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  2. System of linear equations - Wikipedia

    en.wikipedia.org/wiki/System_of_linear_equations

    The solution set for the equations x − y = −1 and 3x + y = 9 is the single point (2, 3). A solution of a linear system is an assignment of values to the variables ,, …, such that each of the equations is satisfied. The set of all possible solutions is called the solution set. [5]

  3. Gaussian elimination - Wikipedia

    en.wikipedia.org/wiki/Gaussian_elimination

    For example, to solve a system of n equations for n unknowns by performing row operations on the matrix until it is in echelon form, and then solving for each unknown in reverse order, requires n(n + 1)/2 divisions, (2n 3 + 3n 2 − 5n)/6 multiplications, and (2n 3 + 3n 2 − 5n)/6 subtractions, [10] for a total of approximately 2n 3 /3 operations.

  4. Cubic equation - Wikipedia

    en.wikipedia.org/wiki/Cubic_equation

    If only one root, say r 1, is real, then r 2 and r 3 are complex conjugates, which implies that r 2 – r 3 is a purely imaginary number, and thus that (r 2 – r 3) 2 is real and negative. On the other hand, r 1 – r 2 and r 1 – r 3 are complex conjugates, and their product is real and positive. [ 23 ]

  5. Linear function - Wikipedia

    en.wikipedia.org/wiki/Linear_function

    In mathematics, the term linear function refers to two distinct but related notions: [1]. In calculus and related areas, a linear function is a function whose graph is a straight line, that is, a polynomial function of degree zero or one. [2]

  6. Change of basis - Wikipedia

    en.wikipedia.org/wiki/Change_of_basis

    Its standard basis is the basis that has as its i th element the tuple with all components equal to 0 except the i th that is 1. A basis B = ( v 1 , … , v n ) {\displaystyle B=(v_{1},\ldots ,v_{n})} of a F -vector space V defines a linear isomorphism ϕ : F n → V {\displaystyle \phi \colon F^{n}\to V} by

  7. Determinant - Wikipedia

    en.wikipedia.org/wiki/Determinant

    The above properties relating to rows (properties 24) may be replaced by the corresponding statements with respect to columns. The determinant is invariant under matrix similarity . This implies that, given a linear endomorphism of a finite-dimensional vector space , the determinant of the matrix that represents it on a basis does not depend ...

  8. No-three-in-line problem - Wikipedia

    en.wikipedia.org/wiki/No-three-in-line_problem

    Similarly to Erdős's 2D construction, this can be accomplished by using points (,, + mod ), where is a prime congruent to 3 mod 4. [20] Just as the original no-three-in-line problem can be used for two-dimensional graph drawing, one can use this three-dimensional solution to draw graphs in the three-dimensional grid.

  9. Difference quotient - Wikipedia

    en.wikipedia.org/wiki/Difference_quotient

    The difference quotient as a derivative needs no explanation, other than to point out that, since P 0 essentially equals P 1 = P 2 = ... = P ń (as the differences are infinitesimal), the Leibniz notation and derivative expressions do not distinguish P to P 0 or P ń: