2018 5th International Conference on Systems and Informatics (ICSAI) 2018
DOI: 10.1109/icsai.2018.8599431
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Exemplar Different-Level Quadratic Minimization, Division-by-Zero Issue, and Comparative Solutions

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Cited by 3 publications
(3 citation statements)
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“…[21] Paper considers computing probabilities from zero divided by itself [22,23] Considers how division by zero is taught on an elementary level [24] Develops a method to avoid division by zero in Newton's Method [25] This work attempts to solve division by zero using a new form of optimization called Different-level quadratic minimization (DLQM) Equation = cosh − sinh can also be multiplied by p to give:…”
Section: Discussionmentioning
confidence: 99%
“…[21] Paper considers computing probabilities from zero divided by itself [22,23] Considers how division by zero is taught on an elementary level [24] Develops a method to avoid division by zero in Newton's Method [25] This work attempts to solve division by zero using a new form of optimization called Different-level quadratic minimization (DLQM) Equation = cosh − sinh can also be multiplied by p to give:…”
Section: Discussionmentioning
confidence: 99%
“…[19] Paper considers computing probabilities from zero divided by itself [20,21] Considers how division by zero is taught on an elementary level [22] Develops a method to avoid division by zero in Newton's Method [23] This work attempts to solve division by zero using a new form of optimization called Different-level quadratic minimization (DLQM)…”
Section: Discussionmentioning
confidence: 99%
“…[13] Paper considers computing probabilities from zero divided by itself [14,15] Considers how division by zero is taught on an elementary level [16] Develops a method to avoid division by zero in Newton's Method [17] This work attempts to solve division by zero using a new form of optimization called Different-level quadratic minimization (DLQM)…”
Section: Researchmentioning
confidence: 99%