BSPLINE-FORTRAN -- Multidimensional B-Spline Interpolation of Data on a Regular Grid

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Multidimensional B-Spline Interpolation of Data on a Regular Grid.

The library provides subroutines for 1D-6D interpolation and extrapolation using B-splines. The code is written in modern Fortran (i.e., Fortran 2003+). There are two ways to use the module, via a basic subroutine interface and an object-oriented interface. Both are thread safe.

The core routines for the subroutine interface are:

```
!f(x)
subroutine db1ink(x,nx,fcn,kx,iknot,tx,bcoef,iflag)
subroutine db1val(xval,idx,tx,nx,kx,bcoef,f,iflag,inbvx,w0,extrap)
!f(x,y)
subroutine db2ink(x,nx,y,ny,fcn,kx,ky,iknot,tx,ty,bcoef,iflag)
subroutine db2val(xval,yval,idx,idy,tx,ty,nx,ny,kx,ky,bcoef,f,iflag,inbvx,inbvy,iloy,w1,w0,extrap)
!f(x,y,z)
subroutine db3ink(x,nx,y,ny,z,nz,fcn,kx,ky,kz,iknot,tx,ty,tz,bcoef,iflag)
subroutine db3val(xval,yval,zval,idx,idy,idz,tx,ty,tz,nx,ny,nz,kx,ky,kz,bcoef,f,iflag,inbvx,inbvy,inbvz,iloy,iloz,w2,w1,w0,extrap)
!f(x,y,z,q)
subroutine db4ink(x,nx,y,ny,z,nz,q,nq,fcn,kx,ky,kz,kq,iknot,tx,ty,tz,tq,bcoef,iflag)
subroutine db4val(xval,yval,zval,qval,idx,idy,idz,idq,tx,ty,tz,tq,nx,ny,nz,nq,kx,ky,kz,kq,bcoef,f,iflag,inbvx,inbvy,inbvz,inbvq,iloy,iloz,iloq,w3,w2,w1,w0,extrap)
!f(x,y,z,q,r)
subroutine db5ink(x,nx,y,ny,z,nz,q,nq,r,nr,fcn,kx,ky,kz,kq,kr,iknot,tx,ty,tz,tq,tr,bcoef,iflag)
subroutine db5val(xval,yval,zval,qval,rval,idx,idy,idz,idq,idr,tx,ty,tz,tq,tr,nx,ny,nz,nq,nr,kx,ky,kz,kq,kr,bcoef,f,iflag,inbvx,inbvy,inbvz,inbvq,inbvr,iloy,iloz,iloq,ilor,w4,w3,w2,w1,w0,extrap)
!f(x,y,z,q,r,s)
subroutine db6ink(x,nx,y,ny,z,nz,q,nq,r,nr,s,ns,fcn,kx,ky,kz,kq,kr,ks,iknot,tx,ty,tz,tq,tr,ts,bcoef,iflag)
subroutine db6val(xval,yval,zval,qval,rval,sval,idx,idy,idz,idq,idr,ids,tx,ty,tz,tq,tr,ts,nx,ny,nz,nq,nr,ns,kx,ky,kz,kq,kr,ks,bcoef,f,iflag,inbvx,inbvy,inbvz,inbvq,inbvr,inbvs,iloy,iloz,iloq,ilor,ilos,w5,w4,w3,w2,w1,w0,extrap)
```

The `ink`

routines compute the interpolant coefficients, and the `val`

routines evalute the interpolant at the specified value of each coordinate. The 2D and 3D routines are extensively refactored versions of the original routines from the NIST Core Math Library. The others are new, and are simply extensions of the same algorithm into the other dimensions.

In addition to the main subroutines, an object-oriented interface is also provided. For example, for the 3D case:

```
type(bspline_3d) :: s
call s%initialize(x,y,z,fcn,kx,ky,kz,iflag,extrap)
call s%evaluate(xval,yval,zval,idx,idy,idz,f,iflag)
call s%destroy()
```

Which uses the default "not-a-knot" end conditions. You can also specify the knot vectors (in this case, `tx`

, `ty`

, and `tz`

) manually during class initialization:

```
call s%initialize(x,y,z,fcn,kx,ky,kz,tx,ty,tz,iflag,extrap)
```

The various bspline classes can also be initialized using constructors, which have similar interfaces as the `initialize`

methods. For example:

```
type(bspline_3d) :: s
s = bspline_3d(x,y,z,fcn,kx,ky,kz,iflag,extrap)
```

The various `k`

inputs (i.e., `kx`

, `ky`

, etc.) specify the spline order for each dimension. The order is the polynomial degree + 1. For example:

`k=2`

: Linear`k=3`

: Quadratic`k=4`

: Cubic- etc.

The library optionally supports extrapolation for points outside the range of the coefficients. This is disabled by default (in which case an error code is returned for points outside the bounds). To enable extrapolation, use the optional `extrap`

input to the various `db*val`

subroutines or the `initialize`

methods from the object-oriented interface.

The library also contains routines for computing definite integrals of bsplines. There are two methods (currently only for 1D):

- Basic version:
`db1sqad`

(`integral`

in the object-oriented interface) -- Computes the integral on`(x1,x2)`

of a b-spline by applying a 2, 6, or 10 point Gauss formula on subintervals of`(x1,x2)`

. This is only valid for orders <= 20. - More general version:
`db1fqad`

(`fintegral`

in the object-oriented interface) -- Computes the integral on`(x1,x2)`

of a product of a user-defined function`fun(x)`

and the ith derivative of a b-spline with an adaptive 8-point Legendre-Gauss algorithm.

Note that extrapolation is not currently supported for these.

The BSpline-Fortran library also exports the `defc`

subroutine, which can be used to fit B-spline polynomials to 1D data using a weighted least squares method. The `dfc`

subroutine also allows for equality and inequality constraints to be imposed on the fitted curve. These procedures are not yet available in the object oriented interface.

See the examples for more details. Note that, to compile and run some of the test programs, the pyplot-fortran library (which is used to generate plots) is required. This will automatically be downloaded by `FPM`

.

The library can be compiled with recent versions the Intel Fortran Compiler and GFortran (and presumably any other Fortran compiler that supports modern standards).

A `fpm.toml`

file is provided for compiling bspline-fortran with the Fortran Package Manager. For example, to build:

```
fpm build --profile release
```

By default, the library is built with double precision (`real64`

) real values and single precision (`int32`

) integer values. Explicitly specifying the real or integer kinds can be done using the following processor flags:

Preprocessor flag | Kind | Number of bytes |
---|---|---|

`REAL32` |
`real(kind=real32)` |
4 |

`REAL64` |
`real(kind=real64)` |
8 |

`REAL128` |
`real(kind=real128)` |
16 |

Preprocessor flag | Kind | Number of bytes |
---|---|---|

`INT8` |
`integer(kind=int8)` |
1 |

`INT16` |
`integer(kind=int16)` |
2 |

`INT32` |
`integer(kind=int32)` |
4 |

`INT64` |
`integer(kind=int64)` |
8 |

For example, to build a single precision version of the library, use:

```
fpm build --profile release --flag "-DREAL32"
```

To run the unit tests:

```
fpm test --profile release
```

To use `bspline-fortran`

within your fpm project, add the following to your `fpm.toml`

file:

```
[dependencies]
bspline-fortran = { git="https://github.com/jacobwilliams/bspline-fortran.git" }
```

or, to use a specific version:

```
[dependencies]
bspline-fortran = { git="https://github.com/jacobwilliams/bspline-fortran.git", tag = "7.3.0" }
```

A basic CMake configuration file is also included. For example, to build a static library:

```
mkdir build
cd build
cmake ..
make
```

Or, to build a shared library:

```
cmake -DBUILD_SHARED_LIBS=ON ..
```

For a debug build:

```
cmake -DCMAKE_BUILD_TYPE=DEBUG ..
```

The library requires some BLAS routines, which are included. However, the user may also choose to link to an external BLAS library. This can be done by using the `HAS_BLAS`

compiler directive. For example:

```
fpm build --compiler gfortran --flag "-DHAS_BLAS -lblas"
```

However, note that an external BLAS can only be used if the library is compiled with double precision (`real64`

) reals.

The latest API documentation can be found here. This was generated from the source code using FORD (i.e. by running `ford ford.md`

).

The bspline-fortran source code and related files and documentation are distributed under a permissive free software license (BSD-style).

- Bspline, spline, interpolation, data fitting, multivariate interpolation, multidimensional interpolation, integration

- This library includes the public domain DBSPLIN and DTENSBS code from the NIST Core Math Library (CMLIB).
- SPLPAK Multidimensional least-squares cubic spline fitting
- FINTERP Multidimensional Linear Interpolation with Modern Fortran
- PCHIP Piecewise Cubic Hermite Interpolation.
- Regridpack Linear or cubic interpolation for 1D-4D grids.