2021
DOI: 10.2478/amns.2021.1.00065
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Financial accounting measurement model based on numerical analysis of rigid normal differential equation and rigid generalised functional equation

Abstract: In order to solve the problems of financial accounting measurement quickly and accurately, this paper starts the analysis from the perspective of mathematics and finance and establishes the differential equation and the generalised functional equation for the related numerical analysis through mathematical knowledge. The results show that the limit and integral of rigid differential equation and the rigid generalised functional equation can improve their role and status in the financial accounting measurement … Show more

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Cited by 4 publications
(2 citation statements)
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“…Recently, some researchers presented physical examples of delay diferential equations, like the periodic oscillation of respiration frequency within constant conditions [29][30][31][32][33]. Tis delay is produced by cardiorespiratory inefciency in the biological circuit commanding the CO 2 level in the blood [34,35]. Furthermore, some applications of DDEs are in biological sciences.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, some researchers presented physical examples of delay diferential equations, like the periodic oscillation of respiration frequency within constant conditions [29][30][31][32][33]. Tis delay is produced by cardiorespiratory inefciency in the biological circuit commanding the CO 2 level in the blood [34,35]. Furthermore, some applications of DDEs are in biological sciences.…”
Section: Introductionmentioning
confidence: 99%
“…Te SPDDE used reproducing kernel technique (RKM) and cannot obtain better approximate solutions. Now, the singularly perturbed DDE used a piecewise reproducing kernel technique to approximate the numerical solution [35]. Te linear singular perturbed diferential equation with delay in the convection term is changed into a linearized delay term by utilizing two-term Taylor series expansion.…”
Section: Introductionmentioning
confidence: 99%