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Both systems are optimized by an iterative optimization procedure.
This was done by an iterative optimization procedure minimizing the objective function stated in Eq. (19).
Subsequently, robust PCA (RPCA) [20] was proposed to pursue the low-rank representation by an iterative optimization approach.
Iterative reconstruction methods are based on modeling the experiment as a linear system of equations, which is solved by an iterative optimization method.
Some algorithms such as Radon and Hough transforms [13] and polar mapping [15] can solve this problem by an iterative optimization implementation of exhaustive searching in a wide angle range.
This process was accomplished by an iterative optimization procedure that identified the intervals and ensured that dose deviations in all intervals were approximately equal.
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The optimized electrostatic and magnetic configuration has been defined by means of an iterative optimization involving all the physics and the engineering aspects.
This automatic procedure is typically carried out by means of an iterative optimization algorithms.
This accelerated processing speed is possible because the proposed method replaces an iterative optimization by linear addition and multiplication operations.
Eddy and Durbin (1994) also presented an iterative optimization procedure that iterates between alignment and structure, taking an optimization approach instead of the sampling approach we describe here.
The experimental data were inverted to obtain interatomic force constants by using a Born-von Kármán model with an iterative optimization algorithm.
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