Sentence examples for difficult gradient from inspiring English sources

25 May 2009 — Pergola to Monte Petrano, 237 km This stage was extremely climbing-intensive, with three categorized high mountains, including a mountaintop finish with a very difficult gradient at Monte Petrano, and a smaller climb about a third of the way into the stage.

Planning and design of buildings in a hill settlement are tedious and challenging task due to difficult terrain, steep gradient, adverse climatic conditions, rich flora and proneness to natural hazards.

For many subtypes, it was difficult to assess gradients in risk by age because there were fewer than three cases diagnosed among those aged <20 years at transplant.

Due to the penalty terms, the physically realistic gradient-based solutions were located within a narrow "channel" in design space that was difficult to enter without gradient information.

However the modeling of this functional gradient is difficult through micromechanics models without discretizing the gradient into numerous layers of varying properties.

According to performance demands of tool materials for high speed machining difficult to cut materials, gradient cermet composite tool materials were designed and fabricated based on hot pressing sintering after dry pressing.

However, in our case, it is very difficult to obtain the gradient of E ( ζ k i ) with respect to P k i, that is, it is difficult to obtain the exact ∇Θ k.

The Panzer units launching a pursuit along the road leading across the pass made slow progress because of the steep gradient and difficult hairpin bends.

Such a gradient is difficult to explain on a simple afferent connectivity basis, as the primate's spinothalamic system projects in similar proportions to the granular insula and its adjacent operculum.

While it is difficult to establish a gradient when dealing with only four neighbourhoods, the West End represents the most affluent neighbourhood in the Glasgow study and Greater Pollok the most deprived.

It is well known that nonlinear dynamic response optimization using a conventional optimization algorithm is fairly difficult and expensive for the gradient or non-gradient based optimization methods because many nonlinear dynamic analyses are required.