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2. Form 1040 - Wikipedia

   en.wikipedia.org/wiki/Form_1040

   Form 1040-X (officially, the "Amended U.S. Individual Tax Return") is used to make corrections on Form 1040, Form 1040A, and Form 1040EZ tax returns that have been previously filed (note: forms 1040-A and 1040-EZ were discontinued starting with tax year 2018, but a 1040X may still be filed amending one of these tax forms filed for previous years).

3. IRS tax forms - Wikipedia

   en.wikipedia.org/wiki/IRS_tax_forms

   As of the 2018 tax year, Form 1040, U.S. Individual Income Tax Return, is the only form used for personal (individual) federal income tax returns filed with the IRS. In prior years, it had been one of three forms (1040 [the "Long Form"], 1040A [the "Short Form"] and 1040EZ - see below for explanations of each) used for such returns.

4. File:IRS Form 1040, 2018.pdf - Wikipedia

   en.wikipedia.org/wiki/File:IRS_Form_1040,_2018.pdf

   Short title: 2018 Form 1040: Image title: U.S. Individual Income Tax Return: Author: SE:W:CAR:MP: Keywords: Fillable: Software used: Adobe LiveCycle Designer ES 9.0

5. File:Form 1040 (2021).pdf - Wikipedia

   en.wikipedia.org/wiki/File:Form_1040_(2021).pdf

   Original file (1,275 × 1,650 pixels, file size: 173 KB, MIME type: application/pdf, 2 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

6. Eigenvalue algorithm - Wikipedia

   en.wikipedia.org/wiki/Eigenvalue_algorithm

   Given an n × n square matrix A of real or complex numbers, an eigenvalue λ and its associated generalized eigenvector v are a pair obeying the relation [1] =,where v is a nonzero n × 1 column vector, I is the n × n identity matrix, k is a positive integer, and both λ and v are allowed to be complex even when A is real.l When k = 1, the vector is called simply an eigenvector, and the pair ...

7. Sylvester's formula - Wikipedia

   en.wikipedia.org/wiki/Sylvester's_formula

   In matrix theory, Sylvester's formula or Sylvester's matrix theorem (named after J. J. Sylvester) or Lagrange−Sylvester interpolation expresses an analytic function f(A) of a matrix A as a polynomial in A, in terms of the eigenvalues and eigenvectors of A.