Apply a second derivative to identify a critical points as a local maximum, local minimum or saddle point for a function. Suppose that one factory inputs its goods from two different plants, A and B, with different costs, 2 and 10 each respective. And suppose the price function in the market is decided as p(x, y) = 100 - x - y where x and y are the demand functions and 0 x, y < 30. Then as x = У the factory attains the maximum profit,
Apply a second derivative to identify a critical points as a local maximum, local minimum or saddle point for a function. Suppose that one factory inputs its goods from two different plants, A and B, with different costs, 2 and 10 each respective. And suppose the price function in the market is decided as p(x, y) = 100 - x - y where x and y are the demand functions and 0 x, y < 30. Then as x = У the factory attains the maximum profit,
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Transcribed Image Text:Apply a second derivative to identify a critical
points as a local maximum, local minimum or
saddle point for a function.
Suppose that one factory inputs its goods from two
different plants, A and B, with different costs, 2 and
10 each respective. And suppose the price function in
the market is decided as p(x, y) = 100 - x - y
Y are the demand functions and
0≤ x, y < 30. Then as
where and
x
x =
У
the factory attains the maximum profit,
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