home.social

#scilab — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #scilab, aggregated by home.social.

  1. #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 🤦‍♂️

  2. #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 🤦‍♂️

  3. #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 🤦‍♂️

  4. #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 🤦‍♂️

  5. 🎉 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:
    youtube.com/live/-1ujPyB5KVo

    📩 [email protected]

    #FOSSEE #IITBombay #OpenSource #FLOSS #EngineeringEducation #NumericalComputing

  6. 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
    europesays.com/3000814/

  7. 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
    🔗 zoom.us/webinar/register/WN_-0

    #Scilab #OpenSource #NumericalComputing #Engineering #FOSSEE #IITBombay #Webinar

  8. The Scariest Literature?

    I feel Signals and Systems isn't too scary if accompanied with #MATLAB, GNU #Octave, #Scilab, or similar. And if you have #ham radio experience, you can do VERY well in this class! This did give me a run for my money in undergrad though.

  9. 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 🤝

    🌐 fossee.in
    📩 [email protected]

    #FOSSEE #OpenSource #FLOSS #IITBombay #OpenEducation #Fediverse
    #Scilab #Python #Openfoam #OpenModelica #DWSIM #esim #OSDAG #Arduino #FreeCAD #JMOL #Blender #Inkscape #synfig

  10. 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 🤝

    🌐 fossee.in
    📩 [email protected]

    #FOSSEE #OpenSource #FLOSS #IITBombay #OpenEducation #Fediverse
    #Scilab #Python #Openfoam #OpenModelica #DWSIM #esim #OSDAG #Arduino #FreeCAD #JMOL #Blender #Inkscape #synfig

  11. @das_g Mi uzas #LaTeX en #MagistraProgramo.

    Mi lernis tre malmulte #MATLAB helpante studentojn. Sed sufiĉe por helpi amikinon kun ŝiaj hejmtaskoj ĉe #Scilab.

    #Esperanto

  12. @das_g Mi uzas #LaTeX en #MagistraProgramo.

    Mi lernis tre malmulte #MATLAB helpante studentojn. Sed sufiĉe por helpi amikinon kun ŝiaj hejmtaskoj ĉe #Scilab.

    #Esperanto

  13. @das_g Mi uzas #LaTeX en #MagistraProgramo.

    Mi lernis tre malmulte #MATLAB helpante studentojn. Sed sufiĉe por helpi amikinon kun ŝiaj hejmtaskoj ĉe #Scilab.

    #Esperanto

  14. @das_g Mi uzas #LaTeX en #MagistraProgramo.

    Mi lernis tre malmulte #MATLAB helpante studentojn. Sed sufiĉe por helpi amikinon kun ŝiaj hejmtaskoj ĉe #Scilab.

    #Esperanto

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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 ...

    #physics #mathematics #scilab

  20. 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 ...

    #physics #mathematics #scilab

  21. 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 ...

    #physics #mathematics #scilab

  22. 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 ...

    #physics #mathematics #scilab

  23. 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 ...

    #physics #mathematics #scilab

  24. 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

    help.scilab.org/lambda

  25. 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

    help.scilab.org/lambda

  26. 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

    help.scilab.org/lambda

  27. 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

    help.scilab.org/lambda

  28. @jbowen

    I have only used Octave in Machine Learning courses

    With my low usage of it, I have seen it as super close equivalent to Scilab

    Do you know if (and why) one is preferred over the other? #octave #scilab

  29. @jbowen

    I have only used Octave in Machine Learning courses

    With my low usage of it, I have seen it as super close equivalent to Scilab

    Do you know if (and why) one is preferred over the other? #octave #scilab

  30. @jbowen

    I have only used Octave in Machine Learning courses

    With my low usage of it, I have seen it as super close equivalent to Scilab

    Do you know if (and why) one is preferred over the other? #octave #scilab

  31. @jbowen

    I have only used Octave in Machine Learning courses

    With my low usage of it, I have seen it as super close equivalent to Scilab

    Do you know if (and why) one is preferred over the other? #octave #scilab

  32. @jbowen

    I have only used Octave in Machine Learning courses

    With my low usage of it, I have seen it as super close equivalent to Scilab

    Do you know if (and why) one is preferred over the other? #octave #scilab