| Plural | eigens |
eigenvalue problem
eigen vectors
eigen decomposition
eigen space
eigen value
eigen function
eigen equation
eigen behavior
eigen structure
eigen modes
the eigen values of the matrix are 2 and 5.
we need to calculate the eigen vectors for this system.
eigen decomposition is a powerful tool in data analysis.
the eigen space associated with the eigenvalue 3 is important.
eigen faces are used in facial recognition systems.
the problem involves finding the eigen structure of the matrix.
eigen values can be positive, negative, or zero.
the system's stability depends on the eigen values.
we performed eigen value analysis to understand the data.
the eigen value problem has many applications in physics.
eigen vectors are linearly independent.
eigenvalue problem
eigen vectors
eigen decomposition
eigen space
eigen value
eigen function
eigen equation
eigen behavior
eigen structure
eigen modes
the eigen values of the matrix are 2 and 5.
we need to calculate the eigen vectors for this system.
eigen decomposition is a powerful tool in data analysis.
the eigen space associated with the eigenvalue 3 is important.
eigen faces are used in facial recognition systems.
the problem involves finding the eigen structure of the matrix.
eigen values can be positive, negative, or zero.
the system's stability depends on the eigen values.
we performed eigen value analysis to understand the data.
the eigen value problem has many applications in physics.
eigen vectors are linearly independent.
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