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The analysis is performed by combining a gradient-based optimizer with the unsteady vortex lattice method (UVLM).

The optimization problem is solved by combining a discrete gradient-based optimization method with a Monte Carlo simulation.

The ZS method[ 25] uses spatially and frequency-selective excitation by combining a selective 180° proton pulse with a weak magnetic field gradient.

These disadvantages have been overcome by combining density gradient U/C with other methods like filtration and chromatography.

Achanta and Süsstrunk proposed a saliency map based on global colors and intensity contrast [15], which is improved by combining with gradient magnitude [16].

By combining the gradient information from different eigenfunctions, the generated parametric lines are automatically aligned with the structural features at various scales, and they are insensitive to local detailed features on the surface when low-mode eigenfunctions are used.

Since conjugate gradient methods [15] have been widely seen as an efficient accelerated version of most gradient methods, we introduce an accelerated Picard algorithm by combining the conjugate gradient methods and the Picard algorithm.

Based on detailed long-term data of wind regimes collected from typical ventilation sites along the railways in the Gobi area of Xinjiang, this study systematically analyzes the characteristics of the disastrous wind-sand environment along the railways by combining gradient sand sampling data collected by a wind-drift sand monitoring system and site survey data.

By combining gradient HPLC and SEC (Size Exclusion Chromatography) in a fully automated two-dimensional chromatography setup, the complex distributions of chemical composition and molar mass could be simultaneously described and fingerprinted.

This paper proposes a method for designing 'intrinsic' rewards of autonomous agents by combining constrained policy gradient reinforcement learning and embodied evolution.

Note that the gradient estimate when (Gamma =Gamma _k) with (k>n/2) and (Omega ) is convex in case (ii) is obtained by combining the local gradient estimate in Theorem 3.1 and the Hölder estimate in Lemma 3.1; (see the last paragraph of Sect. 3).

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