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Updated readme, added copyright headers and linux workflow
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savithru-j committed Oct 29, 2023
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41 changes: 41 additions & 0 deletions .github/workflows/linux.yml
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name: Linux

on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]

env:
# Customize the CMake build type here (Release, Debug, RelWithDebInfo, etc.)
BUILD_TYPE: Release

jobs:
build:
strategy:
matrix:
os: [ubuntu-latest]

# The CMake configure and build commands are platform agnostic and should work equally well on Windows or Mac.
# You can convert this to a matrix build if you need cross-platform coverage.
# See: https://docs.github.com/en/free-pro-team@latest/actions/learn-github-actions/managing-complex-workflows#using-a-build-matrix
runs-on: ${{ matrix.os }}

steps:
- uses: actions/checkout@v3

- name: Configure CMake
# Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.
# See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type
run: cmake -B ${{github.workspace}}/build -DCMAKE_BUILD_TYPE=${{env.BUILD_TYPE}}

- name: Build
# Build your program with the given configuration
run: cmake --build ${{github.workspace}}/build --config ${{env.BUILD_TYPE}}

- name: Test
working-directory: ${{github.workspace}}/build
# Execute tests defined by the CMake configuration.
# See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail
run: ctest -C ${{env.BUILD_TYPE}}

17 changes: 16 additions & 1 deletion README.md
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# NLSE++
C++ library for solving nonlinear Schrödinger's equation
C++ library for solving the nonlinear Schrödinger equation

[![Linux](https://github.com/savithru-j/nlse-cpp/actions/workflows/linux.yml/badge.svg?branch=main)](https://github.com/savithru-j/nlse-cpp/actions/workflows/linux.yml)

### Building with CMake

```
git clone https://github.com/savithru-j/nlse-cpp.git
cd nlse-cpp #Main project directory
mkdir build #Create directory for build files: build/release
cd build
mkdir release
cd release
cmake ../../ #Configure build
make -j 4 #Build in parallel with 4 threads
```
5 changes: 5 additions & 0 deletions examples/fibre_2mode.cpp
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// nlse++
// C++ library for solving the nonlinear Schrödinger equation
// Licensed under the MIT License (http://opensource.org/licenses/MIT)
// Copyright (c) 2023, Savithru Jayasinghe

#include <autodiffeq/numerics/ADVar.hpp>
#include <autodiffeq/numerics/Complex.hpp>
#include <autodiffeq/solver/ForwardEuler.hpp>
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5 changes: 5 additions & 0 deletions examples/fibre_2mode_gpu.cu
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// nlse++
// C++ library for solving the nonlinear Schrödinger equation
// Licensed under the MIT License (http://opensource.org/licenses/MIT)
// Copyright (c) 2023, Savithru Jayasinghe

#include <autodiffeq/numerics/ADVar.hpp>
#include <autodiffeq/numerics/Complex.hpp>
#include <autodiffeq/solver/RungeKutta.hpp>
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5 changes: 5 additions & 0 deletions src/ode/GPUMultimodeNLSE.hpp
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// nlse++
// C++ library for solving the nonlinear Schrödinger equation
// Licensed under the MIT License (http://opensource.org/licenses/MIT)
// Copyright (c) 2023, Savithru Jayasinghe

#include <autodiffeq/numerics/ADVar.hpp>
#include <autodiffeq/numerics/Complex.hpp>
#include <autodiffeq/solver/ODE.hpp>
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5 changes: 5 additions & 0 deletions src/ode/MultimodeNLSE.hpp
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// nlse++
// C++ library for solving the nonlinear Schrödinger equation
// Licensed under the MIT License (http://opensource.org/licenses/MIT)
// Copyright (c) 2023, Savithru Jayasinghe

#include <autodiffeq/numerics/ADVar.hpp>
#include <autodiffeq/numerics/Complex.hpp>
#include <autodiffeq/solver/ODE.hpp>
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