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Mindmap

PARTIAL DERIVATIVES

Diego Prada Spanisch

PARTIAL DERIVATIVES

Inhalt der Mindmap

PARTIAL DERIVATIVES

  1. DEFINITION

    • It is the derivative with respect to each one of those variables keeping the others as constants.
    • The partial derivatives are useful in vector calculus, differential geometry, analytical functions, physics, mathematics, etc.
  2. CHAIN RULE

    • The rule of the chain is no more than that resulting from the derivation of the composition of 2 functions.
    • This is also known as the composition of functions and is seen more thoroughly in the algebraic calculation.
  3. GRADIENT

    • Variation of a magnitude as a function of distance, from the line where this variation is maximum.
    • In the magnitudes whose value is different in the various points of a region of space.
  4. VECTOR UNIT

    • It is the one that has module 1. To find a unit vector from any vector, we must divide the latter by its module.
  5. DIRECTIONAL DERIVATIVE

    • In mathematical analysis, the directional derivative (or derivative according to an address) of a multivariable function.
    • In the direction of a given vector, represents the rate of change of the function in the direction of said vector.

Bilder und Dateien der Mindmap

  • PARTIAL DERIVATIVES
  • PARTIAL DERIVATIVES
  • PARTIAL DERIVATIVES
  • PARTIAL DERIVATIVES
  • PARTIAL DERIVATIVES

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Beschreibung
Mindmap am PARTIAL DERIVATIVES, erstellt von Diego Prada am 23/04/2019.
Erstellt von
Diego Prada
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3
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