Skip to content

Commit 7288dd7

Browse files
committed
CI
1 parent 58638ce commit 7288dd7

File tree

2 files changed

+3
-3
lines changed

2 files changed

+3
-3
lines changed

.github/workflows/CI.yml

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -15,7 +15,7 @@ jobs:
1515
fail-fast: false
1616
matrix:
1717
version:
18-
- '1.10'
18+
- 'lts'
1919
- '1'
2020
os:
2121
- ubuntu-latest
@@ -25,7 +25,7 @@ jobs:
2525
- x64
2626
steps:
2727
- uses: actions/checkout@v4
28-
- uses: julia-actions/setup-julia@v2.4
28+
- uses: julia-actions/setup-julia@v2
2929
with:
3030
version: ${{ matrix.version }}
3131
arch: ${{ matrix.arch }}

README.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,7 @@
44

55
| **Build Status** | **Coverage** |
66
|------------------|--------------|
7-
| [![Build Status](https://github.com/JuliaApproximation/BasisFunctions.jl/workflows/CI/badge.svg?branch=master)](https://github.com/JuliaApproximation/BasisFunctions.jl/actions/workflows/CI.yml) | [![Coverage](https://codecov.io/gh/JuliaApproximation/BasisFunctions.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/JuliaApproximation/BasisFunctions.jl)
7+
| [![Build Status](https://github.com/JuliaApproximation/BasisFunctions.jl/workflows/CI/badge.svg)](https://github.com/JuliaApproximation/BasisFunctions.jl/actions) | [![Coverage](https://codecov.io/gh/JuliaApproximation/BasisFunctions.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/JuliaApproximation/BasisFunctions.jl)
88

99
This package provides a framework for a number of standard basis functions to perform function approximation. The most developed examples are Chebyshev polynomials and Fourier series. This package was developed mainly for use in the package FrameFun, which centers around the numerical approximation of functions using approximation-theoretical frames. It can be used separately as well, yet by far this code is not fully featured and it is not intended to be so. For more complete software packages to manipulate numerical function approximations, please consider [Chebfun](http://www.chebfun.org) (in Matlab) or [ApproxFun](https://github.com/JuliaApproximation/ApproxFun.jl) (in Julia).
1010

0 commit comments

Comments
 (0)