martincornejo

Results 8 issues of martincornejo

Background: https://github.com/jump-dev/Dualization.jl/issues/90 and a [discourse discussion](https://discourse.julialang.org/t/modifying-coefficient-of-quadratic-term-in-objective-function/51622) `MOI.modify` makes in-place modifications of the coefficients of a function. Through `MOI.ScalarCoefficientChange` it is possible to modify the linear terms of a `ScalarQuadraticFunction`, but...

Type: Enhancement

By polling the battery data, the voltage of each cell is requested: https://github.com/fsantini/python-e3dc/blob/75d3d41f80c4284cfd78d99836850dda73074cd6/e3dc/_e3dc.py#L1275-L1284 When processing the request, for some reason, `BAT_DCB_NR_SERIES_CELL` is 0, skipping the loop and returning an empty...

Fixes https://github.com/fsantini/python-e3dc/issues/102

Adressess https://github.com/JuliaGaussianProcesses/KernelFunctions.jl/issues/506. Implements a new kernel composition `KernelTensorSum` and related `⊕` operator. The naming should be discussed since the meaning of `KernelTensorSum` might not be appropriate. Suggestions are welcome.

Following this [discourse discussion](https://discourse.julialang.org/t/gps-sum-of-independent-kernels/98542). Currently, there is no building block to sum independent Kernels, analog to `KernelTensorProduct` but with addition instead of multiplication: For inputs $x = (x_1,\dots,x_n)$ and $x'...

enhancement

This issue is probably related to #71. The following `PowerModelsDistribution` problem throws the following exception when using the Mosek solver. The issue is not present with other conic solvers like...

Implements `directsum` (https://en.wikipedia.org/wiki/Matrix_addition#Direct_sum) and unicode operator `⊕`. Currently it is limited to matrices but it could be extended to support multiple dimentsions (similar to the current behavior between `Vector ⊕...

**Describe the bug 🐞** Collocation with interpolators throws an error since `DataInterpolations` is not imported. **Minimal Reproducible Example 👇** ```julia x = randn(1001) |> cumsum t = collect(0.0:1000) t2 =...

bug