Numerical Integration Library for Rust
- Compatible with latest stable/beta/nightly Rust compiler
- Compatible with
no_std - Extremely fast and simple API
- Semi-verified computation (You can specify the maximum calculation tolerance)
- Lightweight (small dependencies)
- Highly extensible (you can implement a new algorithm)
gkquad depends on alloc crate, so you have to specify the global allocator in order to use gkquad.
If you want to use this crate in no_std environment, you must disable the std feature flag.
[dependencies.gkquad]
version = "0.0.4"
default-features = false
features = ["single"]OS Type: linux
CPU Architecture: x86_64
CPU Model Name: Intel(R) Core(TM) i5-8265U CPU @ 1.60GHz
Intel Turbo Boost Technology: disabled
SMBench Version: 0.1.0
# single (gkquad/benches/single.rs)
Benchmark Time 95% CI Allocation
----------------------------------------------------------------------
simple 88.351 ns [88.223 ns, 88.479 ns] 0 B (0 allocs)
singular_points 1.3804 us [1.3799 us, 1.3810 us] 1 KB (2 allocs)
infinite_range 500.17 ns [499.87 ns, 500.47 ns] 1 KB (2 allocs)
# double (gkquad/benches/double.rs)
Benchmark Time 95% CI Allocation
----------------------------------------------------------------------
simple 1.7205 us [1.7197 us, 1.7213 us] 32 B (1 allocs)
singular_points 88.415 us [88.354 us, 88.476 us] 101 KB (4 allocs)
infinite_range 167.16 us [166.76 us, 167.55 us] 101 KB (5 allocs)
Source code can be found here.
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Copyright © 2020 Kogia-sima.
This project is MIT licensed.
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