The mean squared error minimization smoothing constant's value can be found using a nonlinear optimization process.
Although the linear programming model is effective in many nonlinear optimization circumstances, it is insufficient to accurately model some issues. An illustration would be the isoperimetric problem, which asks you to identify the closed plane curve with the maximum area and a minimization given length. Pappus of Alexandria had access to the solution but not the proof. 340 CE.
The Swiss mathematician Johann Bernoulli challenged himself in 1696 to find the curve that minimizes the time it takes an object to slide, using minimization only the force of gravity, between two nonvertical points. This challenge marked the beginning of the branch of mathematics known as the nonlinear optimization calculus of variations. Along with Johann Bernoulli, the correct answers were also provided by his brother Jakob Bernoulli, the German Gottfried Wilhelm Leibniz, and the Englishman Isaac Newton. (The solution is the brachistochrone.) Many nonlinear algorithms, in particular, heavily rely on Newton's method of solving the problem.
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Answer:
zero
Explanation:
The activity in this scenario is fund raising/ issue note to a bank which is booked in financing activities, not in operating activities.
Thus we can said "there's no operating activity in Madison Company cash flow of 2016" if there's no other information.
Answer:
D. A firm's weighted average cost of capital decreases as the firm's debt-equity ratio increases.
Answer:
a. $8,000 gain
Explanation:
The face value of the bonds purchased by Pluto Corporation are $120,000. The bonds are purchased at discount of $1,980. The bonds have carrying value of $126,019 at the time of purchase. The net gain or loss is calculated by the difference between two values.
$120,000 - $126,019 - $6,019
The discount amount of the bond was $1,980.
Total gain on the bonds approximately ($6,019 + $1,980) = $8,000
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