Sentence examples for path optimization from inspiring English sources
Because transition path optimization also optimizes the end-states, namely, reactant and product, that are experimentally observable, it is worth analyzing structural changes in these states first.
A family of curves based fiber path optimization approach is developed to optimize the fiber paths in composite laminate with a centered hole, in an attempt to improve the uniaxial tensile load carrying capabilities.
The routing and capacity designs for the meshed logical topologies are optimized by using the discrete event flow optimization (DEFO) algorithm, while the routing and capacity designs for the sparse logical topologies are optimized by using the shortest path optimization and DEFO algorithms presented.
The developed tool path optimization approach can handle various objectives under multiple constraints.
It is sufficient to analyze the constrained flight path optimization of commercial aircraft reducing noise levels.
In this method, a novel ridge extraction algorithm based on dynamic path optimization is adopted to estimate the instantaneous frequency.
By using the distance function, tool path optimizations for semi-finish and finish millings are formulated as two constrained optimization problems in a unified framework, and a sequential approximation algorithm along with a hierarchical algorithmic structure is developed for the optimization.
In this method, only one parameter is temporarily changed and complicated recalculations such as path optimizations are not required.
To confirm the mechanism and obtain more accurate reaction energetics and transition state structures, two reaction path optimizations were performed at the density functional theory (DFT) (B3LYP/6-31+G B3LYP/6-31+G QM/MM level, using starting conformations from two PESs with the Tyr137-Ser47-Tyr110′ hydrogen bond network in place.
Through a strong integration and automation of these methods, tolerance analysis, acquisition tool-path optimization and data management are performed.
The algorithm includes a global-path optimization that identifies the number of obstacles resulting from a clustering technique based on obstacle information from an airborne sensor, and specifies a potential threat.
