andle requests, which is pretty
> cool.
>
> If you check here: http://genieframework.com/packages (built with Genie
> btw) you’ll find a few more options - like Merly and Bukdu.
>
> Other than that you have the low(er) level components: Mux, HttpServer,
> WebSockets.
&g
Hi all,
What is the current state of web programming with Julia?
http://juliawebstack.org/ seems quite out of date (still suggesting to use
Morsel, which is marked as deprecated).
Escher looks quite nice (https://github.com/shashi/Escher.jl), but still
fails to build on both 0.4 and 0.5
Use x and u[7], u[8], u[9], and u[10] to write directly to du
> nothing
> end
>
> should be a good way to write the function for Sundials.jl,
> DifferentialEquations.jl, ODE.jl (after the iterator PR).
>
> On Sunday, October 2, 2016 at 5:43:01 AM UTC-7, Alexey Cherkaev wrote:
I have the model where it is convenient to represent one of the variables
as a matrix. This variable, however, is obtained as a solution of ODEs
(among other variables). I'm using Sundials to solve ODEs and
`Sundials.cvode` requires the ODE RHS function to take a vector. So, it
seems logical
I'm writing RadauIIA (for now, fixed order 5 with 3 points) method for ODE
BVP (basically, collocation method). In the process, I construct an overall
non-linear equation that needs to be solved. It takes "mega-vector" x[j] as
an argument. However, internally it is more convenient to reshape it
I have encountered a rather strange error as I'm trying to create a wrapper
for Fortran's TWPBVP (ODE BVP) solver.
Full code is available at https://github.com/mobius-eng/TWPBVP.jl
After downloading (to julia's package directory), run
Pkg.build("TWPBVP")
and
Pkg.test("TWPBVP")
The issue
at 3:49:55 PM UTC+2, Ángel de Vicente wrote:
>
> Hi,
>
> Alexey Cherkaev <alexey@gmail.com > writes:
> > To cut long story short, I have a problem of passing floating-point
> numbers from
> > Julia to Fortran subroutine. Documentation suggests, that each parame
Found the problem: "double precision" on my machine (presumably, any 64-bit
machine) with "-fdefault-real-8" flag will be "real*16" (something like
non-existent "Float128" in Julia).
On Wednesday, November 9, 2016 at 4:05:59 PM UTC+2, Alexey Cherkaev w
Hi all!
Consider example:
# collect to produce vectors - not strictly necessary though
y = collect(linspace(0.0, 1.0, 1000))
z = collect(linspace(0.5,3.0, 1000))
x = zeros(Float64, 1000)
If I do
@time x .= sin.(y)
The timing output is
0.57 seconds (7 allocations: 208 bytes)
So, OK,
Ay, how many times I've done it! Still forget about global variables!
OK, I see now about `.+` and friends.
Thanks!
On Friday, October 21, 2016 at 3:59:59 AM UTC+2, Steven G. Johnson wrote:
>
> Putting things into a function to avoid benchmarking in global scope:
>
>
> foo!(x,y) = x .=
eshape makes a view, and views are cheap. Don't worry about this.
>
> BTW, I would love to add a collocation method to JuliaDiffEq. Would you
> consider making this a package?
>
> On Sunday, October 30, 2016 at 3:52:37 AM UTC-7, Alexey Cherkaev wrote:
>>
>> I'm writing
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