Problems with the gradient method
A hybrid conjugate gradient method for optimization problems
... conjugate gradient method for solving unconstrained ...given method is competitive to the other standard conjugate gradient methods for the test ...
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Non-monotone projected gradient method in linear elasticity contact problems with given friction
... contact problems discretized by Finite Element method ...these problems and the development of efficient algorithms for solving them play the crucial role in the large-scale problems in ...
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A Conjugate Gradient Method for Unconstrained Optimization Problems
... PRP method does not converge globally even if the exact line search is ...PRP method β k max{0, β PRP k } is globally convergent with the WWP line search ...hybrid method with the WWP line ...
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Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems
... new method in this class with a theo- retical convergence rate four times faster than ex- isting methods, for sums with sufficiently many ...This method is also amendable to a sam- pling without replacement ...
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Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems
... new method in this class with a theo- retical convergence rate four times faster than ex- isting methods, for sums with sufficiently many ...This method is also amendable to a sam- pling without replacement ...
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A new Liu–Storey type nonlinear conjugate gradient method for unconstrained optimization problems
... conjugate gradient methods can be found [3,5,8–10, 14,15,18,20–22] et ...LS method. If exact line search is used, the LS method is identical to the HS and PRP ...conjugate gradient methods in ...
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A viscosity-proximal gradient method with inertial extrapolation for solving certain minimization problems in Hilbert space
... proximal gradient algorithm with inertial extrapolation term for solving classical mi- nimization problem and finding the fixed points of δ-demimetric mapping in a real Hilbert ...approximation method of ...
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Minimization of Unconstrained Nonpolynomial Large-Scale Optimization Problems Using Conjugate Gradient Method Via Exact Line Search
... This is the most powerful algorithm for solving large-scale nonlinear optimization problems. It normally requires the fewest number of function evaluations, is very good at ill- conditioning, and is capable of ...
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A Parallel-In-Time Gradient-Type Method For Optimal Control Problems
... the gradient computation from an optimal control point of view as the origin of the adjoint ...including gradient projection method, gener- alized reduced gradient method, constraint ...
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A fast nonlinear conjugate gradient based method for 3D concentrated frictional contact problems
... Fast Fourier transform This paper presents a fast numerical solver for a nonlinear constrained optimization problem, arising from 3D concentrated frictional shift and rolling contact problems with dry Coulomb ...
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A Bayesian Conjugate Gradient Method
... Figure 5: Comparison of the posterior distribution over the conductivity field, when using BayesCG to solve the linear system arising from the forward problem compared to using standard CG. the question of how to ...
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Conjugate Gradient Method Numerical Example
... to problems that have global reflexive symmetry, yielding smaller and independent subproblems to solve, or indirectly to problems with partial symmetry, resulting in loosely coupled ...conjugate ...
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A New Conjugancy Coefficient of Conjugate Gradient Method
... 1 College of comp. Science & Math. Mosul University, Iraq 2 College of comp. Science & Math. Tikrit University, Iraq Abstract: In this paper, we derived a new formula of conjugancy coefficient for conjugate ...
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A New Preconditioned Conjugate Gradient Method for Optimization
... Conjugate Gradient (CG) method that generates weighted search directions is proposed in this ...the method developed in this paper need not be explicitly ...optimization problems were used to ...
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Global convergence of a modified conjugate gradient method
... PRP+ method [] and the CG-DESCENT method [] in the number of function evaluations and CPU time in seconds with the strong Wolfe line ...test problems are some large-scaled unconstrained ...
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Modified Conjugate Gradient Method for Unconstrained Optimization
... Conjugate gradient method holds an important role in solving unconstrained Optimizations , especially for large scale ...this method . In this paper , we propose a new conjugate gradient meth ...
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Fast hard thresholding with Nesterov's gradient method
... algorithms, gradient-projection methods, and the non-smooth optimization framework by ...Lipschitz gradient constant, which can be overestimated by the matrix ...approximation problems by (i) ...
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A parallel gradient method for the determination of the design point in
... numerical method to be developed. Similar problems are also encountered in system operability assessments where com- binations of the input parameters are sought under which the system is most likely to ...
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Real-time proximal gradient method for linear MPC
... 1 The authors are with the MECO Research Team, Department Mechan- ical Engineering, KU Leuven and with the DMMS lab, Flanders Make, Leuven, Belgium. [email protected] Recently, there has been an increased ...
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A new, globally convergent Riemannian conjugate gradient method
... conjugate gradient algorithm is proposed with only a mild computational overhead per ...conjugate gradient method on a Riemannian manifold M , and then a new algorithm is proposed, in which the ...
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