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Zoom of the Mandelbrot set around a point projected so that the distance to the point forms a logarithmic scale. Details on the left edge are ~10^15 times smaller than on the right edge.

 

The rightmost black blob in the pictures is the main "continent" of the set. Satelite sets of different sizes can be seen linked by fractal chains of varying complexity.

 

The colors are set using the distance estimator method.

Pork-chop plot showing total delta-v needed for moving from Luna to Venus.

 

It does not make use of Oberth maneuvers or multiple orbits around the sun, so these values are a bit higher than they would be in a real mission. Given that these are intended for use in a roleplaying game, that is probably enough precision anyway.

Tile of spiral triangle generated in MATLAB. Inspiration

www.physics.emory.edu/~weeks/ideas/spiral.html

A plot of the currently known asteroids within ~6 AU from the sun. Note the two Trojan clouds of Jupiter outside the main belt.

The Mandelbrot set near c=-1.370505+0.009i.

Zoom of the Mandelbrot set around a point projected so that the distance to the point forms a logarithmic scale. Details on the left edge are ~10^15 times smaller than on the right edge.

 

The rightmost black blob in the pictures is the main "continent" of the set. Satelite sets of different sizes can be seen linked by fractal chains of varying complexity.

 

The colors are set using the distance estimator method.

پروژه تشخیص دیابت رتینوپاتی با الگوریتم رشد ناحیه ای در MATLAB

در این پست پروژه تشخیص دیابت رتینوپاتی با الگوریتم رشد ناحیه ای را در متلب آماده کرده ایم که یک پروژه مناسب در زمینه بینایی ماشین و پردازش تصویر است. در ادامه به توضیحاتی در رابطه با دیابت رتینوپاتی پرداخته و فیلم و تصاویری از خروجی ...

 

www.noavarangermi.ir/%d8%aa%d8%b4%d8%ae%db%8c%d8%b5-%d8%a...

Part of the "seahorse valley" of the Mandelbrot set, colored based on orbit.

Zooms of the Mandelbrot set around a point projected so that the distance to the point forms a logarithmic scale. Details on the left edge are ~10^15 times smaller than on the right edge.

 

The rightmost black blob in the pictures is the main "continent" of the set. Satelite sets of different sizes can be seen linked by fractal chains of varying complexity.

 

The colors are set using the distance estimator method.

Pork-chop plot showing total delta-v needed for moving from Mercury to Luna.

 

It does not make use of Oberth maneuvers or multiple orbits around the sun, so these values are a bit higher than they would be in a real mission. Given that these are intended for use in a roleplaying game, that is probably enough precision anyway.

Roti, kapda aur dawa

Ghar rehne ko chhota sa

Muft mujhe talim dila

Mein bhi Musalmaan hoon wallah

Pakistan ka matlab kya

La Ilaha Illalah…

 

Amrika se mang na bhik

Mat kar logon ki tazhik

Rok na janhoori tehrik

Chhod na azadi ki rah

Pakistan ka matlab hai kya

La Ilaha Illalah…

 

Khet waderon se le lo

Milen luteron se le lo

Mulk andheron se le lo

Rahe na koi Alijah

Pakistan ka matlab kya

La Ilaha Illalah…

 

Topography maps of Titan based on the data in Lorenz et al. "A global topographic map of Titan" Icarus 225 (2013) 367–377.

 

The maps are based on small strips of Cassini radar observations that have been interpolated with splines; the real topography is of course more fractal. The elevations are fairly flat, with higher regions at the sub- and anti-saturnian points.

The movement of the "economic centre of gravity" across history.

 

The centre was calculated by taking the Maddison historical economy dataset and calculate the GDP-weighted average of the country locations (taken from the Nationmaster database). This point is located inside the Earth, so it was projected radially onto the surface and plotted with a Lambert projection.

 

See also www.aleph.se/andart/archives/2011/04/why_bayadaratskaya_b...

Pork-chop plot showing total delta-v needed for moving from Mars to Venus.

 

It does not make use of Oberth maneuvers or multiple orbits around the sun, so these values are a bit higher than they would be in a real mission. Given that these are intended for use in a roleplaying game, that is probably enough precision anyway.

Zoom of the Mandelbrot set around a point projected so that the distance to the point forms a logarithmic scale. Details on the left edge are ~10^15 times smaller than on the right edge.

 

The rightmost black blob in the pictures is the main "continent" of the set. Satelite sets of different sizes can be seen linked by fractal chains of varying complexity.

 

The colors are set using the distance estimator method.

CHAPMAN, Stephen J.. Programação em MATLAB para engenheiros. [MATLAB programming for engineers2 reimpr. oh the 1 ed 2003 (Inglês)]. Tradução de Flávio Soares Correa da Silva. 2 reimpr. São Paulo: Cengage Learning, 2009. xxi, 477 p. Inclui índice; il. tab. graf.; 26cm. ISBN 8522103259.

 

Notas de conteúdo:

# Capítulo 1: Introdução ao MATLAB

# Capítulo 2: MATLAB básico

# Capítulo 3: Expressões de ramigicação e projeto de programa

# Capítulo 4: Laços

# Capítulo 5: Funções definidas pelo usuário

# Capítulo 6: Dados complexos, dados de caracteres e tipos adicionais de diagramas

# Capítulo 7: Matrizes esparsas, matrizes celulares e estruturas

# Capítulo 8: Funções de entrada/ saída

# Capítulo 9: Gráficos de controle

# Capítulo 10: Interfaces gráficas de usuários

# Apêndice A: Conjunto de caracteres ASCII

# Apêndice B: Respostas dos testes

 

Palavras-chave:

MATLAB/Programa de computador; ANALISE NUMERICA/Processamento de dados.

 

CDU 519.6 / C466 / 2 reimpr. / 2009

From a photo by Sergey Karandeev. Generated by software I developed to convert photos into images composed of Lego bricks

The Mandelbrot set near c=-1.370505+0.009i.

The logo design for Matlab, trimmed into a bush

Pork-chop plot showing total delta-v needed for moving from Mars to Luna.

 

It does not make use of Oberth maneuvers or multiple orbits around the sun, so these values are a bit higher than they would be in a real mission. Given that these are intended for use in a roleplaying game, that is probably enough precision anyway.

Working with MATLAB (3D graphs) on Arch Linux. Using xfce desktop.

Zooms of the Mandelbrot set around a point projected so that the distance to the point forms a logarithmic scale. Details on the left edge are ~10^15 times smaller than on the right edge.

 

The rightmost black blob in the pictures is the main "continent" of the set. Satelite sets of different sizes can be seen linked by fractal chains of varying complexity.

 

The colors are set using the distance estimator method.

Pork-chop plot showing total delta-v needed for moving from Mars to Saturn.

 

It does not make use of Oberth maneuvers or multiple orbits around the sun, so these values are a bit higher than they would be in a real mission. Given that these are intended for use in a roleplaying game, that is probably enough precision anyway.

The Mandelbrot set, where the real part of iterates is shown on the vertical axis and the imaginary part as color. The large bulb to the left of the cardioid is clearly seen to consist of 2-cycles, and to the left of it there is a typical Feigenbaum tree of period doublings. There are smaller trees along the entire border, but they merely look like noisy pillars at this resolution.

 

Although the real parts of two of the three periods of the the 3-cycles on top and bottom of the cardioid overlap, they have different imaginary parts (as can be seen in their color as they cut through each other).

Point set generated by inversions in a group of unit spheres located at the corners of a cube with side = 2. The set approximates the invariant set of the group of inversions and consists of an Apollonian gasket between the circles inscribed on the cube surface.

Pork-chop plot showing total delta-v needed for moving from Mars to Mercury.

 

It does not make use of Oberth maneuvers or multiple orbits around the sun, so these values are a bit higher than they would be in a real mission. Given that these are intended for use in a roleplaying game, that is probably enough precision anyway.

The Mammals, displayed using a further development of my Voronoi treemap code. Each polygon represents a mammalian species or group of species, distributed inside larger groupings. The color is mostly ornamental, but extinct species and groups are turned dull and gray.

 

Humans are (like in my previous version) in the light blue area to the upper right. Our species is the turquoise pentagon neighboring six extinct hominid species. We better make sure we don't lose our color either.

Knot generated in MATLAB and rendered in Sunflow.

The probability density of human-level AI implied by the answers to the Winter Intelligence conference survey. Respondents gave not only their estimates for when it was 50% chance of human-level AI but also 10% and 90%. Fitting a skew Gaussian or a triangular probability distribution to each answer, the resulting average probability density gives an estimate of the collective belief. The blue field represents skew Gaussian fits, the red line triangular fits.

 

The probability density in the past is due to tails of the component distributions being forced to extend before the present by certain answers.

Square Baravelle spiral tile generated in MATLAB.

I wrote a Matlab program that does a coherent "time delay of arrival" analysis on the seismic channels (currently only considering the Z direction). In examining the waveforms from the Mt. St. Helens event, the analysis gives a bearing to the source of 261.9 degrees. Computing a bearing using the published epicenter of the earthquake and the LHO location using the WGS84 earth model gives an actual bearing to the published epicenter of 263.9 degrees, a difference of 2 degrees. At the distance of Mt. St. Helens this corresponds to a distance of 7.5 km.

 

The figure at left shows the waveforms from the six seismometers at this time, after filtering with an elliptical bandpass filter with a pass band of 1-5 Hz, and decimation by a factor of ten. I estimated (using Google Maps) the location of the seismic vault in "LIGO coordinates" to be X=1040m, y=186m. The figure at right shows the "power" (not well-defined) associated with various wavevectors; the X axis gives "east slowness" and the Y axis gives "north slowness," in seconds per kilometer. The circle indicates a velocity of 5000 m/s, the approximate velocity of P-waves in rock. The seismometer locations are superimposed for directional reference only.

 

I am interested in whether this could be used to image local seismic noise.

Klein bottle generated in MATLAB and rendered in Sunflow.

The generalized Mandelbrot set for f(z)=z^2+c/z^3.

Projection of plane on sphere.Generated in MATLAB.

  

Enneper Surface generated in MATLAB and rendered in SunFlow.Formula taken from Paul Nylander website.

nylander.wordpress.com/2005/06/04/fourth-enneper-surface/

PPL Lab

?

Project: Wind Power Eliminator

Group: Thien Pham, Matheus Sousa

The Wind Power Eliminator is a complete stand-alone wind energy system, capable of emulating real-time behavior of wind generator. The Arduino based controller is implemented using MATLAB and Simulink software.

 

Dr Mohammad Sirajul Islam, icddr,b at Matlab Bazaar - a defined surveillance area in Bangladesh near the Meghna River, with health and demographic data spanning multiple decades. Matlab is the location for REACH's Observatory on Universal Drinking Water Security.

 

Photo credit: Alex Fischer/REACH

 

www.reachwater.org.uk

 

If you use one of our photos, please credit it accordingly and let us know. You can reach us via Flickr or at reach@water.ox.ac.uk

menu editor, matlab,

Colored by imaginary part of z in the Weierstrass representation.

Zooms of the Mandelbrot set around a point projected so that the distance to the point forms a logarithmic scale. Details on the left edge are ~10^15 times smaller than on the right edge.

 

The rightmost black blob in the pictures is the main "continent" of the set. Satelite sets of different sizes can be seen linked by fractal chains of varying complexity.

 

The colors are set using the distance estimator method.

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