This paper proposes a stabilization of the classical hierarchical basis (HB)-nite element method by modifying the standard nodal basis functions that correspond to the hierarchical complement (in the next ner discretization space) of any successive coarse dis-cretization space using computationally feasible approximate L 2 {projections onto the given coarse space. The corresponding multilevel a...

Software quality evaluation has always been an important part of software business. The quality evaluation process is usually based on hierarchical quality models that measure various aspects of software quality and deduce a characterization of the product quality being evaluated. The particular nature of open source software has rendered existing models inappropriate for detailed quality evalu...

A novel hierarchical approach is proposed to symbolic analysis of large analog circuits. The key idea is to use a graph-based representation—called Determinant Decision Diagram (DDD)— to represent the symbolic determinant and cofactors associated with the MNA matrix for each subcircuit block. By exploiting the inherent sharing and sparsity of symbolic expressions, DDD is capable of representing...

A local multilevel product algorithm and its additive version are analyzed for linear systems arising from the application of adaptive finite element methods to second order elliptic boundary value problems. The abstract Schwarz theory is applied to verify uniform convergence of local multilevel methods featuring Jacobi and Gauss-Seidel smoothing only on local nodes. By this abstract theory, co...

This study investigates the time-varying effects of celebrity endorsements on consumer purchase attitudes toward promoted products using a novel dynamic hierarchical multi-attribute attitude forecast model. The induced direct and indirect effects via constructs of product attributes and net product value are then incorporated into the proposed conceptual model, which is formulated with a discre...

There are many expressive and structural differences between product names and general named entities such as person names, location names and organization names. To date, there has been little research on product named entity recognition (NER), which is crucial and valuable for information extraction in the field of market intelligence. This paper focuses on product NER (PRO NER) in Chinese te...

Enterprise-level business decisions are linked with engineering product decisions by integrating enterprise utility optimization and engineering design optimization under a hierarchical, multilevel, decision-based design framework. The enterprise problem sets attribute targets, that is, specifications, for engineering product development, which then optimizes product performance within the feas...

Although the concept of knowledge asset management is known for years, there are almost no methodologies that can help its implementation in companies. Even if we are focusing only on product related knowledge assets, we face the problems associated with the diversity of products and companies, and ambiguity and complexity of knowledge. This paper presents a framework methodology that specifies...

Sparse tensor product spaces provide an efficient tool to discretize higher dimensional operator equations. The direct Galerkin method in such ansatz spaces may employ hierarchical bases, interpolets, wavelets or multilevel frames. Besides, an alternative approach is provided by the so-called combination technique. It properly combines the Galerkin solutions of the underlying problem on certain...