Combining bottom-up and top-down

Combining Bottom-Up and Top-Down

We motivate the formulation of market equilibrium as a mixed complementarity problem which explicitly represents weak inequalities and complementarity between decision variables and equilibrium conditions. The complementarity format permits an energy-economy model to combine technological detail of a bottom-up energy system with a second-best characterization of the overall economy. Our primary...

Bottom-up, top-down

Combining Top-Down and Bottom-Up Techniques in Program Derivation

The traditional stepwise refinement based program derivation methodologies are primarily top-down. Strictly following the topdown program derivation approach may require backtracking resulting in rework. Moreover, the top down approach does not directly help in suggesting the next course of action in case of a failed derivation attempt. In this work we seamlessly incorporate a bottom up assumpt...

Combining Top-down and Bottom-up Enterprise Modelling

Modeling approaches started to be used in a large scale around 40 years ago, using simple diagrams. Still the main focus in modelling is for intermediaries to document the knowledge as held by different stakeholders for further use, rather than for people that has the core knowledge themselves to use modeling for their own needs. Although top-down modeling by experts is useful e.g. for enterpri...

An Attentional System Combining Top-Down and Bottom-Up Influences

Attention plays an important role in human processing of sensory information as a mean of focusing resources towards the most important inputs at the moment. In vision it has been argued attentional processes are crucial for dealing with the complexity of real world scenes. The problem has often been posed in terms of visual search tasks. It has been shown that both the use of prior task and co...