Update tutorial.md

Author: arnavk23

docs/src/tutorial.md

@@ -1,68 +1 @@
-# Tutorial
-
-This page follows the Documenter.jl tutorial layout. It includes runnable examples for common usage patterns in LinearOperators.jl.
-
-```@contents
-Pages = ["tutorial.md"]
-```
-
-## Getting started
-
-Calling into LinearOperators is simple:
-
-```@docs
-using LinearOperators
-```
-
-## Simple examples
-
-Construct an operator from a matrix and use it like a matrix:
-
-```@example ex_matrix
-using LinearOperators
-
-A = [1.0 2.0; 3.0 4.0]
-op = LinearOperator(A)
-y = op * [1.0, 1.0]
-M = Matrix(op)
-println("y = ", y)
-println("Matrix(op) = \n", M)
-```
-
-Create function-based operators (showing the 5-arg mul! signature):
-
-```@example ex_fun
-n = 4
-function mymul!(res, v, α, β)
-    if β == 0
-        res .= α .* v .* (1:n)
-    else
-        res .= α .* v .* (1:n) .+ β .* res
-    end
-end
-opfun = LinearOperator(Float64, n, n, false, false, mymul!)
-println(opfun * ones(n))
-```
-
-Diagonal operators (use `opDiagonal`):
-
-```@example ex_diag
-d = [2.0, 3.0, 4.0]
-D = opDiagonal(d)
-println(D * ones(3))
-```
-
-Composing operators with vertical concatenation:
-
-```@example ex_cat
-A = rand(3,3); B = rand(3,3)
-opA = LinearOperator(A); opB = LinearOperator(B)
-opcat = [opA; opB]
-println(size(opcat))
-```
-
-## Return values and tips
-
-- The `LinearOperator` type implements `*` and can be converted to a `Matrix` when necessary.
-- Prefer function-based operators when you want to avoid materializing large matrices.
-- See the full introduction: [Introduction to LinearOperators.jl](https://jso.dev/tutorials/introduction-to-linear-operators/)
+You can check an [Introduction to LinearOperators.jl](https://jso.dev/tutorials/introduction-to-linear-operators/) on our site, [jso.dev](https://jso.dev/).