#scilab — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #scilab, aggregated by home.social.
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#probability to generate samples of random variable
➡️ #scilab use grand() and specify the the low and parameters "def" for uniform in [0,1], "nor" for normal ... 👍
➡️ #gnuoctave use rand() for uniform in [0,1], randn() for norma N(0,1) rande() for exponential with parameter 1 , randp() for Poisson ...😐
➡️ #matlab use rand() or randn() or exprand() or ... nothing 🤦♂️ -
#probability to generate samples of random variable
➡️ #scilab use grand() and specify the the low and parameters "def" for uniform in [0,1], "nor" for normal ... 👍
➡️ #gnuoctave use rand() for uniform in [0,1], randn() for norma N(0,1) rande() for exponential with parameter 1 , randp() for Poisson ...😐
➡️ #matlab use rand() or randn() or exprand() or ... nothing 🤦♂️ -
#probability to generate samples of random variable
➡️ #scilab use grand() and specify the the low and parameters "def" for uniform in [0,1], "nor" for normal ... 👍
➡️ #gnuoctave use rand() for uniform in [0,1], randn() for norma N(0,1) rande() for exponential with parameter 1 , randp() for Poisson ...😐
➡️ #matlab use rand() or randn() or exprand() or ... nothing 🤦♂️ -
#probability to generate samples of random variable
➡️ #scilab use grand() and specify the the low and parameters "def" for uniform in [0,1], "nor" for normal ... 👍
➡️ #gnuoctave use rand() for uniform in [0,1], randn() for norma N(0,1) rande() for exponential with parameter 1 , randp() for Poisson ...😐
➡️ #matlab use rand() or randn() or exprand() or ... nothing 🤦♂️ -
🎉 Successfully conducted a webinar on #Scilab and #Xcos as part of the FOSSEE project, IIT Bombay.
Sessions like these help bridge the gap between academia, industry professionals, and accessible computational tools. It is encouraging to see growing interest in Free and Open Source Software for numerical computing and engineering applications.
▶️ Session recording:
https://www.youtube.com/live/-1ujPyB5KVo#FOSSEE #IITBombay #OpenSource #FLOSS #EngineeringEducation #NumericalComputing
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ESI Group released #Scilab version 2026.1.0. https://www.scilab.org/download
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ESI Group released #Scilab version 2026.1.0. https://www.scilab.org/download
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ESI Group released #Scilab version 2026.1.0. https://www.scilab.org/download
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ESI Group released #Scilab version 2026.1.0. https://www.scilab.org/download
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ESI Group released #Scilab version 2026.1.0. https://www.scilab.org/download
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SCI Lab: Finding common ground on divisive science
Dominique Brossard’s upbringing gave her a unique perspective on the ideological divides that today seem to animate much…
#UnitedStates #US #USA #america #artificialintelligence #DominiqueBrossard #RonStewart #SCILab #science #technology #unitedstatesofamerica
https://www.europesays.com/3000814/ -
Interested in numerical computing using open-source software?
Join our webinar on Scilab to learn about modelling, simulation, optimization, and data visualization for engineering applications.
📅 16 May 2026 | 4:00 PM IST
🔗 https://zoom.us/webinar/register/WN_-0CUKvimSxOfpaU06v4Yqw#/registration#Scilab #OpenSource #NumericalComputing #Engineering #FOSSEE #IITBombay #Webinar
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Hello Fediverse 👋
We are FOSSEE, IIT Bombay 🇮🇳
Empowering education through Free/Libre and Open Source Software (FLOSS).We promote open source in teaching & research, support FOSS development, build campus FOSSEE Clubs, and connect academia with industry.
Let’s collaborate 🤝
🌐 https://fossee.in
📩 [email protected]#FOSSEE #OpenSource #FLOSS #IITBombay #OpenEducation #Fediverse
#Scilab #Python #Openfoam #OpenModelica #DWSIM #esim #OSDAG #Arduino #FreeCAD #JMOL #Blender #Inkscape #synfig -
Hello Fediverse 👋
We are FOSSEE, IIT Bombay 🇮🇳
Empowering education through Free/Libre and Open Source Software (FLOSS).We promote open source in teaching & research, support FOSS development, build campus FOSSEE Clubs, and connect academia with industry.
Let’s collaborate 🤝
🌐 https://fossee.in
📩 [email protected]#FOSSEE #OpenSource #FLOSS #IITBombay #OpenEducation #Fediverse
#Scilab #Python #Openfoam #OpenModelica #DWSIM #esim #OSDAG #Arduino #FreeCAD #JMOL #Blender #Inkscape #synfig -
@das_g Mi uzas #LaTeX en #MagistraProgramo.
Mi lernis tre malmulte #MATLAB helpante studentojn. Sed sufiĉe por helpi amikinon kun ŝiaj hejmtaskoj ĉe #Scilab.
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@das_g Mi uzas #LaTeX en #MagistraProgramo.
Mi lernis tre malmulte #MATLAB helpante studentojn. Sed sufiĉe por helpi amikinon kun ŝiaj hejmtaskoj ĉe #Scilab.
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@das_g Mi uzas #LaTeX en #MagistraProgramo.
Mi lernis tre malmulte #MATLAB helpante studentojn. Sed sufiĉe por helpi amikinon kun ŝiaj hejmtaskoj ĉe #Scilab.
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@das_g Mi uzas #LaTeX en #MagistraProgramo.
Mi lernis tre malmulte #MATLAB helpante studentojn. Sed sufiĉe por helpi amikinon kun ŝiaj hejmtaskoj ĉe #Scilab.
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ESI Group released #Scilab version 2026.0.1. https://www.scilab.org/download
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ESI Group released #Scilab version 2026.0.1. https://www.scilab.org/download
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ESI Group released #Scilab version 2026.0.1. https://www.scilab.org/download
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ESI Group released #Scilab version 2026.0.1. https://www.scilab.org/download
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ESI Group released #Scilab version 2026.0.1. https://www.scilab.org/download
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starting from the conservation of the energy
(1/2)*m*(L(a)*a')^2+ m*g*y=Cst (1)
by derivation I get the additional term with a delta function compared to the preceding differential equation,. Then replacing this delta function by exp(-x^2/2s^2)/sqrt(2*pi*s^2), for a small s, I get a more realistic simulation. The energy is (almost) conserved (except near a=0), I should try to solve the first order differential equation (1) perhaps I will get a better result ...
#physics #mathematics #scilab -
starting from the conservation of the energy
(1/2)*m*(L(a)*a')^2+ m*g*y=Cst (1)
by derivation I get the additional term with a delta function compared to the preceding differential equation,. Then replacing this delta function by exp(-x^2/2s^2)/sqrt(2*pi*s^2), for a small s, I get a more realistic simulation. The energy is (almost) conserved (except near a=0), I should try to solve the first order differential equation (1) perhaps I will get a better result ...
#physics #mathematics #scilab -
starting from the conservation of the energy
(1/2)*m*(L(a)*a')^2+ m*g*y=Cst (1)
by derivation I get the additional term with a delta function compared to the preceding differential equation,. Then replacing this delta function by exp(-x^2/2s^2)/sqrt(2*pi*s^2), for a small s, I get a more realistic simulation. The energy is (almost) conserved (except near a=0), I should try to solve the first order differential equation (1) perhaps I will get a better result ...
#physics #mathematics #scilab -
starting from the conservation of the energy
(1/2)*m*(L(a)*a')^2+ m*g*y=Cst (1)
by derivation I get the additional term with a delta function compared to the preceding differential equation,. Then replacing this delta function by exp(-x^2/2s^2)/sqrt(2*pi*s^2), for a small s, I get a more realistic simulation. The energy is (almost) conserved (except near a=0), I should try to solve the first order differential equation (1) perhaps I will get a better result ...
#physics #mathematics #scilab -
I try to simulate an asymmetric pendulum, which length L(alpha) is l for alpha>0 and l/2 for alpha<0. I though the situation can be described by the differential equation :
L(alpha)*alpha'' +g*sin(alpha)=0
but when I plot the total energy over the time
E= (1/2)*m*(L(alpha)*alpha')^2+m*g*y
it is not constant !?! So I probably loose some term in the equation ... -
I try to simulate an asymmetric pendulum, which length L(alpha) is l for alpha>0 and l/2 for alpha<0. I though the situation can be described by the differential equation :
L(alpha)*alpha'' +m*g*sin(alpha)=0
but when I plot the total energy over the time
E= (1/2)*m*(L(alpha)*alpha')^2+m*g*y
it is not constant !?! So I probably loose some term in the equation ... -
I try to simulate an asymmetric pendulum, which length L(alpha) is l for alpha>0 and l/2 for alpha<0. I though the situation can be described by the differential equation :
L(alpha)*alpha'' +g*sin(alpha)=0
but when I plot the total energy over the time
E= (1/2)*m*(L(alpha)*alpha')^2+m*g*y
it is not constant !?! So I probably loose some term in the equation ... -
I try to simulate an asymmetric pendulum, which length L(alpha) is l for alpha>0 and l/2 for alpha<0. I though the situation can be described by the differential equation :
L(alpha)*alpha'' +g*sin(alpha)=0
but when I plot the total energy over the time
E= (1/2)*m*(L(alpha)*alpha')^2+m*g*y
it is not constant !?! So I probably loose some term in the equation ... -
I try to simulate an asymmetric pendulum, which length L(alpha) is l for alpha>0 and l/2 for alpha<0. I though the situation can be described by the differential equation :
L(alpha)*alpha'' +g*sin(alpha)=0
but when I plot the total energy over the time
E= (1/2)*m*(L(alpha)*alpha')^2+m*g*y
it is not constant !?! So I probably loose some term in the equation ... -
Now #scilab accept anonymous functions definition with a syntax close to #matlab #gnuoctave , this make translation between this langages easier. For example :
f=@(t) exp(-t.^2); %% octave syntax
f=#(t) -> (exp(-t.^2)); // scilab syntax -
Now #scilab accept anonymous functions definition with a syntax close to #matlab #gnuoctave , this make translation between this langages easier. For example :
f=@(t) exp(-t.^2); %% octave syntax
f=#(t) -> (exp(-t.^2)); // scilab syntax -
Now #scilab accept anonymous functions definition with a syntax close to #matlab #gnuoctave , this make translation between this langages easier. For example :
f=@(t) exp(-t.^2); %% octave syntax
f=#(t) -> (exp(-t.^2)); // scilab syntax -
Now #scilab accept anonymous functions definition with a syntax close to #matlab #gnuoctave , this make translation between this langages easier. For example :
f=@(t) exp(-t.^2); %% octave syntax
f=#(t) -> (exp(-t.^2)); // scilab syntax -
ESI Group released #Scilab version 2026.0.0. https://www.scilab.org/download
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ESI Group released #Scilab version 2026.0.0. https://www.scilab.org/download
-
ESI Group released #Scilab version 2026.0.0. https://www.scilab.org/download
-
ESI Group released #Scilab version 2026.0.0. https://www.scilab.org/download
-
ESI Group released #Scilab version 2026.0.0. https://www.scilab.org/download
-
ESI Group released #Scilab version 2025.1.0. https://www.scilab.org/download
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ESI Group released #Scilab version 2025.1.0. https://www.scilab.org/download
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ESI Group released #Scilab version 2025.1.0. https://www.scilab.org/download