ROOT
BISECTION
FALSE-POSITION
FIXED-POINT
NEWTON-RAPHSON
SECANT
LINEAR EQUATION
CRAMER'S RULE
GAUSS ELIMINATION
GAUSS-JORDAN ELIMINATION
MATRIX INVERSION
LU DECOMPOSITION
CHOLESKY DECOMPOSITION
JACOBI ITERATION
GAUSS-SEIDEL ITERATION
INTERPOLATION
NEWTON DIVIDED-DIFFERENCES
LAGRANGE INTERPOLATION
SPLINE INTERPOLATION
EXTRAPOLATION
SIMPLE REGRESSION
MULTIPLE REGRESSION
/cramer
Definition
x
i
=
det
(
A
i
)
det
(
A
)
a
n
d
det
(
A
)
≠
0
x_i = \frac{\det(A_i)}{\det(A)}\:and\:\det(A)\neq0
x
i
=
d
e
t
(
A
)
d
e
t
(
A
i
)
an
d
det
(
A
)
=
0
Matrix
Matrix size (NxN)
Reset
[
A
]
[A]
[
A
]
a
11
a_{11}
a
11
a
12
a_{12}
a
12
a
13
a_{13}
a
13
a
21
a_{21}
a
21
a
22
a_{22}
a
22
a
23
a_{23}
a
23
a
31
a_{31}
a
31
a
32
a_{32}
a
32
a
33
a_{33}
a
33
{
x
}
\{x\}
{
x
}
x
1
x_1
x
1
x
2
x_2
x
2
x
3
x_3
x
3
[
B
]
[B]
[
B
]
=
=
=
[
B
]
[B]
[
B
]
b
1
b_1
b
1
b
2
b_2
b
2
b
3
b_3
b
3
Calculate