Welcome to Advanced Algebra with Trig Week 13 Day 1 · U1L4 - Linear Programming Practice Day...
Transcript of Welcome to Advanced Algebra with Trig Week 13 Day 1 · U1L4 - Linear Programming Practice Day...
U1L4 Linear Programming Practice Day 247th.notebook
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Welcome to Advanced Algebra with Trig Week 13 Day 1 Turn in POW #10
Agenda:
Pop quiz PRACTICE: inequalities and linear programming
OTL: Finish POW #11 (checked for completion Thursday / Friday)
YOU WILL NOT BE PERMITTED TO TAKE THE TEST UNTIL THE POW IS COMPLETE!
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Pop quiz review:
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Write constraints & objective for this LP:
A sporting goods manufacturer produces skateboards and inline skates. Its dealers demand at least 30 skateboards per day and 20 pairs of inline skates per day. The factory can make at most 60 skateboards and 40 pairs of inline skates per day. The total number of skateboards and pairs of inline skates cannot exceed 90. The profit on each skateboard is $12 and on each pair of inline skates is $18.
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Test topics:1) Solving onevariable inequalities graph on a number line reverse the inequality symbol when multiplying or dividing by a negative
2) Solving nonlinear systems of equations substitution is usually best, OR graph (first solve for y) and find intersection(s) on calculator
3) Solving twovariable systems of inequalities graph on an xy plane shade to find region that is feasible for both / all inequalities dotted line vs. solid line, reverse the inequality symbol when multiplying or dividing by a negative number
4) Calculating maximum / minimum objectives given constraints find (use systems of equations if needed) and evaluate vertex points profit is always maximized, cost is always minimized
5) Identifying constraints given a feasible region each border is typically a separate constraint
6) Linear programming identify variables write constraints (inequalities) and objective function graph only the constraints (not the objective!) identify the feasible region / find the vertices (use systems of equations if needed) test the vertices in the objective function
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x
y
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