Approximation

athena

Ned Taylor (nedtaylor) / athena

Neural networks with convolutional, graph-based and physics-informed layers.

Matching APIs: full_layer_type%forward

Verified: a checked driver demonstrates a capability in this class.

K

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Checked drivers: athena-dense-reference

conmax

Jacob Williams (jacobwilliams) / conmax

Linear, quadratic and constrained minimax optimization routines.

Uncertain: discovery classification awaiting procedure-level source review.

G G2 G2a K K2

Package details · Repository · Open default example

ennuf

Met Office (metoffice) / ennuf

Fortran neural-network inference with a generated, fixed-weight 2-2-1 ReLU example.

Matching APIs: dense / activation_function / ennuf_example

Verified: a checked driver demonstrates a capability in this class.

K

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Checked drivers: ennuf-inference-reference

fastconv

Dominik Gronkiewicz (gronki) / fastconv

Small-kernel convolution for smoothing one-, two- and three-dimensional arrays.

Uncertain: discovery classification awaiting procedure-level source review.

J J2 K K5

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fgsl

reinh-bader / fgsl

Fortran bindings to GSL; checked adaptive quadrature with an endpoint singularity.

Uncertain: discovery classification awaiting procedure-level source review.

C D E F G H H2 H2a H2a1 H2a1a H2a1a1 I J K L

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fiats

Berkeley Lab (BerkeleyLab) / fiats

Neural-network inference using the GNU-compatible 0.12.0 source revision.

Matching APIs: inference_engine_t / infer

Verified: a checked driver demonstrates a capability in this class.

K

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Checked drivers: fiats-inference-reference

fitpack

Federico Perini (perazz) / fitpack

Spline fitting, smoothing, derivatives, and integration of curves and surfaces.

Uncertain: discovery classification awaiting procedure-level source review.

E E1 E1a E2 H H1 H2 H2a H2a2 H2a2b H2a2b2 K K1 K5

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fkb

Scientific Computing (scientific-computing) / FKB

Fortran-Keras bridge: load neural-network weights and evaluate predictions.

Matching APIs: load / output / save

Verified: a checked driver demonstrates a capability in this class.

K

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Checked drivers: fkb-network-reference

fortran-simplify

Joshua Aiken (jaiken17) / fortran-simplify

Reduce the number of polyline points using geometric simplification algorithms.

Matching APIs: perpendicular_distance

Source-supported: pinned procedure evidence; a matching checked driver is still needed.

K P

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ftorch

Institute of Computing for Climate Science (Cambridge-ICCS) / FTorch

Call PyTorch models from Fortran; checked CPU inference with an embedded affine TorchScript model.

Matching APIs: torch_model_load / torch_tensor_from_array / torch_model_forward

Verified: a checked driver demonstrates a capability in this class.

K

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Checked drivers: ftorch-affine-reference

libdogleg-f

Ivan Pribec (ivan-pi) / libdogleg-f

Fortran interfaces to libdogleg trust-region nonlinear least-squares optimization.

Uncertain: discovery classification awaiting procedure-level source review.

G G1 G1b G1b1 G1b1b K K1

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lsmr

Jacob Williams (jacobwilliams) / LSMR

Iterative solution of sparse linear equations and least-squares problems.

Uncertain: discovery classification awaiting procedure-level source review.

D D2 D9 D9a D9a1 K K1

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lsqr

Jacob Williams (jacobwilliams) / LSQR

Iterative sparse linear systems and least-squares solver using coordinate storage.

Uncertain: discovery classification awaiting procedure-level source review.

D D2 D9 D9a D9a1 K K1

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minpack

Jacob Williams (jacobwilliams) / minpack

Nonlinear equation solvers and nonlinear least-squares fitting.

Uncertain: discovery classification awaiting procedure-level source review.

F F2 G G1 G1b G1b1 G1b1a G1b1b K K1

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neural-fortran

Modern Fortran (modern-fortran) / neural-fortran

Neural networks with dense and convolutional layers and gradient-based training.

Uncertain: discovery classification awaiting procedure-level source review.

G G1 G1b K

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nonlin

Jason Christopherson (jchristopherson) / nonlin

Object-oriented solvers for nonlinear equations, least squares and optimization.

Uncertain: discovery classification awaiting procedure-level source review.

F F1 F1b F2 G G1 G1b G1b1 G1b1a G1b1b K K1

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odrpack95

Hugo Vale (HugoMVale) / odrpack95

Orthogonal distance regression with errors in both variables and optional parameter bounds.

Uncertain: discovery classification awaiting procedure-level source review.

G G2 K K1 L L8

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spectrum

Jason Christopherson (jchristopherson) / spectrum

Filtering, spectral estimation, convolution, resampling, and signal analysis.

Uncertain: discovery classification awaiting procedure-level source review.

J J1 J1a J1a1 J2 K K5 N

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splpak

Jacob Williams (jacobwilliams) / splpak

Least-squares fitting and evaluation of multidimensional cubic splines.

Matching APIs: splpak_type%initialize, evaluate

Verified: a checked driver demonstrates a capability in this class.

Driver demonstrates the narrower class K1.

K K1

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Checked drivers: splpak-paired-noise-fit