10 Resultat har hittats för "Fil:Plot-exponential-decay.png".

Fil:Plot-exponential-decay.png

may select the license of your choice. Derivative works of this file:  Plot-exponential-decay.svg English Italian diagramma del decadimento esponenziale...


Fil:Plot-exponential-decay.svg

choice.   This W3C-unspecified plot was created with Gnuplot. set term svg fsize 16 size 800,600 set output "exponential-decay.svg" set border 3 set xtics...


Fil:Trasmit-ep.PNG

Actualisation 2006-10-09 22:17 PyroKristal 2212×1610× (90044 bytes) Ploting transmittance versus path lenght, produces an exponential decay curve. English...


Fil:OrnsteinUhlenbeck.png

length=800) set.seed(170945) png(filename="OrnsteinUhlenbeck.png", width=1200, height=900, pointsize=12) par(bg="grey86") plot(t,ou(init=c(0,0)),type="l"...


Fil:Kyllikki saari murder site ringed negative exponential 1 1 1 1.png

article. Python 3 code crime location analysis by truncated negative exponential python3 source code, uses folium test program only, maybe buggy here...


Fil:Atlanta murders geographical analysis negative exponential ring 2.png

## #mata1=exponential_ring(L, bufferi, f, g) ## nok mata1=exponential_ring(L, bufferi, 2, 2) ## nok #mata1=density_matrix() #mata1=exponential_distance(L...


Fil:Ion density fluctuations in plasma and their effects on hot electron generation (IA iondensityfluctu109455742).pdf

showing frequencies with fixed ions 36 Stimulated Raman Scattered streak in .png format 37 20m Fiber Correction Graph for OMEGA laser 39 Wavelength (nm) of...


Fil:Atlanta murders 1979 1981 williams geographical analysis truncated negative exponential ring only circa six inner points for estimation 1 1 1 1.png

Williams: Residence of main suspect of crimes. Thick red circle: negatixe exponential ring estimation of location of suspect, if six nearest-barycenter locations...


Fil:Atlanta murders 1979 1981 williams geographical analysis normal distribition ring 1 1 1 1.png

Example of geographic profiling of crime or geoprofiling on criminology. This plot has done with OpenStreetMap and Folium https://www.openstreetmap.org/copyright...


Fil:FITR penetration depth (n dependence).gif

#parameter n_werte = [1.9,1.8,1.7,1.6,1.5,1.4,1.3,1.2,1.1] kurvenschar = [plot(f(x,n=k),bereich,hue=(k),legend_label="n="+str(k)[0:3], gridlines=true) for...