Search results
Results From The WOW.Com Content Network
In project management, resource smoothing is defined by A Guide to the Project Management Body of Knowledge (PMBOK Guide) as a "resource optimization technique in which free and total float are used without affecting the critical path" of a project. [1]
The Fanning friction factor (named after American engineer John T. Fanning) is a dimensionless number used as a local parameter in continuum mechanics calculations. It is defined as the ratio between the local shear stress and the local flow kinetic energy density: [1] [2]
Muzzle of a Rheinmetall 120 mm L/55 tank gun on a Spanish Leopard 2E. The Rheinmetall Rh-120 is a 120 mm smoothbore tank gun designed and produced in former West Germany by the Rheinmetall Waffe Munition GmbH company.
In addition, log structures serve to define the mixed Hodge structure on any smooth complex variety X, by taking a compactification with boundary a normal crossings divisor D, and writing down the corresponding logarithmic de Rham complex. [2] Log objects also naturally appear as the objects at the boundary of moduli spaces, i.e. from ...
The "box" is a cylindrical assembly, typically of bronze, comprising a sleeve threaded on one end to accept adjusting and locking nuts. A special purpose heavy-duty rubber hose attaches the stuffing box to a stern tube, also called a shaft log, that projects inward from the hull.
The "moving average filter" is a trivial example of a Savitzky–Golay filter that is commonly used with time series data to smooth out short-term fluctuations and highlight longer-term trends or cycles. Each subset of the data set is fit with a straight horizontal line as opposed to a higher order polynomial.
Every irreducible complex algebraic curve is birational to a unique smooth projective curve, so the theory for curves is trivial. The case of surfaces was first investigated by the geometers of the Italian school around 1900; the contraction theorem of Guido Castelnuovo essentially describes the process of constructing a minimal model of any smooth projective surface.
The resulting function is smooth, and the problem with the biased boundary points is reduced. Local linear regression can be applied to any-dimensional space, though the question of what is a local neighborhood becomes more complicated. It is common to use k nearest training points to a test point to fit the local linear regression.