Julia versions | master build | Coverage |
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Julia implementation of the Riemann Theta function. This package is mostly a port
from Python of the same function in the Sage library `Abelfunction`

(https://github.com/abelfunctions/abelfunctions). Beyond a given problem size (number of z
in zs, dimension of z's, number of integration points), the functions switch to a different algorithm
using matrix operations resulting in very competitive timings (at the cost of memory usage).

The Sage library is itself an implementation of :

[CRTF] B. Deconinck, M. Heil, A. Bobenko, M. van Hoeij and M. Schmies, Computing Riemann Theta Functions, Mathematics of Computation, 73, (2004), 1417-1442.

Exported function are :

```
riemanntheta(zs::Vector{Vector{Complex128}},
Ω::Matrix{Complex128};
eps::Float64=1e-8,
derivs::Vector{Vector{Complex128}}=Vector{Complex128}[],
accuracy_radius::Float64=5.)::Vector{Complex128}
```

Return the value of the Riemann theta function for Ω and all z in `zs`

if
`derivs`

is empty, or the derivatives at all z in `zs`

for the given directional
derivatives in `derivs`

.

*Parameters* :

`zs`

: A vector of complex vectors at which to evaluate the Riemann theta function.`Omega`

: A Riemann matrix.`eps`

: (Default: 1e-8) The desired numerical accuracy.`derivs`

: A vector of complex vectors giving a directional derivative.`accuracy_radius`

: (Default: 5.) The radius from the g-dimensional origin where the requested accuracy of the Riemann theta is guaranteed when computing derivatives. Not used if no derivatives of theta are requested.

```
oscillatory_part(zs::Vector{Vector{Complex128}},
Ω::Matrix{Complex128};
eps::Float64=1e-8,
derivs::Vector{Vector{Complex128}}=Vector{Complex128}[],
accuracy_radius::Float64=5.)::Vector{Complex128}
```

Return the value of the oscillatory part of the Riemann theta function for Ω and
all z in `zs`

if `derivs`

is empty, or the derivatives at all z in `zs`

for the
given directional derivatives in `derivs`

.

*Parameters* :

`zs`

: A vector of complex vectors at which to evaluate the Riemann theta function.`Omega`

: A Riemann matrix.`eps`

: (Default: 1e-8) The desired numerical accuracy.`derivs`

: A vector of complex vectors giving a directional derivative.`accuracy_radius`

: (Default: 5.) The radius from the g-dimensional origin where the requested accuracy of the Riemann theta is guaranteed when computing derivatives. Not used if no derivatives of theta are requested.

And :

```
exponential_part(zs::Vector{Vector{Complex128}},
Ω::Matrix{Complex128})::Vector{Float64}
```

Return the value of the exponential part of the Riemann theta function for Ω and
all z in `zs`

.

*Parameters* :

`zs`

: A vector of complex vectors at which to evaluate the Riemann theta function.`Omega`

: A Riemann matrix.