In this paper, the steepest descent curve of quadratic function through one point was first defined from the steepest descent direction of quadratic function at one point.
An intelligent sampling technique coupled with the steepest descent method is implemented for on-line estimation of the process, which can be approximated by a second-order model with time delay.
The one-dimension projection algorithm, which is the steepest descent based, base d on residual space for solving linear equations is analyzed in this paper.
The functional formalism for the effective potential is briefly reviewed for the case of a scalar field theory by using the method of steepest descents.
Usually, the steepest descent algorithm is used to find the minimum of LOO upper-bound. However, it often gets local optimal solution.
Bézier curve fitting based on genetic algorithm and steepest descent algorithm
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