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Mapa mental

LAGRANGE MULTIPLIERS

Jose Eduardo Yahuitl Aguilar Español

Contenido del mapa

LAGRANGE MULTIPLIERS

  1. Gradient of a function:

    • Is a vector whose projections on the coordinate axes
      • are the corresponding partial derivatives of said function
  2. Restriction: g(Xo,Yo)=c

    • find the extreme values of f(x,y)
      • subject to the constraint g(Xo,Yo)=c
  3. Lagrange multiplier

    • It is a procedure
      • to find
        • maximum values
          • of functions of multiple variables subject to restrictions
        • minimum values
  4. 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
  5. 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.

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Mapa Mental sobre LAGRANGE MULTIPLIERS, creado por Jose Eduardo Yahuitl Aguilar el 06/04/2018.
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