Deterministic Time-Varying Demand Lot-Sizing Models with Learning and Forgetting in Setups and Production

The formation mechanism has been studied in this work through dynamic light scattering method which can get information about growth and distribution curve of particle size in

In Section 3, we propose a GPU-accelerated discrete particle swarm optimization (DPSO) algorithm to find the optimal designs over irregular experimental regions in terms of the

Our model system is written in quasi-conservative form with spatially varying fluxes in generalized coordinates Our grid system is a time-varying grid. Extension of the model to

In particular, we present a linear-time algorithm for the k-tuple total domination problem for graphs in which each block is a clique, a cycle or a complete bipartite graph,

In this paper, we propose a practical numerical method based on the LSM and the truncated SVD to reconstruct the support of the inhomogeneity in the acoustic equation with

Students are asked to collect information (including materials from books, pamphlet from Environmental Protection Department...etc.) of the possible effects of pollution on our

In summary, the main contribution of this paper is to propose a new family of smoothing functions and correct a flaw in an algorithm studied in [13], which is used to guarantee

In outline, we locate first and last fragments of a best local alignment, then use a linear-space global alignment algorithm to compute an optimal global