Usage of “optimize”
Say I want to maximize the production of corn by controlling factors X, Y, Z. In english, do I say 1) I want to optimize corn yield/production (optimal response) OR 2) I want to optimize the level of X,Y,Z to maximize corn yield (optimal factors)? Please advise, thank you.
word-usage vocabulary
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Say I want to maximize the production of corn by controlling factors X, Y, Z. In english, do I say 1) I want to optimize corn yield/production (optimal response) OR 2) I want to optimize the level of X,Y,Z to maximize corn yield (optimal factors)? Please advise, thank you.
word-usage vocabulary
New contributor
If you want to maximize production, the implication is you want production to be as high as possible, regardless of financial, sociological, etc. ramifications (consider Nick Bostrom,'s paperclip maximizer as the canonical thought experiment showing how an artificial general intelligence might go seriously wrong). But if you want to optimize production, the implication is you want to do it in the best possible way (probably with some sensible upper limit! :)
– FumbleFingers
5 hours ago
add a comment |
Say I want to maximize the production of corn by controlling factors X, Y, Z. In english, do I say 1) I want to optimize corn yield/production (optimal response) OR 2) I want to optimize the level of X,Y,Z to maximize corn yield (optimal factors)? Please advise, thank you.
word-usage vocabulary
New contributor
Say I want to maximize the production of corn by controlling factors X, Y, Z. In english, do I say 1) I want to optimize corn yield/production (optimal response) OR 2) I want to optimize the level of X,Y,Z to maximize corn yield (optimal factors)? Please advise, thank you.
word-usage vocabulary
word-usage vocabulary
New contributor
New contributor
New contributor
asked 6 hours ago
y chungy chung
1011
1011
New contributor
New contributor
If you want to maximize production, the implication is you want production to be as high as possible, regardless of financial, sociological, etc. ramifications (consider Nick Bostrom,'s paperclip maximizer as the canonical thought experiment showing how an artificial general intelligence might go seriously wrong). But if you want to optimize production, the implication is you want to do it in the best possible way (probably with some sensible upper limit! :)
– FumbleFingers
5 hours ago
add a comment |
If you want to maximize production, the implication is you want production to be as high as possible, regardless of financial, sociological, etc. ramifications (consider Nick Bostrom,'s paperclip maximizer as the canonical thought experiment showing how an artificial general intelligence might go seriously wrong). But if you want to optimize production, the implication is you want to do it in the best possible way (probably with some sensible upper limit! :)
– FumbleFingers
5 hours ago
If you want to maximize production, the implication is you want production to be as high as possible, regardless of financial, sociological, etc. ramifications (consider Nick Bostrom,'s paperclip maximizer as the canonical thought experiment showing how an artificial general intelligence might go seriously wrong). But if you want to optimize production, the implication is you want to do it in the best possible way (probably with some sensible upper limit! :)
– FumbleFingers
5 hours ago
If you want to maximize production, the implication is you want production to be as high as possible, regardless of financial, sociological, etc. ramifications (consider Nick Bostrom,'s paperclip maximizer as the canonical thought experiment showing how an artificial general intelligence might go seriously wrong). But if you want to optimize production, the implication is you want to do it in the best possible way (probably with some sensible upper limit! :)
– FumbleFingers
5 hours ago
add a comment |
1 Answer
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Solving an optimization problem
max/min corn(X,Y,Z)
(X,Y,Z) in A,
fully, consists in finding two things:
Finding the max/min possible value that the function
corn
can attain under the restriction that(X,Y,Z)
is inA
.Finding all the points of
A
for which that maximum/minimum is attained.
Note that once you have the latter, then the optimal values can be obtained by evaluating the objective function. If, on the other hand, you have the optimal values, then the set of optimizing points can be found by solving an equation (inverting the objective function).
In this sense, when you have one, you can produce the other. The problem is essentially solved.
This is why both options, (1) and (2), are used to refer to solving the same problem. One optimizes both the values of the objective function and the values of the variables.
New contributor
This answer is an attempt to solve the mathematical problem presented in the question rather than solving the English language problem that was intended.
– KillingTime
3 hours ago
@KillingTime You clearly have no idea what this answer is saying. This answer explains why optimize refers to both finding optimal values of the objective function and finding optimizing points for the parameters. It explains why finding either of them can be considered as the full problem being solved. This explains why the language refers to the optimization problem as either of the two parts of the full solution.
– user647486
2 hours ago
add a comment |
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1 Answer
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1 Answer
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active
oldest
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oldest
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active
oldest
votes
Solving an optimization problem
max/min corn(X,Y,Z)
(X,Y,Z) in A,
fully, consists in finding two things:
Finding the max/min possible value that the function
corn
can attain under the restriction that(X,Y,Z)
is inA
.Finding all the points of
A
for which that maximum/minimum is attained.
Note that once you have the latter, then the optimal values can be obtained by evaluating the objective function. If, on the other hand, you have the optimal values, then the set of optimizing points can be found by solving an equation (inverting the objective function).
In this sense, when you have one, you can produce the other. The problem is essentially solved.
This is why both options, (1) and (2), are used to refer to solving the same problem. One optimizes both the values of the objective function and the values of the variables.
New contributor
This answer is an attempt to solve the mathematical problem presented in the question rather than solving the English language problem that was intended.
– KillingTime
3 hours ago
@KillingTime You clearly have no idea what this answer is saying. This answer explains why optimize refers to both finding optimal values of the objective function and finding optimizing points for the parameters. It explains why finding either of them can be considered as the full problem being solved. This explains why the language refers to the optimization problem as either of the two parts of the full solution.
– user647486
2 hours ago
add a comment |
Solving an optimization problem
max/min corn(X,Y,Z)
(X,Y,Z) in A,
fully, consists in finding two things:
Finding the max/min possible value that the function
corn
can attain under the restriction that(X,Y,Z)
is inA
.Finding all the points of
A
for which that maximum/minimum is attained.
Note that once you have the latter, then the optimal values can be obtained by evaluating the objective function. If, on the other hand, you have the optimal values, then the set of optimizing points can be found by solving an equation (inverting the objective function).
In this sense, when you have one, you can produce the other. The problem is essentially solved.
This is why both options, (1) and (2), are used to refer to solving the same problem. One optimizes both the values of the objective function and the values of the variables.
New contributor
This answer is an attempt to solve the mathematical problem presented in the question rather than solving the English language problem that was intended.
– KillingTime
3 hours ago
@KillingTime You clearly have no idea what this answer is saying. This answer explains why optimize refers to both finding optimal values of the objective function and finding optimizing points for the parameters. It explains why finding either of them can be considered as the full problem being solved. This explains why the language refers to the optimization problem as either of the two parts of the full solution.
– user647486
2 hours ago
add a comment |
Solving an optimization problem
max/min corn(X,Y,Z)
(X,Y,Z) in A,
fully, consists in finding two things:
Finding the max/min possible value that the function
corn
can attain under the restriction that(X,Y,Z)
is inA
.Finding all the points of
A
for which that maximum/minimum is attained.
Note that once you have the latter, then the optimal values can be obtained by evaluating the objective function. If, on the other hand, you have the optimal values, then the set of optimizing points can be found by solving an equation (inverting the objective function).
In this sense, when you have one, you can produce the other. The problem is essentially solved.
This is why both options, (1) and (2), are used to refer to solving the same problem. One optimizes both the values of the objective function and the values of the variables.
New contributor
Solving an optimization problem
max/min corn(X,Y,Z)
(X,Y,Z) in A,
fully, consists in finding two things:
Finding the max/min possible value that the function
corn
can attain under the restriction that(X,Y,Z)
is inA
.Finding all the points of
A
for which that maximum/minimum is attained.
Note that once you have the latter, then the optimal values can be obtained by evaluating the objective function. If, on the other hand, you have the optimal values, then the set of optimizing points can be found by solving an equation (inverting the objective function).
In this sense, when you have one, you can produce the other. The problem is essentially solved.
This is why both options, (1) and (2), are used to refer to solving the same problem. One optimizes both the values of the objective function and the values of the variables.
New contributor
edited 2 hours ago
New contributor
answered 4 hours ago
user647486user647486
522
522
New contributor
New contributor
This answer is an attempt to solve the mathematical problem presented in the question rather than solving the English language problem that was intended.
– KillingTime
3 hours ago
@KillingTime You clearly have no idea what this answer is saying. This answer explains why optimize refers to both finding optimal values of the objective function and finding optimizing points for the parameters. It explains why finding either of them can be considered as the full problem being solved. This explains why the language refers to the optimization problem as either of the two parts of the full solution.
– user647486
2 hours ago
add a comment |
This answer is an attempt to solve the mathematical problem presented in the question rather than solving the English language problem that was intended.
– KillingTime
3 hours ago
@KillingTime You clearly have no idea what this answer is saying. This answer explains why optimize refers to both finding optimal values of the objective function and finding optimizing points for the parameters. It explains why finding either of them can be considered as the full problem being solved. This explains why the language refers to the optimization problem as either of the two parts of the full solution.
– user647486
2 hours ago
This answer is an attempt to solve the mathematical problem presented in the question rather than solving the English language problem that was intended.
– KillingTime
3 hours ago
This answer is an attempt to solve the mathematical problem presented in the question rather than solving the English language problem that was intended.
– KillingTime
3 hours ago
@KillingTime You clearly have no idea what this answer is saying. This answer explains why optimize refers to both finding optimal values of the objective function and finding optimizing points for the parameters. It explains why finding either of them can be considered as the full problem being solved. This explains why the language refers to the optimization problem as either of the two parts of the full solution.
– user647486
2 hours ago
@KillingTime You clearly have no idea what this answer is saying. This answer explains why optimize refers to both finding optimal values of the objective function and finding optimizing points for the parameters. It explains why finding either of them can be considered as the full problem being solved. This explains why the language refers to the optimization problem as either of the two parts of the full solution.
– user647486
2 hours ago
add a comment |
y chung is a new contributor. Be nice, and check out our Code of Conduct.
y chung is a new contributor. Be nice, and check out our Code of Conduct.
y chung is a new contributor. Be nice, and check out our Code of Conduct.
y chung is a new contributor. Be nice, and check out our Code of Conduct.
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If you want to maximize production, the implication is you want production to be as high as possible, regardless of financial, sociological, etc. ramifications (consider Nick Bostrom,'s paperclip maximizer as the canonical thought experiment showing how an artificial general intelligence might go seriously wrong). But if you want to optimize production, the implication is you want to do it in the best possible way (probably with some sensible upper limit! :)
– FumbleFingers
5 hours ago