How do you pronounce orthogonality in English (1 out of 56).

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Translation of orthogonality

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IPA (International Phonetic Alphabet) of orthogonality

The International Phonetic Alphabet (IPA) is an alphabetic system of phonetic notation based primarily on the Latin alphabet. With phonetic transcriptions, dictionarie tell you about the pronunciation of words, because the spelling of an English word does not tell you how you should pronounce it. Below is the phonetic transcription of orthogonality:

Derived Form of orthogonality

plural: orthogonalities
the relation of opposition between things at right angles
Synonymsperpendicularity, orthogonal opposition,
Type ofopposition,
the quality of lying or intersecting at right angles
Type ofoblongness, rectangularity,

orthogonality on Youtube

  1. The second theory is within CEV and that is orthogonality thesis.
  2. And because of orthogonality thesis it will tackle any problem.
  3. So on the one hand, you have the orthogonality thesis,
  4. you will see linear algebra from the point of view of orthogonality, and you will discover
  5. the orthogonality point of view, we discover one way of solving this problem. The following
  6. Instead of looking to the system in that way, we are going to put our orthogonality glasses
  7. and use orthogonality to write this system in a different form. Look, the first equation
  8. on the orthogonality concept. This permits you to see these problems from a new perspective.
  9. One is the orthogonality and inner product
  10. OK, but first, we forgot to talk about orthogonality and
  11. We can define orthogonality, this is another definition, in
  12. product orthogonality.
  13. I've just got to test orthogonality to each of these
  14. bit about orthogonality.
  15. orthogonality relations. So, this is the place where
  16. that's called the orthogonality condition on minus pi to pi.
  17. So, the way the proof of these orthogonality conditions goes,
  18. prove the orthogonality relationship.
  19. the orthogonality relations. They are all of the form,
  20. to use this concept and this idea because of the property of orthogonality of the matrix,