Nonlinear Programming: Optimizing Complex Problems, Cheat Sheet of Law

A series of nonlinear programming (nlp) problems, which are optimization problems with nonlinear objective functions and/or nonlinear constraints. The problems cover a range of scenarios, including maximization and minimization tasks, with various constraints such as inequality constraints and variable restrictions. The goal is to identify the karush-kuhn-tucker (kkt) points, geometrically represent the feasible solution set, and determine the optimal solution for each problem, providing a comprehensive understanding of nlp techniques and their applications. This document would be valuable for students and researchers studying operations research, optimization, and mathematical programming, as it offers a practical and insightful exploration of nlp concepts.

Typology: Cheat Sheet

2022/2023

Uploaded on 06/01/2023

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Operations Research
NonLinear Programming
Problem 1. For the following NLP problems: identify all the KKT points, geometrically represent the set of
feasible solutions, determine the optimal solution and justify the answer.
(a) max z= 2x1+x2
s.t.: x2
1+x2
21
x10
(b) max z= (2x15)2+ (2x21)2
s.t.: x1+ 2x22
x1, x20
(c) min z= 2x1x2
s.t.: x2
1+x20
(x11)2+x250
x20
(d) max z= 2x1x2
s.t.: x1+x20
(x11)2+x250
x20
(e) min z= (x12)2+ (x22)2
s.t.: x1+x20
(x11)2+x250
x20
(f) min z=x2
1
x2
2
s.t.: (x12)2
x2+ 4 0
(g) min z=x2
1+1
2x2
2
s.t.: x1x20
x1+x20
x10
(h) min z=x2
1
x2
2
s.t.: 2x1+ 3x21
2x1+ 3x20
(i) min z=x1+ 2x2
s.t.: 2x1+ 3x26
x1, x20

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Operations Research

NonLinear Programming Problem 1. For the following NLP problems: identify all the KKT points, geometrically represent the set of

  • (a) max z = 2x 1 + x feasible solutions, determine the optimal solution and justify the answer. - s.t.: x^21 + x^22 ⩽ - x 1 ⩾ - (b) max z = (2x 1 − 5)^2 + (2x 2 − 1) - s.t.: x 1 + 2x 2 ⩽ - x 1 , x 2 ⩾
  • (c) min z = 2x 1 − x
    • s.t.: − x^21 + x 2 ⩽ - (x 1 − 1)^2 + x 2 − 5 ⩽ - − x 2 ⩽ - (d) max z = 2x 1 − x - s.t.: − x 1 + x 2 ⩽ - (x 1 − 1)^2 + x 2 − 5 ⩽ - − x 2 ⩽
  • (e) min z = (x 1 − 2)^2 + (x 2 − 2) - s.t.: − x 1 + x 2 ⩽ - (x 1 − 1)^2 + x 2 − 5 ⩽ - − x 2 ⩽ - (f ) min z = x^21 − x - s.t.: − (x 1 − 2)^2 − x 2 + 4 ⩽
  • (g) min z = x^21 +^12 x - s.t.: x 1 − x 2 ⩾ - x 1 + x 2 ⩽ - x 1 ⩽ - (h) min z = x^21 − x - s.t.: 2x 1 + 3x 2 ⩾ - 2 x 1 + 3x 2 ⩽
  • (i) min z = x 1 + 2x
    • s.t.: 2x 1 + 3x 2 ⩾ - x 1 , x 2 ⩾