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A descent Dai-Liao conjugate gradient method based on a modified secant equation and its global convergence.
Determining the periodic response of nonlinear systems by a gradient method. International Journal of Circuit Theory and Applications, 5(3), 255-273.
Then an optimization algorithm such as the conjugate gradient method is applied in hopes of finding a global minimum.
Algorithm 851: CG_Descent, a conjugate gradient method with guaranteed descent.
ALGORITHM 6: Spectral projected gradient method. (1) if [parallel]P ([x.sub.c] - [nabla]f ([x.sub.c])) - [x.sub.c][parallel] = 0, that is, xc is stationary then (2) Stop (3) Compute [d.sub.c] = P ([x.sub.c] - [[alpha].sub.c]g ([x.sub.c])) - [x.sub.c].
We presented the iterative algorithm based on accelerated proximal gradient method, which was termed as NAD-APG.
Based on the basic principle of the phase gradient method [1], we can obtain the target line glint error as:
One is the inner iteration that completes the source reconstruction by solving (7) via the conjugate gradient method. The cost function defined below is minimized in this process.
If the gradient and Hessian are both available, then the inverse approach is known as a Newton method; if only the gradient is available, then it is a gradient method. For complex, heterogeneous models, computation of the gradient is still feasible, but Hessian is not.
Conjugate gradient method [10] is a well known method for solving large number of equations.
2 is solved by the preconditioned conjugate gradient method [13], which is applicable to solve system of large scale complex linear equations.
Iterative algorithm of a gradient method used to determine a saddle point of a functional with constraints

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