Digital Simulation of Continuous SystemsTeaches digital simulation of continuous systems with MIMIC, DSL/90 and FORTRAN IV programming and presents the logic and construction of a simplified MIMC processor, the SIMIC processor. |
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Page 14
... partial differential equation problems . This effort makes use of the available FORMAC language and processor [ 49 ] . A research pro- gram [ 50 ] under Prof. R. Kohr's direction at the school of mechanical engineering of Purdue ...
... partial differential equation problems . This effort makes use of the available FORMAC language and processor [ 49 ] . A research pro- gram [ 50 ] under Prof. R. Kohr's direction at the school of mechanical engineering of Purdue ...
Page 165
... partial differential equation contains partial derivatives with respect to one or more independent variables . Ordinary differential equations may be linear or nonlinear . An MATHEMATICAL APPLICATIONS 165 Ordinary differential equations.
... partial differential equation contains partial derivatives with respect to one or more independent variables . Ordinary differential equations may be linear or nonlinear . An MATHEMATICAL APPLICATIONS 165 Ordinary differential equations.
Page 191
... finite difference is applied to transform a partial differential equation into a system of ordinary differential equations . 1DX ( symbol 4.00- 3.00 2.00- 1.00- -.00- - 1.00- MATHEMATICAL APPLICATIONS 191 Partial differential equations.
... finite difference is applied to transform a partial differential equation into a system of ordinary differential equations . 1DX ( symbol 4.00- 3.00 2.00- 1.00- -.00- - 1.00- MATHEMATICAL APPLICATIONS 191 Partial differential equations.
Contents
INTRODUCTION | 1 |
MIMIC PROGRAMMING | 24 |
ENGINEERING APPLICATIONS | 65 |
Copyright | |
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analog computer arguments arithmetic statement BCD array Bessel functions blank column compiler compute the solution control cards data cards data statements decimal derivatives differential equation digital analog simulation digital computer digital simulation DIMENSION double-precision DSL/90 program DTMAX DTMIN entry equal error example execution FALSE flowchart FORMAT statement formula FORTRAN program FORTRAN statements Fourier FSW statement function in Fig function name IBSYS independent variable initial conditions input integer integration subroutine logical control variable loop ment MIMIC processor MIMIC program NAMELIST numerical integration operand parameters partial differential equation periodic function phase plane plot Pol's equation Prob program in Fig Rectangular function RELERR result name routine Runge-Kutta shown in Fig shown in Table SIMIC simulation language specified stored subprogram subroutine symbol Table output terminated tion TRUE variable names waveforms WRITE Xn+1 Y₁ zero