382,992 (165)
We propose two techniques aimed at improving the convergence rate of steady state and eigenvalue solvers preconditioned by the inverse Stokes operator and realized via time-stepping.
AY Gelfgat +26 more
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An Efficient Limited Memory Multi-Step Quasi-Newton Method
This paper is dedicated to the development of a novel class of quasi-Newton techniques tailored to address computational challenges posed by memory constraints. Such methodologies are commonly referred to as “limited” memory methods.
Issam A. R. Moghrabi, Basim A. Hassan
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Application of parallel algorithms for numerical simulation of quasi-one dimensional blood flow
The main goal of modern hemodynamic simulation is the prediction of blood pressure in the arteries, as well as the study of the various factors complex effect on the cardiovascular system characteristics.
A. N. Avdeeva, V. V. Puzikova
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A full-Newton step interior-point algorithm for symmetric cone convex quadratic optimization
In this paper, we present a full-Newton step primal-dual interior-point algorithm for solving symmetric cone convex quadratic optimization problem, where the objective function is a convex quadratic function and the feasible set is the intersection of an affine subspace and a symmetric cone lies in Euclidean Jordan algebra.
Yanqin Bai, Lipu Zhang
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A full-Newton step infeasible interior point algorithm and its parameters analysis
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Lipu, Xu, Yinghong
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Stochastic B-series analysis of iterated Taylor methods
For stochastic implicit Taylor methods that use an iterative scheme to compute their numerical solution, stochastic B--series and corresponding growth functions are constructed.
A. Rößler +17 more
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A Fast Algorithm for Sparse Controller Design [PDF]
We consider the task of designing sparse control laws for large-scale systems by directly minimizing an infinite horizon quadratic cost with an $\ell_1$ penalty on the feedback controller gains.
Kolter, J. Zico, Wytock, Matt
core
Hybrid Deterministic-Stochastic Methods for Data Fitting
Many structured data-fitting applications require the solution of an optimization problem involving a sum over a potentially large number of measurements.
Kumar S. +5 more
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In order to design efficient foundations, it is necessary to know exact behaviour of them and surrounding soil under the load. At present various numerical methods [1–11] are used to determine such response.
Gintaras Bukotas, Rimantas Kačianauskas
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A class of one-dimensional dynamic impact models is investigated with respect to non-smooth velocities using variational inequalities and space-time finite element approximation.
Victor A. Kovtunenko
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