We analyze the use of ℓ1-norm and Total Variation regularization within a model of road design to obtain sensible vertical alignments. With a dataset of twenty-three roads, we present a heuristic for choosing regularization parameters, and obtain cost bounds to establish a suitable choice for...

In order to verify the effects of machine learning in a market structure, an evolutionary model containing firms that use a genetic algorithm to decide their investment in innovative R&D was developed. These firms share the market, with two other types of firms, those with a fixed rate of...

Arguably the biggest obstacle to the realisation of India's urbanisation goals is the acute shortage of affordable housing. On an economy-wide scale, there is also growing evidence of inflated housing prices contributing to social and macro-economic problems.Since the quantity of land available...