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| Date | Name | Thumbnail | Size | User | Description | Versions |
|---|---|---|---|---|---|---|
| 03:43, 21 August 2015 | Erfcthumb.png (file) |  |
4 KB | Tom | Plot[Erfc[x], {x, -3, 3}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 03:26, 21 August 2015 | Kelvinbeithumb.png (file) |  |
4 KB | Tom | Plot[KelvinBei[0, x], {x, -12, 3}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 17:59, 29 January 2016 | Tangentglyph.png (file) |  |
4 KB | Tom | <pre> #!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(0,2*pi,0.00001) f=np.vectorize(tan) y=f(x) fig, ax = plt.subplots() plt.ylim([... | 1 |
| 08:41, 19 January 2015 | Planckradiationthumb.png (file) |  |
5 KB | Tom | Plot[(15/Pi^4)*1/(x^5*(Exp[1/x] - 1)), {x, 0, 2}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 21:59, 28 October 2017 | Struveh2glyph.png (file) |  |
5 KB | Tom | 1 | |
| 18:41, 15 May 2016 | Arcsinhglyph.png (file) |  |
5 KB | Tom | Category:Arcsinhglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-6,6,0.001) f=np.vectorize(asinh) y=f(x) fig, ax = pl... | 1 |
| 18:51, 9 June 2016 | Jacobins,m=0.8glyph.png (file) |  |
5 KB | Tom | Category:Jacobinsglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-9.1,9.1,0.001) f=np.vectorize(lambda x: ellipfun('ns... | 1 |
| 18:01, 9 June 2016 | Jacobidc,m=0.8glyph.png (file) |  |
5 KB | Tom | Category:Jacobidcglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-6.9,6.9,0.001) f=np.vectorize(lambda x: ellipfun('dc... | 1 |
| 21:31, 10 June 2016 | Besseli,n=1glyph.png (file) |  |
5 KB | Tom | Category:Besseliglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-4,4,0.01) x2=np.arange(-25,25,0.1) f=np.vectorize(la... | 1 |
| 12:46, 19 January 2015 | Ellipticethumb.png (file) |  |
5 KB | Tom | Plot[EllipticE[x], {x, -1, 1}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 23:12, 25 August 2015 | Inversegudermannianthumb.png (file) |  |
5 KB | Tom | Plot[InverseGudermannian[x], {x, -10, 10}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 03:23, 6 July 2016 | Vanderwaerdenglyph.png (file) |  |
5 KB | Tom | Category:vanderwaerdenglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 def distfnc(x): return min(x-floor(x),ceil(x)-x) de... | 1 |
| 18:05, 3 June 2016 | Barnesgglyph.png (file) |  |
5 KB | Tom | Category:barnesgglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-4,3,0.1) x2=np.arange(-0.5,2,1) f=np.vectorize(barnes... | 1 |
| 18:06, 29 January 2016 | Cosecantglyph.png (file) |  |
5 KB | Tom | <pre> #!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(0.0000001,2*pi,0.00001) f=np.vectorize(csc) y=f(x) fig, ax = plt.subplots() pl... | 1 |
| 18:44, 15 May 2016 | Arccschglyph.png (file) |  |
5 KB | Tom | Category:Arccschglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-1,1,0.03) f=np.vectorize(acsch) y=f(x) fig, ax = plt... | 1 |
| 06:46, 19 January 2015 | Binomialthumb.png (file) |  |
5 KB | Tom | DiscretePlot[Binomial[20, k], {k, 0, 20}, PlotStyle -> {PointSize[0.04], Black}, PlotRange -> {0, 200000}, FillingStyle -> None, AxesStyle -> Thickness[0.01], AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 00:27, 29 October 2017 | Dawsondplusglyph.png (file) |  |
5 KB | Tom | <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams import scipy.special rcParams['figure.figsize'] = 2.4,2.4 x1=np.arange(-15,15,0.001) f=np.vectorize(lambda x: scipy.special.dawsn... | 1 |
| 02:14, 26 February 2016 | Arcsineglyph.png (file) |  |
5 KB | Tom | Category:Arcsineglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-1,1,0.00001) f=np.vectorize(asin) y=f(x) fig, ax = p... | 1 |
| 21:12, 5 July 2016 | Faberf1glyph.png (file) |  |
5 KB | Tom | Category:faberf1glyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 def distfnc(x): return min(x-floor(x),ceil(x)-x) def fabe... | 1 |
| 05:24, 22 June 2016 | Gpfglyph.png (file) |  |
5 KB | Tom | Category:greatestprimefactorglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt import fractions from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 def gpf(n): i = 2 whi... | 1 |
| 02:27, 5 January 2017 | Excosecantglyph.png (file) |  |
5 KB | Tom | Category:excosecantglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: csc(x)-1) y... | 2 |
| 18:09, 29 January 2016 | Secantglyph.png (file) |  |
5 KB | Tom | <pre> #!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(0.0000001,2*pi,0.00001) f=np.vectorize(sec) y=f(x) fig, ax = plt.subplots() pl... | 1 |
| 01:56, 5 January 2017 | Exsecantglyph.png (file) |  |
5 KB | Tom | Category:exsecantglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: sec(x)-1) y1=... | 1 |
| 12:20, 19 January 2015 | Hyperfactorialthumb.png (file) |  |
5 KB | Tom | Plot[Hyperfactorial[x], {x, -1, 2}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 20:14, 9 July 2016 | Kelvinber,n=0.5glyph.png (file) |  |
5 KB | Tom | Category:kelvinberglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(0,7,0.01) f=np.vectorize(lambda x: ber(0.5,x)) y=f(x... | 1 |
| 02:29, 26 February 2016 | Arccosineglyph.png (file) |  |
5 KB | Tom | Category:Arccosineglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-1,1,0.001) f=np.vectorize(acos) y=f(x) fig, ax = p... | 1 |
| 21:43, 16 August 2015 | Mobiusmuplot,n=0..100.png (file) |  |
5 KB | Tom | DiscretePlot[MoebiusMu[n], {n, 0, 100}, Filling -> None] | 1 |
| 12:57, 19 January 2015 | Jacobidcthumb.png (file) |  |
5 KB | Tom | Plot[JacobiDC[x, 1/3], {x, -7, 7}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 18:46, 25 July 2015 | Plot of hyperbolic sinh integral.png (file) |  |
5 KB | Tom | Plot[SinhIntegral[z], {z, -10, 10}] | 1 |
| 18:40, 9 June 2016 | Jacobinc,m=0.8glyph.png (file) |  |
5 KB | Tom | Category:Jacobincglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-7.1,7.1,0.001) f=np.vectorize(lambda x: ellipfun('nc... | 1 |
| 12:58, 19 January 2015 | Jacobidsthumb.png (file) |  |
5 KB | Tom | Plot[JacobiDS[x, 1/3], {x, -7, 7}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 06:19, 10 January 2017 | Hypergeometric2f1,a=0.5,b=1,c=1.5,negativezsquared.png (file) |  |
5 KB | Tom | Category:hypergeometric2f1glyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x1=np.arange(-6,-0.0001,0.001) f=np.vectorize(lambda x:... | 1 |
| 18:11, 29 January 2016 | Cotangentglyph.png (file) |  |
5 KB | Tom | <pre> #!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(0.0000001,2*pi,0.00001) f=np.vectorize(cot) y=f(x) fig, ax = plt.subplots() pl... | 1 |
| 20:35, 14 May 2016 | Coshglyph.png (file) |  |
5 KB | Tom | Category:Coshglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-3,3,0.00001) f=np.vectorize(cosh) y=f(x) fig, ax = plt.... | 1 |
| 01:34, 5 January 2017 | Tancglyph.png (file) |  |
5 KB | Tom | Category:tancglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: tan(x)/x) y1=f(x1... | 1 |
| 12:58, 19 January 2015 | Jacobincthumb.png (file) |  |
5 KB | Tom | Plot[JacobiNC[x, 1/3], {x, -7, 7}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 18:31, 9 June 2016 | Jacobids,m=0.8glyph.png (file) |  |
5 KB | Tom | Category:Jacobidsglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-9.1,9.1,0.001) f=np.vectorize(lambda x: ellipfun('ds... | 2 |
| 05:00, 22 June 2016 | Totientglyph.png (file) |  |
5 KB | Tom | Category:totientglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt import fractions from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 def totient(n): amount = 0 for k... | 1 |
| 01:37, 5 January 2017 | Tanhcglyph.png (file) |  |
5 KB | Tom | Category:tanhcglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: tanh(x)/x) y1=f(... | 1 |
| 20:10, 9 July 2016 | Kelvinber,n=0glyph.png (file) |  |
5 KB | Tom | Category:kelvinberglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-8,8,0.01) f=np.vectorize(lambda x: ber(0,x)) y=f(x)... | 2 |
| 08:36, 19 January 2015 | Riemannxithumb.png (file) |  |
6 KB | Tom | Using RiemannXi[z_] := (1/2)*z*(z - 1)*Pi^(-z/2)*Gamma[z/2]*Zeta[z] and the code Plot[RiemannXi[x], {x, 0, 1}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 10:18, 19 January 2015 | Qfactorialthumb.png (file) |  |
6 KB | Tom | DiscretePlot[QFactorial[k, 1/4], {k, 0, 19}, PlotStyle -> {PointSize[0.04], Black}, FillingStyle -> None, AxesStyle -> Thickness[0.01], AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 21:26, 10 June 2016 | Besseli,n=0glyph.png (file) |  |
6 KB | Tom | Category:Besseliglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-3,3,0.01) x2=np.arange(-25,25,0.1) f=np.vectorize(la... | 3 |
| 19:37, 10 June 2016 | Scorergiglyph.png (file) |  |
6 KB | Tom | Category:scorergiglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-10,20,0.1) f=np.vectorize(scorergi) y=f(x) def g(x)... | 1 |
| 20:27, 9 July 2016 | Kelvinbei,n=1glyph.png (file) |  |
6 KB | Tom | Category:kelvinbeiglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-7,7,0.01) f=np.vectorize(lambda x: bei(1,x)) y=f(x)... | 1 |
| 12:56, 19 January 2015 | Jacobicsthumb.png (file) |  |
6 KB | Tom | Plot[JacobiCS[x, 1/3], {x, -5, 5}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 12:59, 19 January 2015 | Jacobiscthumb.png (file) |  |
6 KB | Tom | Plot[JacobiSC[x, 1/3], {x, -7, 7}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
| 03:44, 22 June 2016 | Eulerphiglyph.png (file) |  |
6 KB | Tom | Category:eulerphiglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-1,1,0.01) f=np.vectorize(lambda x: qp(x)) y=f(x) x2... | 2 |
| 01:10, 5 January 2017 | Jincglyph.png (file) |  |
6 KB | Tom | <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x1=np.arange(-20,20,0.01) f=np.vectorize(lambda x: besselj(1,x)/x) y1=f(x1) xvert=np.arange... | 1 |
| 18:53, 9 June 2016 | Jacobisc,m=0.8glyph.png (file) |  |
6 KB | Tom | Category:jacobiscglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-9.1,9.1,0.001) f=np.vectorize(lambda x: ellipfun('sc... | 1 |
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