Add to ORKGAbstract Fortran 77 software implementing the SPG method is introduced.SPG is a nonmonotone projected gradient algorithm for solving largescale convex-constrained optimization problems. It combines the clas-sical projected gradient method with the spectral gradient choice of steplength and a nonmonotone line search strategy. The user providesobjective function and gradient values, and projections onto the feasible set. Implementation details are presented and the usage of thesoftware is described. Some recent numerical tests are reported on very large location problems. The main conclusion is that SPG comparesfavorably with existing software. Categories and Subject Descriptors:D.3.2
Abstract. A smoothing projected gradient (SPG) method is proposed for the minimization problem on a ...
Nonconvex and nonsmooth problems have recently received considerable attention in signal/image proce...
This paper presents an acceleration of the optimal subgradient algorithm OSGA [30] for solving conve...
The spectral projected gradient method (SPG) is an algorithm for large-scale bound-constrained optim...
A new method is introduced for large scale convex constrained optimization. The general model algor...
The well-known Conjugate Gradient (CG) method minimizes a strictly convex quadratic function for s...
Over the last two decades, it has been observed that using the gradient vector as a search direction...
The numerical solution of many engineering problems leads to the problem of minimizing a strictly co...
Nonmonotone projected gradient techniques are considered for the minimization of differentiable func...
This paper describes two optimal subgradient algorithms for solving structured large-scale convex co...
This paper shows that the optimal subgradient algorithm, OSGA, proposed in [59] can be used for solv...
This paper shows that the optimal subgradient algorithm (OSGA)—which uses first-order information to...
We present the Sequential Subspace Optimization (SESOP) method for large-scale smooth unconstrained ...
Abstract In this paper, a modified BFGS algorithm is proposed for unconstrained optimization. The pr...
We investigate projected scaled gradient (PSG) methods for convex minimization problems. These metho...
Abstract. A smoothing projected gradient (SPG) method is proposed for the minimization problem on a ...
Nonconvex and nonsmooth problems have recently received considerable attention in signal/image proce...
This paper presents an acceleration of the optimal subgradient algorithm OSGA [30] for solving conve...
The spectral projected gradient method (SPG) is an algorithm for large-scale bound-constrained optim...
A new method is introduced for large scale convex constrained optimization. The general model algor...
The well-known Conjugate Gradient (CG) method minimizes a strictly convex quadratic function for s...
Over the last two decades, it has been observed that using the gradient vector as a search direction...
The numerical solution of many engineering problems leads to the problem of minimizing a strictly co...
Nonmonotone projected gradient techniques are considered for the minimization of differentiable func...
This paper describes two optimal subgradient algorithms for solving structured large-scale convex co...
This paper shows that the optimal subgradient algorithm, OSGA, proposed in [59] can be used for solv...
This paper shows that the optimal subgradient algorithm (OSGA)—which uses first-order information to...
We present the Sequential Subspace Optimization (SESOP) method for large-scale smooth unconstrained ...
Abstract In this paper, a modified BFGS algorithm is proposed for unconstrained optimization. The pr...
We investigate projected scaled gradient (PSG) methods for convex minimization problems. These metho...
Abstract. A smoothing projected gradient (SPG) method is proposed for the minimization problem on a ...
Nonconvex and nonsmooth problems have recently received considerable attention in signal/image proce...
This paper presents an acceleration of the optimal subgradient algorithm OSGA [30] for solving conve...