Mindmap
LAGRANGE MULTIPLIERS
Inhalt der Mindmap
LAGRANGE MULTIPLIERS
Gradient of a function:
- Is a vector whose projections on the coordinate axes
- are the corresponding partial derivatives of said function
- Is a vector whose projections on the coordinate axes
Restriction: g(Xo,Yo)=c
- find the extreme values of f(x,y)
- subject to the constraint g(Xo,Yo)=c
- find the extreme values of f(x,y)
Lagrange multiplier
- It is a procedure
- to find
- maximum values
- of functions of multiple variables subject to restrictions
- minimum values
- maximum values
- to find
- It is a procedure
Solution of system of non-linear equations
- Is a method to solve non-linear programming problems
- problems in which both the objective function and the constraint functions
- are non-linear
- problems in which both the objective function and the constraint functions
- Is a method to solve non-linear programming problems
Vector equality:
- The equality-type constraints
- do not set boundaries to the set of feasible solutions of the program
- but reduce the dimensions
- of the space where the program is defined.
- but reduce the dimensions
- do not set boundaries to the set of feasible solutions of the program
- The equality-type constraints
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- Mindmap am LAGRANGE MULTIPLIERS, erstellt von Jose Eduardo Yahuitl Aguilar am 06/04/2018.
- Erstellt von
- Jose Eduardo Yahuitl Aguilar
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