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The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering an underlying image that has been blurred by a known point spread function. It was named after William Richardson and Leon B. Lucy , who described it independently.
Mary Tuckerman Richardson (1882–1953) married Robert Walcott in 1907. Maurice Howe Richardson, II (1886–1961) became an insurance broker. Henry B. Richardson won two Olympic bronze medals and graduated from Harvard University in 1910. Margaret Richardson married Hall Roosevelt. Wyman Richardson (1896–1953) became a physician and noted author.
[citation needed] Vesalius described a variety of hooks and retractors in the 16th century. [citation needed] Jan Mikulicz-Radecki's invention of a hinged rib spreading retractor in 1904 prompted a flurry of development of retractors in the early 20th century, culminating in 1936 in our modern device based on the design of Enrique Finochietto. [4]
A continuous map : [,] is a deformation retraction of a space X onto a subspace A if, for every x in X and a in A, (,) =, (,), (,) =.In other words, a deformation retraction is a homotopy between a retraction and the identity map on X.
Download QR code; Print/export ... When function evaluations are expensive, it may be preferable to replace the polynomial interpolation of Richardson with the ...
Retractor Surgical blade #15: Used to cut vessels or make small incisions Surgical mesh: Accessories and implants Surgical needle: Accessories and implants Surgical sponge: GIA stapler: Used to make a gastrointestinal anastamosis Linear stapler Surgical tray Suture: Tongue depressor: Tonsillotome Towel clamp Clamp Towel forceps Clamp Backhaus ...
The generalized logistic function or curve is an extension of the logistic or sigmoid functions. Originally developed for growth modelling, it allows for more flexible S-shaped curves. The function is sometimes named Richards's curve after F. J. Richards, who proposed the general form for the family of models in 1959.
A (1, 1) = Trapezoidal (f, tStart, tEnd, h, y0) % Each row of the matrix requires one call to Trapezoidal % This loops starts by filling the second row of the matrix, % since the first row was computed above for i = 1: maxRows-1 % Starting at i = 1, iterate at most maxRows - 1 times % Halve the previous value of h since this is the start of a ...