In this article, we propose an adaptive grid based on mesh equidistribution principle for two-parameter convection-diffusion boundary value problems with continuous and discontinuous data. A numerical algorithm based on an upwind finite difference operator and an appropriate adaptive grid is constructed. Truncation errors are derived for both continuous and discontinuous problems. Parameter uni...

Time-accurate fluid-structure interaction simulations of strong shock and detonation waves impinging on deforming solid structures benefit significantly from the application of dynamic mesh adaptation in the fluid. A patch-based parallel fluid solver with adaptive mesh refinement in space and time tailored for this problem class is presented; special attention is given to the robustness of the ...

We describe a hybrid meta-heuristic algorithm for combinatorial optimization problems with a specific reference to the travelling salesman problem (TSP). The method is a combination of a genetic algorithm (GA) and greedy randomized adaptive search procedure (GRASP). A new adaptive fuzzy a greedy search operator is developed for this hybrid method. Computational experiments using a wide range of...

Unsupervised anomaly detection aims to build models effectively detect unseen anomalies by only training on the normal data. Although previous reconstruction-based methods have made fruitful progress, their generalization ability is limited due two critical challenges. First, dataset contains patterns, which limits model ability. Second, feature representations learned existing often lack repre...

To accommodate the growing demand for memory capacity in a cost-effective way, multiple types of are incorporated single system. In such tiered systems consisting small fast and large slow components, accurately identifying performance importance pages is critical to properly migrate hot memory. Meanwhile, address translation cost due increasing footprints, helped adopting huge common systems. ...