| DIXMAANI | |
| LIARWHD | |
| SCHMVETT | |
| VAREIGVL | |
| MSS1 | |
| AUG2D | |
| HS79 | |
| LUKVLE8 | |
| DIXMAANJ | |
| SBRYBND |
| include("src/CUTEst.jl") | |
| using CUTEst | |
| macro dlsym(func, lib) | |
| z, zlocal = gensym(string(func)), gensym() | |
| eval(current_module(), :(global $z = C_NULL)) | |
| z = esc(z) | |
| quote | |
| let $zlocal::Ptr{Void} = $z::Ptr{Void} |
| include("src/CUTEst.jl") | |
| using CUTEst | |
| function test(nlp; N = 100) | |
| n = Cint[nlp.meta.nvar] | |
| m = Cint[nlp.meta.ncon] | |
| x = zeros(nlp.meta.nvar) | |
| c = zeros(nlp.meta.ncon) | |
| io_err = Cint[0] |
| include("src/CUTEst.jl") | |
| using CUTEst | |
| io_err = Cint[0] | |
| function foo!(nlp, goth, x, v) | |
| result = Array(Cdouble, nlp.meta.nvar) | |
| @eval ccall(("cutest_uhprod_", $(nlp.libname)), Void, | |
| (Ptr{Cint}, Ptr{Cint}, Ptr{Cint}, Ptr{Cdouble}, Ptr{Cdouble}, Ptr{Cdouble}), |
| include("src/CUTEst.jl") | |
| using CUTEst | |
| io_err = Cint[0] | |
| n = Cint[2] | |
| #goth = Cint[0] | |
| #libname = "libLOGHAIRY" | |
| function bar!(Hv, x, v) |
| "1st foo: x::Int->x+1" | |
| function foo(x::Int) | |
| return x+1 | |
| end | |
| "2nd foo: x::Float64->x/2" | |
| function foo(x::Float64) | |
| return x/2 | |
| end |
Faça as rodadas dos times, com forças em cada e fora de cada descritas na tabela de esntrada, e crie a tabela de pontos do primeiro e do segundo turno, separadamente. Depois crie o somatório dos pontos, e ordene a saída.
Para rodar no terminal, implemente o seu programa de modo a receber test1.in como entrada, e jogue a saída para test1.out
$ python meu_codigo.py < test1.in > test1.out
| using CUTEst | |
| using Ipopt | |
| using CUTEst.MathProgBaseInterface | |
| if length(ARGS) != 1 | |
| error("Usage: julia test.jl PROBLEM") | |
| end | |
| nlp = CUTEstModel(ascii(ARGS[1])) |
| Problem name: BYRDSPHR | |
| Double precision version will be formed | |
| The objective function uses 1 linear group | |
| There are 2 nonlinear equality constraints | |
| There are 3 free variables | |