TYoshimura.DoubleDouble
1.7.0
See the version list below for details.
dotnet add package TYoshimura.DoubleDouble --version 1.7.0
NuGet\Install-Package TYoshimura.DoubleDouble -Version 1.7.0
<PackageReference Include="TYoshimura.DoubleDouble" Version="1.7.0" />
<PackageVersion Include="TYoshimura.DoubleDouble" Version="1.7.0" />
<PackageReference Include="TYoshimura.DoubleDouble" />
paket add TYoshimura.DoubleDouble --version 1.7.0
#r "nuget: TYoshimura.DoubleDouble, 1.7.0"
#:package TYoshimura.DoubleDouble@1.7.0
#addin nuget:?package=TYoshimura.DoubleDouble&version=1.7.0
#tool nuget:?package=TYoshimura.DoubleDouble&version=1.7.0
DoubleDouble
double-double arithmetic implements
Requirement
.NET 5.0
Install
- To install, just import the DLL.
- This library does not change the environment at all.
More Precision ?
Types
type | mantissa bits | significant digits |
---|---|---|
ddouble | 104 | 30 |
Functions
function | domain | mantissa error bits | note | usage |
---|---|---|---|---|
sqrt | [0,+inf) | 2 | ddouble.Sqrt(x) | |
cbrt | (-inf,+inf) | 2 | ddouble.Cbrt(x) | |
log2 | (0,+inf) | 2 | ddouble.Log2(x) | |
log | (0,+inf) | 3 | ddouble.Log(x) | |
log10 | (0,+inf) | 3 | ddouble.Log10(x) | |
log1p | (-1,+inf) | 3 | log(1+x) | ddouble.Log1p(x) |
pow2 | (-inf,+inf) | 1 | ddouble.Pow2(x) | |
pow | (-inf,+inf) | 4 | ddouble.Pow(x, y) | |
pow10 | (-inf,+inf) | 4 | ddouble.Pow10(x) | |
exp | (-inf,+inf) | 4 | ddouble.Exp(x) | |
expm1 | (-inf,+inf) | 4 | exp(x)-1 | ddouble.Expm1(x) |
sin | (-inf,+inf) | 2 | ddouble.Sin(x) | |
cos | (-inf,+inf) | 2 | ddouble.Cos(x) | |
tan | (-inf,+inf) | 3 | ddouble.Tan(x) | |
sinpi | (-inf,+inf) | 1 | sin(πx) | ddouble.SinPI(x) |
cospi | (-inf,+inf) | 1 | cos(πx) | ddouble.CosPI(x) |
tanpi | (-inf,+inf) | 2 | tan(πx) | ddouble.TanPI(x) |
sinh | (-inf,+inf) | 2 | ddouble.Sinh(x) | |
cosh | (-inf,+inf) | 2 | ddouble.Cosh(x) | |
tanh | (-inf,+inf) | 2 | ddouble.Tanh(x) | |
asin | [-1,1] | 2 | Accuracy deteriorates near x=-1,1. | ddouble.Asin(x) |
acos | [-1,1] | 2 | Accuracy deteriorates near x=-1,1. | ddouble.Acos(x) |
atan | (-inf,+inf) | 2 | ddouble.Atan(x) | |
atan2 | (-inf,+inf) | 2 | ddouble.Atan2(y, x) | |
arsinh | (-inf,+inf) | 2 | ddouble.Arsinh(x) | |
arcosh | [1,+inf) | 2 | ddouble.Arcosh(x) | |
artanh | (-1,1) | 4 | Accuracy deteriorates near x=-1,1. | ddouble.Artanh(x) |
gamma | (-inf,+inf) | 5 | Accuracy deteriorates near non-positive intergers. <br/> If x is Natual number lass than 35, an exact integer value is returned. | ddouble.Gamma(x) |
loggamma | (0,+inf) | 5 | Near the positive zero point, polynomial interpolation is used. | ddouble.LogGamma(x) |
digamma | (-inf,+inf) | 5 | Near the positive zero point, polynomial interpolation is used. | ddouble.Digamma(x) |
erf | (-inf,+inf) | 5 | ddouble.Erf(x) | |
erfc | (-inf,+inf) | 5 | ddouble.Erfc(x) | |
inverse_erf | (-1,1) | 8 | ddouble.InverseErf(x) | |
inverse_erfc | (0,2) | 8 | ddouble.InverseErfc(x) | |
bessel_j | [0,+inf) | 16 | Accuracy deteriorates near zero points.<br/>abs(nu) ≤ 8 | ddouble.BesselJ(nu, x) |
bessel_y | [0,+inf) | 16 | Accuracy deteriorates near zero points.<br/>abs(nu) ≤ 8 | ddouble.BesselY(nu, x) |
bessel_i | [0,+inf) | 16 | abs(nu) ≤ 8 | ddouble.BesselI(nu, x) |
bessel_k | [0,+inf) | 16 | abs(nu) ≤ 8 | ddouble.BesselK(nu, x) |
elliptic_k | [0,1] | 1 | ddouble.EllipticK(k) | |
elliptic_e | [0,1] | 1 | ddouble.EllipticE(k) | |
elliptic_pi | [0,1] | 1 | ddouble.EllipticPi(n, k) | |
fresnel_c | (-inf,+inf) | 8 | ddouble.FresnelC(x) | |
fresnel_s | (-inf,+inf) | 8 | ddouble.FresnelS(x) | |
ei | (-inf,+inf) | 8 | exponential integral | ddouble.Ei(x) |
li | [0,+inf) | 10 | logarithmic integral li(x)=ei(log(x)) | ddouble.Li(x) |
lambertw | [-1/e,+inf) | 8 | ddouble.LambertW(x) | |
airy_ai | (-inf,+inf) | 10 | Accuracy deteriorates near zero points. | ddouble.AiryAi(x) |
airy_bi | (-inf,+inf) | 10 | Accuracy deteriorates near zero points. | ddouble.AiryBi(x) |
ldexp | (-inf,+inf) | N/A | ddouble.Ldexp(x, y) | |
min | N/A | N/A | ddouble.Min(x, y) | |
max | N/A | N/A | ddouble.Max(x, y) | |
floor | N/A | N/A | ddouble.Floor(x) | |
ceiling | N/A | N/A | ddouble.Ceiling(x) | |
round | N/A | N/A | ddouble.Round(x) | |
truncate | N/A | N/A | ddouble.Truncate(x) | |
array sum | N/A | N/A | IEnumerable<ddouble>.Sum() | |
array average | N/A | N/A | IEnumerable<ddouble>.Average() | |
array min | N/A | N/A | IEnumerable<ddouble>.Min() | |
array max | N/A | N/A | IEnumerable<ddouble>.Max() |
Constants
constant | value | note | usage |
---|---|---|---|
Pi | 3.141592653589793238462... | ddouble.PI | |
Napier's E | 2.718281828459045235360... | ddouble.E | |
Euler's Gamma | 0.577215664901532860606... | ddouble.EulerGamma | |
ζ(3) | 1.202056903159594285399... | Apery const. | ddouble.Zeta3 |
ζ(5) | 1.036927755143369926331... | ddouble.Zeta5 | |
ζ(7) | 1.008349277381922826839... | ddouble.Zeta7 | |
ζ(9) | 1.002008392826082214418... | ddouble.Zeta9 |
Sequence
sequence | note | usage |
---|---|---|
Taylor | 1/n! | ddouble.TaylorSequence |
Bernoulli | B(2k) | ddouble.BernoulliSequence |
HarmonicNumber | H_n | ddouble.HarmonicNumber |
Casts
long (accurately)
ddouble v0 = 123;
long n0 = (long)v0;
double (accurately)
ddouble v1 = 0.5;
double n1 = (double)v1;
decimal (approximately)
ddouble v1 = 0.1m;
decimal n1 = (decimal)v1;
string (approximately)
ddouble v2 = "3.14e0";
string s0 = v2.ToString();
string s1 = v2.ToString("E8");
string s2 = $"{v2:E8}";
I/O
BinaryWriter, BinaryReader
Licence
Author
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 is compatible. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. net9.0 was computed. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed. net10.0 was computed. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
-
net5.0
- No dependencies.
NuGet packages (12)
Showing the top 5 NuGet packages that depend on TYoshimura.DoubleDouble:
Package | Downloads |
---|---|
TYoshimura.Algebra
Linear Algebra |
|
TYoshimura.DoubleDouble.Complex
Double-Double Complex and Quaternion Implements |
|
TYoshimura.CurveFitting
Curvefitting - linear, polynomial, pade, arbitrary function |
|
TYoshimura.DoubleDouble.Statistic
Double-Double Statistic Implements |
|
TYoshimura.DoubleDouble.Integrate
Double-Double Numerical Integration Implements |
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last Updated |
---|---|---|
4.2.6 | 256 | 11/22/2024 |
4.2.5 | 182 | 11/22/2024 |
4.2.4 | 163 | 11/21/2024 |
4.2.3 | 184 | 11/18/2024 |
4.2.2 | 211 | 11/17/2024 |
4.2.1 | 340 | 11/14/2024 |
4.2.0 | 180 | 11/13/2024 |
4.1.0 | 200 | 11/13/2024 |
4.0.3 | 167 | 11/8/2024 |
4.0.2 | 655 | 11/7/2024 |
4.0.1 | 220 | 11/1/2024 |
4.0.0 | 243 | 10/31/2024 |
3.3.4 | 170 | 10/23/2024 |
3.3.3 | 148 | 10/21/2024 |
3.3.2 | 242 | 10/14/2024 |
3.3.1 | 149 | 10/13/2024 |
3.3.0 | 162 | 10/13/2024 |
3.2.9 | 169 | 10/11/2024 |
3.2.8 | 181 | 9/18/2024 |
3.2.7 | 202 | 9/10/2024 |
3.2.6 | 378 | 8/22/2024 |
3.2.5 | 201 | 8/22/2024 |
3.2.4 | 235 | 7/12/2024 |
3.2.3 | 189 | 6/9/2024 |
3.2.2 | 446 | 4/26/2024 |
3.2.1 | 445 | 2/22/2024 |
3.2.0 | 853 | 1/20/2024 |
3.1.6 | 524 | 11/12/2023 |
3.1.5 | 473 | 11/3/2023 |
3.1.4 | 510 | 11/3/2023 |
3.1.3 | 478 | 10/30/2023 |
3.1.2 | 494 | 10/28/2023 |
3.1.1 | 454 | 10/28/2023 |
3.1.0 | 533 | 10/21/2023 |
3.0.9 | 474 | 10/20/2023 |
3.0.8 | 506 | 10/19/2023 |
3.0.7 | 517 | 10/14/2023 |
3.0.6 | 527 | 10/13/2023 |
3.0.5 | 513 | 10/12/2023 |
3.0.4 | 505 | 10/11/2023 |
3.0.3 | 570 | 10/8/2023 |
3.0.2 | 541 | 10/7/2023 |
3.0.1 | 487 | 9/30/2023 |
3.0.0 | 526 | 9/30/2023 |
2.9.8 | 536 | 9/29/2023 |
2.9.7 | 543 | 9/16/2023 |
2.9.6 | 617 | 9/9/2023 |
2.9.5 | 607 | 9/9/2023 |
2.9.4 | 627 | 9/8/2023 |
2.9.3 | 580 | 9/8/2023 |
2.9.2 | 522 | 9/6/2023 |
2.9.1 | 552 | 9/5/2023 |
2.9.0 | 804 | 9/4/2023 |
2.8.6 | 890 | 3/18/2023 |
2.8.5 | 1,272 | 3/13/2023 |
2.8.4 | 785 | 3/11/2023 |
2.8.3 | 741 | 2/23/2023 |
2.8.2 | 747 | 2/17/2023 |
2.8.1 | 819 | 2/16/2023 |
2.8.0 | 732 | 2/13/2023 |
2.7.2 | 1,862 | 10/30/2022 |
2.7.1 | 869 | 10/28/2022 |
2.7.0 | 892 | 10/25/2022 |
2.6.1 | 887 | 10/14/2022 |
2.6.0 | 926 | 10/13/2022 |
2.5.6 | 931 | 9/18/2022 |
2.5.5 | 933 | 9/17/2022 |
2.5.4 | 886 | 9/16/2022 |
2.5.3 | 893 | 9/15/2022 |
2.5.2 | 881 | 9/7/2022 |
2.5.1 | 937 | 9/5/2022 |
2.5.0 | 2,189 | 9/4/2022 |
2.4.5 | 832 | 9/3/2022 |
2.4.4 | 866 | 9/2/2022 |
2.4.3 | 887 | 8/31/2022 |
2.4.2 | 976 | 2/8/2022 |
2.4.1 | 1,441 | 1/26/2022 |
2.4.0 | 915 | 1/25/2022 |
2.3.1 | 1,070 | 1/21/2022 |
2.3.0 | 1,042 | 1/20/2022 |
2.2.0 | 935 | 1/13/2022 |
2.1.2 | 981 | 1/12/2022 |
2.1.1 | 957 | 1/12/2022 |
2.1.0 | 744 | 1/11/2022 |
2.0.5 | 878 | 1/9/2022 |
2.0.4 | 808 | 1/8/2022 |
2.0.2 | 769 | 1/8/2022 |
2.0.1 | 789 | 1/7/2022 |
2.0.0 | 797 | 1/7/2022 |
1.9.4 | 783 | 1/6/2022 |
1.9.3 | 758 | 1/6/2022 |
1.9.2 | 828 | 1/5/2022 |
1.9.0 | 767 | 1/5/2022 |
1.8.0 | 760 | 1/4/2022 |
1.7.0 | 765 | 1/3/2022 |
1.6.1 | 776 | 12/25/2021 |
1.6.0 | 1,311 | 12/25/2021 |
1.5.2 | 739 | 12/22/2021 |
1.5.1 | 818 | 12/22/2021 |
1.5.0 | 801 | 12/22/2021 |
1.4.3 | 934 | 12/11/2021 |
1.4.2 | 906 | 12/11/2021 |
1.4.1 | 805 | 12/2/2021 |
1.4.0 | 1,286 | 12/1/2021 |
+ fresnel integral