Here we list some ways to use scilab to do some linear algebra problems.
See also the ti89.txt page for similar hints using the ti89 to solve similar
problems.

from scilab-commands.txt
matrix
	a = [1, 2, 3; 4, 5, 6]
answer is surrounded by ! symbols
	! 1. 2. 3. !
	! 4. 5. 6. !

sum(a, 'c') adds the terms along each row?
	! 6. !
	!15. !

sum(a, 'r') adds the terms along each column?
	! 5. 7. 9. !

diag(a) the entries along the diagonal
	! 1. !
	! 5. !

rref(a) row reduce
!   1.    0.  - 1. !
!   0.    1.    2. !

subscripts with ( , )
a(2,3)
	yields 6

assign 8
a(2, 3) = 8
!   1.    2.    3. !
!   4.    5.    8. !


colon
1:10 
! 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. !

10:-2:0
! 10. 8. 6. 4. 2. 0. !

a(1:2,3)
gives the 3 column

So does a(:, 3)


conjugate transpose a'

a*a' or a'*a

inverse b^(-1)

b^n power

sqrt(-1) is %i, %pi is pi, %e is e, %inf is oo, %t is true

abs is complex abs value

zeros(3,4)

ones(3,4)

eye(3,3)

rand(3,4)

concatenation a = [1, 2;3, 4]; b=[2, 0;0,2]; augment is [a, b]

plot(x,y)
	x = 0:0.05:2*pi
	y =sin(x)

det(a) determinant

inv(a) inverse

the dot operators .*

not equal is ~= 

spec is spectrum

[v,d]=spec(a)

real(a+b*%i) is `a'

imag(a+b*%i) is `b'

abs(a+b*%i) is sqrt(a^2 + b^2)