Consider the following problem: max (r1 – 3)² + (r2 – 5)² subject to a+2 < 10 - 2.x1 + x2 = 5. a. Formulate the quadratic penalty function. Solve problem (2) numerically, using the quadratic penalty method; use a gradient method for solving the unconstrained problem at each iteration (here you should use either Newton method or "poor-man" Newton method). b. Solve the problem analytically using the necessary optimality conditions. Compare the theoretical and numerical solutions and comment on the result.

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Consider the following problem:
max (x1 – 3)2 + (x2 – 5)²
subject to ri+a < 10
- 2.x1 + x2 = 5.
a. Formulate the quadratic penalty function. Solve problem (2) numerically, using
the quadratic penalty method; use a gradient method for solving the unconstrained
problem at each iteration (here you should use either Newton method or "poor-man"
Newton method).
b. Solve the problem analytically using the necessary optimality conditions. Compare
the theoretical and numerical solutions and comment on the result.
Transcribed Image Text:Consider the following problem: max (x1 – 3)2 + (x2 – 5)² subject to ri+a < 10 - 2.x1 + x2 = 5. a. Formulate the quadratic penalty function. Solve problem (2) numerically, using the quadratic penalty method; use a gradient method for solving the unconstrained problem at each iteration (here you should use either Newton method or "poor-man" Newton method). b. Solve the problem analytically using the necessary optimality conditions. Compare the theoretical and numerical solutions and comment on the result.
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