Diffe : An on-line differential-equation-solving routine with automatically scaled display

1969 ◽  
Vol 11 (3) ◽  
pp. 124-130
Author(s):  
A. Trevor ◽  
J.V. Wait
2017 ◽  
Vol 33 (6) ◽  
pp. 3871-3881 ◽  
Author(s):  
Jorge Cervantes ◽  
Wen Yu ◽  
Sergio Salazar

1984 ◽  
Vol 21 (04) ◽  
pp. 384-388
Author(s):  
John C. Clements

This work is concerned with the application of a new isometric mapping algorithm to hull plate expansion procedures for ships with all or portions of the hull consisting of developable surfaces. The expansion procedure is based on the relationship between the ruling lines r⇀(s) generating the developable surface S⇀(s,t) and one additional geodesic g⇀(s) constructed within the surface as the solution of the differential equation det(g⇀'g⇀"n⇀) = 0 where n⇀ is the unit normal to S⇀ at g⇀. Precise accuracy control is achieved through the use of adaptive numerical quadrature and a variable stepsize differential equation solving routine.


SoftwareX ◽  
2019 ◽  
Vol 10 ◽  
pp. 100297
Author(s):  
Ioannis G. Tsoulos ◽  
Alexandros Tzallas ◽  
Dimitris Tsalikakis

2009 ◽  
Vol 18 (05) ◽  
pp. 985-991 ◽  
Author(s):  
K. NAKKEERAN

We show that the working principle of the differential equation solving analog electrical circuits is exactly the same as the Picard's method available for numerically solving the ordinary differential equations. The integrator circuit (low-pass filter) uses an initial condition and electrical input signal to generate the Maclaurin's series of a time varying function in recursion. This direct connection between the differential equation solving electrical circuits and Picard's method can be exploited to simplify the procedure of Picard's method to solve any order linear and nonlinear differential equations.


Author(s):  
William Krakow

In the past few years on-line digital television frame store devices coupled to computers have been employed to attempt to measure the microscope parameters of defocus and astigmatism. The ultimate goal of such tasks is to fully adjust the operating parameters of the microscope and obtain an optimum image for viewing in terms of its information content. The initial approach to this problem, for high resolution TEM imaging, was to obtain the power spectrum from the Fourier transform of an image, find the contrast transfer function oscillation maxima, and subsequently correct the image. This technique requires a fast computer, a direct memory access device and even an array processor to accomplish these tasks on limited size arrays in a few seconds per image. It is not clear that the power spectrum could be used for more than defocus correction since the correction of astigmatism is a formidable problem of pattern recognition.


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