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F1
Exit |
F2
Vectors |
F3
Matrix |
F4
Basis |
F5
Read about.. |
F6
Stepwise |
F7
Edit/View |
1 |
About |
Read Intro to
Vectors |
Find k*A |
Find
Kernel(A) |
Do
Matrix Transformations: Rotation, reflection,scaling,
translation, etc 2D, 3D - stepwise. |
Find EigenValues |
Enter Matrix A ( row-wise entry) |
2 |
Exit |
Graph vectors A or
A+B |
Find A+B |
Find
Range(A) |
Linear Transformations |
Find EigenVectors |
Enter Matrix B (row-wise entry) |
3 |
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Given 2 points |
Find A-B |
Orthonormal Basis(A) |
VectorSpace(A) |
Complex Numbers |
View
Matrix A |
4 |
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Find Length of A |
Find A*B |
Nullity(A) |
SubSpace(A) |
Find Inverse(A) |
View
Matrix B |
5 |
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Find UnitVector of
A: A/|A| |
Find B*A |
NullSpace of A |
NullSpace(A) |
Find Determinant(A) |
Swap
Matrix
A with B |
6 |
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Find Angle between
Vector A and x-axis. |
Find Determinant(A) |
NullSpace Basis of A |
ColumnSubSpace |
Rule
of Sarrus(A) |
View
AT |
7 |
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Convert Vector to
Polar Coordinates |
Find A-1 |
RowSpace Basis of A |
Kernel |
RowEchelon(A) |
Save
AT as A |
8 |
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Find Angle between
Vectors A and B |
Find rank(A) |
Col. Space Basis of A |
Linear Combinations |
Gauss Elimination(A) |
View
BT |
9 |
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Find DotProduct of
A and B |
Find An |
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Spanning Sets |
ReverseRef(A) |
Save BT
as B |
A |
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Test Orthogonality |
Find Trace of A |
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Basis&Dimensions |
Gauss-Jordan Elimination(A) |
Create Random Matrix A |
B |
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Find CrossProduct
of A and B |
Multiply Row of A |
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Linear
Independence |
Gram
Schmidt(A) |
Create Random Matrix B |
C |
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Find Orthogonal Vector
|
Multiply Row of A and
add to other row |
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Test Independence |
A=LU
Decomposition |
Swap 2 rows(A) |
D |
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Test Independence |
Multiply Row of
A and subtract other row |
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Cramer Rule |
Swap 2 rows(B) |
E |
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Distance A to B |
Solve
AX=B |
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Solve any 2x2
system, show steps, graph solution |
Augment
A |
F |
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Project A onto B |
Solve
AX=B with Parameter p |
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Solve any nxn
system using Matrices A and B. |
Augment
B |
G |
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Find Distance from Point to Plane |
Find Conjugate of
A |
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Simplex Algorithm
(A)
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Select
SubMatrix
of A |
H |
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Find Plane |
Find Eigenvalue of
A |
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Find Square
Root (A) |
Select
SubMatrix
of B |
I |
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Vector Differentiation |
Find Eigenvector of
A |
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Diagonalization(A) = P*A*P-1 |
View
Diagonal of A |
J |
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Vector Integration |
Cofactor(A) |
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Find Kernel(A) |
View
Diagonal of B |
K |
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Circle/Sphere Equation |
Adjugate(A) |
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Find Range(A) |
Show
Row
Dimensions of A |
L |
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Find Tangent and Normal UnitVector
along Tangent Line |
Find Norm of A |
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Do Matrix Transformations:
Rotation, reflection,scaling, translation, etc 2D, 3D -
stepwise. |
Show
Column
Dimensions of A |
M |
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Find Norm of
each Column of A |
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Solve
AX=B containing a Parameter. Checks solutions for each case.
Steps |
Show
Row
Dimensions of B |
N |
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Find
RowNorm of A |
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Solve
AX=B containing 2 Parameters. Checks solutions for each case.
Steps |
Show
Column
Dimensions of B |
O |
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Find RowEchelonForm
of A , show steps if desired. |
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Solve
AX=B using Gauss Seidel method |
ColumnMax of A |
P |
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Find Reversed RowEchelonForm
of A, show steps if desired. |
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Cayley
Hamilton method to find inverse matrix |
ColumnMean of A |
Q |
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QR
Factorization |
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Trigonalisation
of a Matrix |
ColumnMedian of A |
R |
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LU
Factorization |
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ColumnSum of A |
S |
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Minor(A) |
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Cumulative
ColumnSum of A |
T |
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Markoff Chains |
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Round(A) |
U |
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Magic Squares |
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RoundUp(A) |
V |
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Rotate |
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RoundDown(A) |
W |
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Hilbert(A) |
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View A as list |
X |
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Pascal(A) |
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View B as list |
Y |
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Frank(A) |
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View A in Binaries |
Z |
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Cholesky(A) |
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View B in Binaries |
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Adjoint(A) |
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View A in Hexadecimals |
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View B in Hexadecimals |