Answer:
D. at the intersection of at least two constraints.
Explanation:
Linear programming is an optimization technique which is fine for the purpose of getting the best solution such as maximizing profit or certain o 4th era quantities. It is fine by modelling real life problems into mathematical models that have linear relationships or constraints such as in the form of objective functions. In linear programming, an objective function defines the formula for quantity optimization and the goal from this is to determine variable values that maximize or minimize the objective function depending on the problem robbery solved.
Answer:
word = input('Enter a single word: ', 's');
n = length(word);
nodupWord = [];
for i = 1:n
dup = false;
c = word(i);
for j = 1:i-1
if word(j) == c
dup = true;
break;
end
end
if ~dup
nodupWord = [nodupWord, c]; %add the non-duplicate char to end
end
end
disp(['Adjusted word: ', nodupWord])
Explanation:
The code is in Python.
I wouldn’t say anything because no-one is allowed in the pilot room and also i am landing the aircraft down but the I would talk to them after the flight
Answer:
1 Introduce the problem.
2 Explain your perspective.
3 Explain your opponent's perspective. Refute their points one-by-one as you go.
4 Present your evidence.
5 Conclude your argument.
1 Introduce the problem.
2 Explain your opponent's perspective first. ...
3 Explain your perspective.
Explanation:
