Goal-oriented error
An a priori anisotropic Goal-Oriented Error Estimate for Viscous Compressible Flow and Application to Mesh Adaptation
... our goal-based adaptive method starting from a quasi-uniform mesh containing about 16 000 ...the error committed on our scalar functional ...the goal-oriented mesh adaptation as an indirect ...
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Finite-volume goal-oriented mesh adaptation for aerodynamics using functional derivative with respect to nodal coordinates
... The proposed method and the previously quoted contributions to the field of finite-volume output-based refinement perform isotropic adaptation that is generally satisfactory for Euler flow simulations. For the sake of ...
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A goal-oriented finite element method and its extension to pgd reduced-order modeling
... mind, goal-oriented error estimation and adaptive methods [78, 82], whose predominant instance is the dual-weighted residual method [20], have been developed since the late nineties in order to ...
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Goal-oriented model adaptivity in stochastic elastodynamics: simultaneous control of discretisation, surrogate model and sampling errors
... UQ error separately and sensitivity analysis on the discretisation bound [20, 21, 22], (ii) the extension of goal-oriented error estimators to stochastic frameworks to obtain bounds [23, 24, ...
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Goal-oriented agents in a market
... are goal-oriented allows to discuss how the matching and the contracts depend on the scarcity or abundance of this type of agents in the ...the goal is achieved in a different market than the one we ...
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Goal Driven Analysis of cDNA Microarray Data
... Abstract— Microarray technology has been used extensively for high throughput gene expression studies. Many bioinformatics tools are available for analysis of microarray data. In the data mining process, it is important ...
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Data structure repair using goal-directed reasoning
... 4.3 Consistency Constraint Language. 4.3.3 Restrictions on Basic Propositions. 4.4 Desugaring Set and Relation Declarations 4.5 Language Design Rationale.. Example Struct[r] ...
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Cryptographic error correction
... In our cryptographic construction of a coding scheme, the sender keeps a secret key, maintains some local state between each encoding, and the channel is assumed t[r] ...
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Oriented Patterns Synthesis
... synthesize oriented patterns such as elongated ...structures. Oriented and directional decompo- sitions [28, 6, 20] allow a fine tuning of the decomposition that enhances the results of synthesis [8] with ...
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Oriented Interval Greedoids
... Proof. Lemma 4.1.2 shows this is a semigroup morphism. The morphism is sur- jective by definition of G/X. It remains to show that the morphism is injective. Suppose con X (α) = con X (β). Then supp(α) = supp(β), which ...
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Goal-related activity in hippocampal place cells
... the goal period provides an internal feedback signal that indicates the rat has reached the right ...excess goal activity to provide such an across-cell signal including the observed tendency for syn- ...
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From Object-Oriented Applications to Component-Oriented Applications via Component-Oriented Architecture
... this goal, we must solve two problems: i) iden- tifying classes that should be grouped to form abstract com- ponents and then constructing their required and provided ...object- oriented applications ...
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Goal-Driven Unfolding of Petri Nets
... our goal-driven ...the goal transition is not ...the goal is reachable, and the empty model if ...the goal is detected as non-reachable, all the other configurations are kept in the directed ...
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Acceptability-Oriented Computing
... human error has the effect of reducing the effectiveness of the participants in the setting and, in the end, the overall quality of the sys- tem as a ...the error detection and compensation mechanisms, ...
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Using goal-driven assistants for software visualization
... class, which means they have high cohesion, which translates to a low LCOM. It also means they are quite simple classes, which suggests they have simple inheritance trees, which translates to a low DIT. Now, that we ...
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Memory-Augmented Reinforcement Learning for Image-Goal Navigation
... RL-based Navigation. Another popular class of methods involves training deep models with reinforcement learning to solve navigation tasks without an explicit world represen- tation. They use end-to-end frameworks with ...
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Experience with Goal-Scenario Coupling in Requirements Engineering
... Issues 7 : Discovering Full System Functionality (Use cases) Evidently, the discovery of full system functionality is of the essence. However, it seems to us that stakeholders have a tendency to concentrate on the most ...
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Handling Regulatory Goal Model Families as Software Product Lines
... resulting goal model ...to goal modeling (see section 7), to the best of our knowledge, none of them tackles the problem of handling a highly variable goal model ...a goal model to guide ...
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Goal-Based Collective Decisions: Axiomatics and Computational Complexity
... Related work. Judgment aggregation can be seen as goal-based voting in which individuals express single- model propositional goals. This is particularly evident in the binary aggregation model [10, 15], and is ...
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Goal-Based Collective Decisions: Axiomatics and Computational Complexity
... Γ = (γ1, . . . , γm+1, γm+2, . . . , γ2m+1) be a profile such that γ1 = · · · = γm+1 = ϕ and γm+2 = p1, . . . , γ2m+1 = pm. We have that Approval (Γ) ⊆ Mod(ϕ), since a strict ma- jority of 2m+1 m+1 agents already ...
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