<content> <p>Draw-Descriptions (Maxima)</p> </content>

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R 8.31447 J mol K * / * :

M.CO2 44.01 kg kmol / * :

r.CO2 R M.CO2 / : J kg K * / 188.9223

p T ρ D P p T T CO2 CoolProp_Props :

p T ΔZ 1001 p r.CO2 T * p T ρ * / - (* :

p 1205 range bar * :

T 5 - 100 range °C * :

k 1 p length range j 1 T length range ΔZ k j el p k el T j el ΔZ : for for

ΔZ 0.7062 0.6643 0.6256 0.5898 3.6185 3.3976 3.1943 3.0068 6.6831 6.2608 5.8741 5.5192 9.9301 9.2768 8.6828 8.1407 13.4013 12.4766 11.6434 10.8886 54 mat

<content> <p>Draw-Descriptions (Maxima)</p> </content> <content> <p>Draw-Descriptions (Maxima)</p> </content>

dOptionen

Options

[Maxima Draw] adapt_depth (=10): maximale Teilungstiefe der adaptive Kurvenabtastung. [Maxima Draw] adapt_depth (=10): maximum number of adaptive interval splits when drawing curves. addapt_depth adapt_depth :

[Maxima Draw3D] axis_3d (=true): Achsen zeichnen, false: keine Achsen zeichnen. Globale Option. [Maxima Draw3D] axis_3d (=true): draw axes, false: don't draw axes. Global option. axis_3d axis_3d :

[Maxima Draw2D] axis_bottom (=true): untere Achse zeichnen, false: Achse nicht zeichnen. Globale Option. [Maxima Draw2D]  axis_bottom (=true): draw bottom axis, false: don't draw axis. Global option. axis_bottom axis_bottom :

[Maxima Draw2D] axis_top (=true): obere Achse zeichnen, false: Achse nicht zeichnen. Globale Option. [Maxima Draw2D] axis_top (=true): draw top axis, false: don't draw axis. Global option. axis_top axis_top :

[Maxima Draw2D] axis_left (=true): linke Achse zeichnen, false: Achse nicht zeichnen. Globale Option. [Maxima Draw2D] axis_left (=true): draw left axis, false: don't draw axis. Global option. axis_left axis_left :

[Maxima Draw2D] axis_right (=true): rechte Achse zeichnen, false: Achse nicht zeichnen. Globale Option. [Maxima Draw2D] axis_right (=true): draw right axis, false: don't draw axis. Global option. axis_right axis_right :

[Maxima Draw] background_color (=white): Hintergrundfarbe des Diagramms. Globale Option. [Maxima Draw] background_color (=white): background color of the plot. Global option. background_color background_color :

[Maxima Draw] border (=true): Ränder von polygon(), ellipse(), quadrilateral(), triangle() oder rectangle() zeichnen. [Maxima Draw] border (=true): draw borders of polygon(), ellipse(), quadrilateral(), triangle() or rectangle()objects. border border :

[Maxima Draw3D] capping(=false): Endflächen an tube()-Objekten, false, true oder Liste mit zwei Werten. [Maxima Draw3D] capping (=false): indicates if extremes of the tube object remain open (false) or are closed (true). If only one end is to be closed, provide a list with two entries. capping capping :

[Maxima Draw] cbrange (=auto): Farbbereich Liste [min,max]. Globale Option. [Maxima Draw] cbrange (=auto): color bar range, list [min,max]. Global option. cbrange cbrange :

[Maxima Draw] cbtics (=auto): Marken an der Farblegende. Globale Option. [Maxima Draw] cbtics (=auto): color bar tick marks. Global option. cbtics cbtics :

[Maxima Draw] color (=blue): Farbe für Linien, Punkte, Kanten und Text, als Namen oder hexadezimal in der Form RGB "#rrggbb" oder RGBA "#rrggbbaa". A steht für Transparenz. [Maxima Draw] color (=blue): color for lines, points, borders and text, given as name, as RGB "#rrggbb" or as RGBA "#rrggbbaa" with A (alpha) being transparency. color color :

[Maxima Draw] colorbox (=true): Farblegende ohne Beschriftung zeichnen, false: keine Farblegende zeichnen, text: Farblegende mit text als Beschriftung zeichnen. Globale Option. [Maxima Draw] colorbox (=true): draw color scale without label, false: no colorbar, string: draw colorbar with string as label. Global option. colorbox colorbox :

[Maxima Draw3D] contour (=none): Art der Höhenlinien. none: keine, base: auf der xy-Ebene, surface: auf der 3D-Fläche, both: auf xy-Ebene und Fläche, map: auf xy-Ebene und Blickrichtung senkrecht. Globale Option. [Maxima Draw3D] contour (=none): contour lines. none: no contours, base: on xy plane, surface: on 3D surface, both: on xy plane and surface, map: on xy plane plus vertical view. Global option. See also contour_levels. contour contour :

[Maxima Draw3D] contour_levels (=5): Werte für die Höhenlinien. Anzahl oder Liste [min, Δ, max], oder set(L1, L2,...) mit Werten. Globale Option. [Maxima Draw3D] contour_levels (=5): contour levels. number oder list [min, Δ, max], or set(L1, L2,...) of values. Global option. contour_levels contour_levels :

[Maxima Draw] data_file_name (="data.gnuplot"): Kurvendaten für Gnuplot [Maxima Draw] data_file_name (="data.gnuplot"): internal data file name for gnuplot data_file_name data_file_name :

[Maxima Draw] delay (=5) Zeitschritt in animierten gif-Dateien. Nur für originale Maxima(draw2d/3d). Globale Option. [Maxima Draw]  delay (=5): time step in animted gif files. Applies only for native Maxima(draw2d/3d). Global option. delay delay :

[Maxima Draw] dimensions (= 600 x 500): Liste [Breite,Höhe]. Nur für originale Maxima(draw2d/3d). Globale Option. [Maxima Draw] dimensions (= 600 x 50:0): list [width, height]. Applies only for native Maxima(draw2d/3d). Global option. dimensions dimensions :

[Maxima Draw] draw_realpart (=true) Realteil zur Darstellung komplexer Werte verwenden. [Maxima Draw] draw_realpart (=true) use real part for plotting complex values. draw_realpart draw_realpart :

[Maxima Draw] enhanced3d (=none) Farbpalette, none: 3D Flächen als Gitter zeichnen (Steuerung mit color und surface_hide), true: Farbe anhand des z-Werts, Liste  [f(x,y,z), x, y, z]: Farbe anhand der Funktion f, Liste [f(u,v),u,v]: Farbe anhand der Flächenparameter oder Liste [f(k), k ]: Farbe anhand der Punktnummer in points() Objekten. [Maxima Draw3D] enhanced3d (=true) coloring of surfaces by z-value, (control using color und surface_hide), false: draw 3D surfaces as grid, or list [f(x,y,z), x, y, z]: coloring according to function f or list [f(u,v),u,v] or list [f(k), k ] (k being the point counter in points() objects). enhanced3d enhanced3d :

[Maxima Draw2D] error_type (=y) Art der Fehlerbalken in errors():  x, y, xy oder boxes. [Maxima Draw2D] error_type (=y) type of error bars in errors():  x, y, xy or boxes. error_type error_type :

[Maxima Draw] file_name (="maxima_out") Grafik-Ausgabedatei, Endung wird gemäß Ausgabeformat ergänzt. Globale Option. [Maxima Draw] file_name (="maxima_out") output file, extension is set according to format. Global option. Only for experts. file_name file_name :

[Maxima Draw2D] fill_color (=red) Füllfarbe für Objekte polygon() und explicit(). [Maxima Draw2D] fill_color (=red) fill color for polygons and explicit functions y(x). fill_color fill_color :

[Maxima Draw] fill_density (=0) Deckungsgrad der Füllfarbe in bars()-Objekten, zwischen 0 und 1. Für andere Objekte benutzen Sie option color mit der Transparenz aa in "rrggbbaa". [Maxima Draw] fill_density (=0) opacity of the fill color in bars()-objects, 0..1. For other objects use option color with transparency aa in "#rrggbbaa". fill_density fill_density :

[Maxima Draw2D] filled_func (=false): explizite Funktionen y(x) werden nicht gefüllt, true: Füllung bis zur Unterkante des Diagramms, g(x): Füllung zwischen g(x) und y(x). [Maxima Draw2D] filled_func (=false): don't fill explicit functions y(x), true: fill between the next explicit() object and the bottom border of the diagram, g(x): fill between g(x) and the next explicit() object. filled_func filled_func :

[Maxima Draw] gnuplot_file_name (="maxout.gnuplot"): Kommandodatei für Gnuplot. Gobale Option nur für Experten. [Maxima Draw] gnuplot_file_name (="maxout.gnuplot"): name of the temporary gnuplot command file. Global option. Only for experts. gnuplot_file_name gnuplot_file_name :

[Maxima Draw] gnuplot_term (): Ausgabe-Format-Spezifikation (Text nach "set terminal"). Gobale Option nur für Experten. [Maxima Draw] gnuplot_term (): gnuplot terminal options (arguments of "set terminal"). Global option. Only for experts. Use name argument of Draw2D() or Draw3D for format specification. gnuplot_term gnuplot_term :

[Maxima Draw] gnuplot_out_file (=maxplot.xxx) Ausgabedateiname (xxx abhängig vom Format). Gobale Option nur für Experten. [Maxima Draw] gnuplot_out_file (=maxplot.xxx) output file name (xxx depends on terminal). Global option. Only for experts. gnuplot_out_file gnuplot_out_file :

[Maxima Draw] grid (=true): Gitterraster zeichnen, false: kein Gitter zeichnen. Global option. [Maxima Draw] grid (=true): draw xy grid, false: don't draw grid. Global option. grid grid :

[Maxima Draw] head_angle (=45) Pfeilwinkel an vector()-Objekten (halber Öffnungswinkel in °) [Maxima Draw] head_angle (=45): head angle of vector()-objects (angle between border and vector  direction in °) head_angle head_angle :

[Maxima Draw] head_both (=false) oder true: ob bei vector()-Objekten zwei Pfeilspitzen gezeichnet werden. [Maxima Draw] head_both (=false): don't draw a second head of vector() objects, true: draw a second head. head_both head_both :

[Maxima Draw] head_length (=2) Länge der Pfeilspitze bei vector()-Objekten in Einheiten der x-Achse. [Maxima Draw] head_length (=2): head length of vector() objects in units of the x-axis. head_length head_length :

[Maxima Draw] head_type (=filled) Spitzenform bei vector()-Objekten: filled, empty oder nonfilled. [Maxima Draw] head_type (=filled) head type of vector() objects: filled ▲, empty ∆ or nofilled Λ. head_type head_type :

[Maxima Draw] interpolate_color (=false) Farbglättung auf Facetten. true: Optimale Glättung, Liste [n, m] Zahl der Unterteilung. false: Einheitliche Farbe. [Maxima Draw] interpolate_color (=false) color smoothing on facets. true: optimal smoothing, list [n, m] number of subdivisions. false: homogeneous color. interpolate_color interpolate_color :

[Maxima Draw] ip_grid (=Liste [50, 50] ): Primäres Gitter für die Darstellung impliziter Funktionen, als Liste angeben. [Maxima Draw] ip_grid (= list[50, 50] ): primary grid for sampling of implicit functions, two-element list. ip_grid ip_grid :

[Maxima Draw3D] ip_grid_in (= Liste [5, 5] ): Sekundäres Gitter für die Darstellung impliziter Funktionen. [Maxima Draw3D] ip_grid_in (= list [5, 5] ): secondary grid for sampling of implicit functions. ip_grid_in ip_grid_in :

[Maxima Draw] key (=""): Legendeneintrag für das nachfolgende Grafikobjekt. [Maxima Draw] key (=""): legend key for subsequent graphics object. key key :

[Maxima Draw] key_pos (="", entspricht top_right): Legendenposition. Gültige Werte: top_left, top_center, top_right, center_left, center, center_right, bottom_left, bottom_center, bottom_right. Globale Option. [Maxima Draw] key_pos (="", equivalent to top_right): position of the legend. Valid options: top_left, top_center, top_right, center_left, center, center_right, bottom_left, bottom_center, bottom_right. Global option key_pos key_pos :

[Maxima Draw] label_alignment (=center), left oder right: horizontale Ausrichtung von Beschriftungen. [Maxima Draw] label_alignment (=center), left or right: alignment of text labels. label_alignment label_alignment :

[Maxima Draw] label_orientation (=horizontal) oder vertical: Ausrichtung von Texten. [Maxima Draw] label_orientation (=horizontal) or vertical: orientation of text labels. label_orientation label_orientation :

[Maxima Draw] line_type (=solid) Linienart. Alternativen: dots (für alle Formate) oder wenn von Gnuplot unterstützt: dashes, short_dashes, short_long_dashes, short_short_long_dashes. [Maxima Draw] line_type (=solid) line type. Other options: dots (for all formats) or if supported by Gnuplot: dashes, short_dashes, short_long_dashes, short_short_long_dashes. line_type line_type :

[Maxima Draw] line_width (=1) Linienstärke, >0. [Maxima Draw] line_width (=1) line width, >0. line_width line_width :

[Maxima Draw] logcb (=false) oder true: logarithmische Farbskale. Globale Option. [Maxima Draw] logcb (=false) or true: log scale of the colorbar. Global option. logcb logcb :

[Maxima Draw] logx (=false) oder true: logarithmische x-Achse. Globale Option. [Maxima Draw] logx (=false) or true: log scale of x-axis. Global option. logx logx :

[Maxima Draw2D] logx_secondary (=false) oder true: logarithmische zweite x-Achse. Globale Option. [Maxima Draw2D] logx_secondary (=false) or true: log scale of secondary x-axis. Global option. logx_secondary logx_secondary :

[Maxima Draw] logy (=false) oder true: logarithmische y-Achse. Globale Option. [Maxima Draw] logy (=false) or true: log scale of y-axis. Global option. logy logy :

[Maxima Draw2D] logy_secondary (=false) oder true: logarithmische zweite y-Achse. Globale Option. [Maxima Draw2D] logy_secondary (=false) or true: log scale of secondary y-axis. Global option. logy_secondary logy_secondary :

[Maxima Draw] logz (=false) oder true: logarithmische z-Achse. Globale Option. [Maxima Draw] logz (=false) or true: log scale of z-axis. Global option. logz logz :

[Maxima Draw] nticks (=29): Punktezahl für die Kurvenabtastung [Maxima Draw] nticks (=29): number of points for curve sampling (explicit and parametric) nticks nticks :

[Maxima Draw] palette (=color) Standard-Farbpalette, gray: Graustufen, Liste [Farbe1, Farbe2...]: Interpolation über die gegebenen Farben. Globale Option. [Maxima Draw] palette (=color) default color palette, gray: gray levels, or list [color1, color2...]: interpolation over the given set of colors. Global option. palette palette :

[Maxima Draw] point_size (=1) Größe von points()-Symbolen. [Maxima Draw] point_size (=1) size of points()-symbols. point_size point_size :

[Maxima Draw] point_type (=1) Symbol für points()-Objekte, Name oder Kennzahl: none -1, dot 0, plus 1, multiply 2, asterisk 3, square 4, filled_square 5, circle 6, filled_circle 7, up_triangle 8, filled_up_triangle 9, down_triangle 10, filled_dwn_triangle 11, diamant 12, filled_diamant 13 [Maxima Draw] point_type (=1) type of points() objects, name or key number: none -1, dot 0, plus 1, multiply 2, asterisk 3, square 4, filled_square 5, circle 6, filled_circle 7, up_triangle 8, filled_up_triangle 9, down_triangle 10, filled_down_triangle 11, diamant 12, filled_diamant 13 point_type point_type :

[Maxima Draw] points_joined (=false), true oder impulses: Verbindungsart von points()-Objekten [Maxima Draw] points_joined (=false), true or impulses: how to join points points_joined points_joined :

[Maxima Draw] proportional_axes (=none), xy oder xyz: Achsen mit gleicher Skalierung). Globale Option. [Maxima Draw] proportional_axes (=none), xy or xyz: set axes of equal scaling). Global option. proportional_axes proportional_axes :

[Maxima Draw3D] surface_hide (=false) oder true: Ausblendung verdeckter Flächen bei Linienrasterdarstellung. Nur relevant wenn enhanced3D=false. [Maxima Draw3D] surface_hide (=false) or true: handling of hidden lines in surface grids. Only relevant if enhanced2d=false. surface_hide surface_hide :

[Maxima Draw] terminal (=screen) Ausgabeart. screen: Separates Ausgabefenster, png, jpg, gif, eps, svg, pdf, animated_gif: Gnuplot Ausgabeformat. Globale Option. Nur für Experten. Nutzen Sie das Name-Argument von Draw2D()/3D(). [Maxima Draw] terminal (=screen) separate interactive terminal window,  png, jpg, gif, eps, svg, pdf, animated_gif: gnuplot output format. Global option. Only for experts. Use name argument of Draw2D/3D instead. terminal terminal :

[Maxima Draw] title (="") Überschrift für das Diagramm. Globale Option. [Maxima Draw] title (="") headline for the plot. Global option title title :

[Maxima Draw] transform (=none) Koordinatentransformation, für 2D als Liste [f1(x,y), f2(x,y), x, y], für 3D als Liste [f1(x,y), f2(x,y), f3(x, y, z), x, y, z] [Maxima Draw] transform (=none) co-ordinate transformation, for 2D as list [f1(x,y), f2(x,y), x, y], for 3D as list [f1(x,y), f2(x,y), f3(x, y, z), x, y, z] transform transform :

[Maxima Draw] transparent (=false) oder true: ob Rechtecke, Polygone oder Ellipsen transparent sein sollen (bei false werden sie gefüllt). Für echte Transparenz nutzen Sie die Option color mit dem Transparenzwert aa der RGBA Farbspezifikation "#rrggbbaa". [Maxima Draw] transparent (=false) fill objects with border, true: don't fill (make them transparent). For actual transparency use RGBA color "rrggbbaa" with the color option. transparent transparent :

[Maxima Draw] unit_vectors (=false) oder true: Vektoren in originaler Länge oder als Einheitsvektoren zeichnen. [Maxima Draw] unit_vectors (=false) draw vectors in original length, true: draw unit vectors. unit_vectors unit_vectors :

[Maxima Draw] user_preamble (="") Zeichenkette oder Liste von Zeichenketten, die unmittelbar vor dem eigentlichen Diagrammbefehl an Gnuplot übergeben werden. Globale Option. [Maxima Draw] user_preamble (="") string or list of strings, gnuplot commands placed  immediately before the plot commands. Global option user_preamble user_preamble :

[Maxima Draw] view (=(60,30)) Blickrichtung (Zenithwinkel von z aus, Azimutwinkel von x aus). Globale Option. [Maxima Draw] view (=(60,30)) view direction (zenith angle from z, azimut angle from x). Global option. view view :

[Maxima Draw] wired_surface (=false) oder true: Gitternetz auf eingefärbten Flächen anzeigen oder nicht. Globale Option. [Maxima Draw] wired_surface (=false) no grid on colored surfaces, true: draw grid on surfaces. No color control. Global option. wired_surface wired_surface :

[Maxima Draw3D] x_voxel (=10) x-Bereichsteilung für den Marching-Cubes-Algorithmus bei implizit gegebenen Flächen. [Maxima Draw3D] x_voxel (=10) number of x steps for the Marching Cubes algorithm (for implicit 3D functions). Also used for region(). x_voxel x_voxel :

[Maxima Draw3D] y_voxel (=10) y-Bereichsteilung für den  Marching-Cubes-Algorithmus bei implizit gegebenen Flächen. [Maxima Draw3D] y_voxel (=10) number of y steps for the Marching Cube algorithm (for implicit 3D functions). Also used for region(). y_voxel y_voxel :

[Maxima Draw3D] z_voxel (=10) z-Bereichsteilung für den Marching-Cubes-Algorithmus bei implizit gegebenen Flächen. [Maxima Draw3D] z_voxel (=10) number of z steps for the Marching Cube algorithm (for implicit 3D functions). z_voxel z_voxel :

[Maxima Draw] xaxis (=false) oder true: Anzeige der x-Achse. Globale Option. [Maxima Draw] xaxis (=true): draw x-axis. false: don't draw x-axis. Global option xaxis xaxis :

[Maxima Draw] yaxis (=false) oder true: Anzeige der y-Achse. Globale Option. [Maxima Draw] yaxis (=true): draw y-axis. false: don't draw y-axis. Global option yaxis yaxis :

[Maxima Draw3D] zaxis (=false) oder true: Anzeige der z-Achse. Globale Option. [Maxima Draw3D] zaxis (=true): draw x-axis. false: don't draw x-axis. Global option. zaxis zaxis :

[Maxima Draw] xaxis_color (=black) Farbe x-Achse. Globale Option. [Maxima Draw] xaxis_color (=black) color of the x-axis. Global option. xaxis_color xaxis_color :

[Maxima Draw] yaxis_color (=black) Farbe y-Achse. Globale Option. [Maxima Draw] yaxis_color (=black) color of the y-axis. Global option. yaxis_color yaxis_color :

[Maxima Draw3D] zaxis_color (=black) Farbe z-Achse. Globale Option. [Maxima Draw3D] zaxis_color (=black) color of the z-axis. Global option zaxis_color zaxis_color :

[Maxima Draw2D] xaxis_secondary (=false) oder true: Nutzung einer zweiten x-Achse (oben) für die nachfolgenden Objekte. [Maxima Draw2D] xaxis_secondary (=false) or true: use the secondary x-axis (top) for subsequent objects. xaxis_secondary xaxis_secondary :

[Maxima Draw2D] yaxis_secondary (=false) oder true: Nutzung einer zweiten y-Achse (rechts) für die nachfolgenden Objekte [Maxima Draw2D] yaxis_secondary (=false) or true: use the secondary y-axis (right) for subsequent objects yaxis_secondary yaxis_secondary :

[Maxima Draw] xaxis_type (=dots) oder solid: Linienart der x-Achse. Globale Option. [Maxima Draw] xaxis_type (=solid) or dots. Global option. xaxis_type xaxis_type :

[Maxima Draw] yaxis_type (=dots) oder solid: Linienart der y-Achse. Globale Option. [Maxima Draw] yaxis_type (=solid) or dots. Global option. yaxis_type yaxis_type :

[Maxima Draw3D] zaxis_type (=dots) oder solid: Linienart der z-Achse. Globale Option. [Maxima Draw3D] zaxis_type (=solid) or dots. Global option. zaxis_type zaxis_type :

[Maxima Draw] xaxis_width (=1) Linienbreite der x-Achse. Globale Option. [Maxima Draw] xaxis_width (=1). Global option xaxis_width xaxis_width :

[Maxima Draw] yaxis_width (=1) Linienbreite der y-Achse. Globale Option. [Maxima Draw] yaxis_width (=1). Global option yaxis_width yaxis_width :

[Maxima Draw3D] zaxis_width (=1) Linienbreite der z-Achse. Globale Option. [Maxima Draw3D] zaxis_width (=1). Global option. zaxis_width zaxis_width :

[Maxima Draw] xlabel (="") x-Achsenbeschriftung. Globale Option. [Maxima Draw] xlabel (="") label of the x-axis. Global option xlabel xlabel :

[Maxima Draw] ylabel(="") y-Achsenbeschriftung. Globale Option. [Maxima Draw] ylabel (="") label of the y-axis. Global option ylabel ylabel :

[Maxima Draw] zlabel (="") z-Achsenbeschriftung. Globale Option. [Maxima Draw] zlabel (="") label of the z-axis. Global option zlabel zlabel :

[Maxima Draw] xlabel_secondary (="") Beschriftung der zweiten x-Achse. Globale Option. [Maxima Draw] xlabel_secondary (="") label of the secondary x-axis. Global option xlabel_secondary xlabel_secondary :

[Maxima Draw] ylabel_secondary (="") Beschriftung der zweiten y-Achse. Globale Option. [Maxima Draw] ylabel_secondary (="") label of the secondary y-axis. Global option ylabel_secondary ylabel_secondary :

[Maxima Draw] xrange (=auto) oder Liste [min,max]: x-Achsenbereich. Globale Option. [Maxima Draw] xrange (=auto) or list [min,max]: range of the x-axis. Global option xrange xrange :

[Maxima Draw] yrange (=auto) oder Liste [min,max]: y-Achsenbereich. Globale Option. [Maxima Draw] yrange (=auto) or list [min,max]: range of the y-axis. Global option yrange yrange :

[Maxima Draw] zrange (=auto) oder Liste [min,max]: z-Achsenbereich. Globale Option. [Maxima Draw] zrange (=auto) or list [min,max]: range of the z-axis. Global option. zrange zrange :

[Maxima Draw] xrange_secondary (=auto) oder Liste [min,max]: Bereich der zweiten (oberen) x-Achse. Globale Option. [Maxima Draw] xrange_secondary (=auto) or list [min,max]: range of the secondary (top) x-axis. Global option. xrange_secondary xrange_secondary :

[Maxima Draw] yrange_secondary (=auto) oder Liste [min,max]: Bereich der zweiten (rechten) y-Achse. Globale Option. [Maxima Draw] yrange_secondary (=auto) or list [min,max]: range of the secondary (right) y-axis. Global option. yrange_secondary yrange_secondary :

[Maxima Draw] xtics (=auto): automatische x-Achsmarken, none: keine, Zahl: Schrittweite, Liste mit [min, Schritt, max], oder set() von Zahlen: explizite Vorgabe der Zahlenwerte, oder set() von Listen ["text",pos] mit Vorgabe von Beschriftung und Position. Globale Option. [Maxima Draw] xtics (=auto): automatic x ticks, none: no x ticks, number: tick interval, list of [min, step, max], or set() of numbers: explicit tick values, or set() of lists ["text",pos] for spec of position and text. Global option xtics xtics :

[Maxima Draw] ytics (=auto): automatische y-Achsmarken, none: keine, Zahl: Schrittweite, Liste mit [min, Schritt, max], oder set() von Zahlen: explizite Vorgabe der Zahlenwerte, oder set() von Listen ["text",pos] mit Vorgabe von Beschriftung und Position. Globale Option. [Maxima Draw] ytics (=auto): automatic y ticks, none: no y ticks, number: tick interval, list of [min, step, max], or set() of numbers: explicit tick values, or set() of lists ["text",pos] for spec of position and text. Global option. ytics ytics :

[Maxima Draw] ztics (=auto): automatische z-Achsmarken, none: keine, Zahl: Schrittweite, Liste mit [min, Schritt, max], oder set() von Zahlen: explizite Vorgabe der Zahlenwerte, oder set() von Listen ["text",pos] mit Vorgabe von Beschriftung und Position. Globale Option. [Maxima Draw] ztics (=auto): automatic z ticks, none: no x ticks, number: tick interval, list of [min, step, max], or set() of numbers: explicit tick values, or set() of lists ["text",pos] for spec of position and text. Global option. ztics ztics :

[Maxima Draw] xtics_secondary (=auto): automatische Marken an der sekundären (oberen) x-Achse, none: keine, Zahl: Schrittweite, Liste mit [min, Schritt, max], oder set() von Zahlen: explizite Vorgabe der Zahlenwerte, oder set() von Listen ["text",pos] mit Vorgabe von Beschriftung und Position. Globale Option. [Maxima Draw] xtics_secondary (=auto): automatic ticks on the secondary (top) x-axis, none: no ticks, number: tick interval, list of [min, step, max], or set() of numbers: explicit tick values, or set() of lists ["text",pos] for spec of position and text. Global option. xtics_secondary xtics_secondary :

[Maxima Draw] ytics_secondary (=auto): automatische Marken an der sekundären (rechten) y-Achse, none: keine, Zahl: Schrittweite, Liste mit [min, Schritt, max], oder set() von Zahlen: explizite Vorgabe der Zahlenwerte, oder set() von Listen ["text",pos] mit Vorgabe von Beschriftung und Position. Globale Option. [Maxima Draw] ytics_secondary (=auto): automatic ticks on the secondary (right) y-axis, none: no ticks, number: tick interval, list of [min, step, max], or set() of numbers: explicit tick values, or set() of lists ["text",pos] for spec of position and text. Global option. ytics_secondary ytics_secondary :

[Maxima Draw] xtics_axis (=false): x-Achsmarken am Rand, true: an der Achse. Globale Option. [Maxima Draw] xtics_axis (=false): ticks on the boundary, true: ticks on the axis. Global option. xtics_axis xtics_axis :

[Maxima Draw] ytics_axis (=false): y-Achsmarken am Rand, true: an der Achse. Globale Option. [Maxima Draw] ytics_axis (=false): ticks on the boundary, true: ticks on the axis. Global option. ytics_axis ytics_axis :

[Maxima Draw] ztics_axis (=false): z-Achsmarken am Rand, true: an der Achse. Globale Option. [Maxima Draw] ztics_axis (=false): ticks on the boundary, true: ticks on the axis. Global option. ztics_axis ztics_axis :

[Maxima Draw] xtics_secondary_axis (=false): Marken an der sekundaren (oberen) x-Achse am Rand, true: an der Achse. Globale Option. [Maxima Draw] xtics_secondary_axis (=false): ticks on the secondary (top) boundary, true: ticks on the axis. Global option. xtics_secondary_axis xtics_secondary_axis :

[Maxima Draw] ytics_secondary_axis (=false): Marken an der sekundaren (rechten) y-Achse am Rand, true: an der Achse. Globale Option. [Maxima Draw] ytics_secondary_axis (=false): ticks on the secondary (right) boundary, true: ticks on the axis. Global option. ytics_secondary_axis ytics_secondary_axis :

[Maxima Draw] xtics_rotate (=false): x-Achsmarken nicht drehen, true: um 90° drehen. Globale Option. [Maxima Draw] xtics_rotate (=false): horizontal tick labels, true: vertical tick labels. Global option. xtics_rotate xtics_rotate :

[Maxima Draw] ytics_rotate (=false): y-Achsmarken nicht drehen, true: um 90° drehen. Globale Option. [Maxima Draw] ytics_rotate (=false): horizontal tick labels, true: vertical tick labels. Global option. ytics_rotate ytics_rotate :

[Maxima Draw] ztics_rotate (=false): z-Achsmarken nicht drehen, true: um 90° drehen. Globale Option. [Maxima Draw] ztics_rotate (=false): horizontal tick labels, true: vertical tick labels. Global option. ztics_rotate ztics_rotate :

[Maxima Draw] xtics_rotate_secondary (=false): Marken an der sekundären (oberen) x-Achse nicht drehen, true: um 90° drehen. Globale Option. [Maxima Draw] xtics_rotate_secondary (=false): don't rotate ticks of the secondary (top) x-axis, true: rotate by 90°. Global option. xtics_rotate_secondary xtics_rotate_secondary :

[Maxima Draw] ytics_rotate_secondary (=false): Marken an der sekundären (rechten) y-Achse nicht drehen, true: um 90° drehen. Globale Option. [Maxima Draw] ytics_rotate_secondary (=false): don't rotate ticks of the secondary (right) y-axis, true: rotate by 90°. Global option ytics_rotate_secondary ytics_rotate_secondary :

[Maxima Draw] xu_grid (=30) Abtastpunkte in x- oder u-Richtung [Maxima Draw] xu_grid (=30) sampling points in x- or u-direction xu_grid xu_grid :

[Maxima Draw] yv_grid (=30) Abtastpunkte in y- oder v-Richtung [Maxima Draw] yv_grid (=30) sampling points in y- or v-direction yv_grid yv_grid :

[Maxima Draw3D] xyplane (=false): xy-Koordinatenebene automatisch anordnen, Zahl: z-Koordinate. Globale Option. [Maxima Draw3D] xyplane (=false): automatic allocation of the xy-plane, real number: xy-plane intersects the z-axis at this level. Global option. xyplane xyplane :

Objekte

[Maxima Draw2D] bars(b1,b2...) Säulendiagramm, Säulen gegeben durch Listen (x,h,w). Optionen: key, color, fill_color, fill_density und line_width. [Maxima Draw2D] bars(b1,b2...) vertical bars, given as lists [x,h,w]. Options: key, color, fill_color, fill_density and line_width._bars_bars :

[Maxima Draw3D] elevation_grid(Matrix,x0,y0,w,h) Stellt eine Matrix in 3D dar. M_11 bei x=x0,y=y0+h, M_mn bei x=x0+w,y=y0. Optionen:  xu_grid, yv_grid, line_type, key, wired_surface, enhanced3d und color [Maxima Draw3D] elevation_grid(matrix,x0,y0,w,h) Draws a m x n-matrix in 3D. M_11 at x=x0,y=y0+h, M_mn at x=x0+w,y=y0. Options:  xu_grid, yv_grid, line_type, key, wired_surface, enhanced3d and color_1_2_3_4_5 elevation_grid_1_2_3_4_5 elevation_grid :

[Maxima Draw3D] elevation_grid(Matrix,x0,y0,w,h) Stellt eine Matrix in 3D dar. M_11 bei x=x0,y=y0+h, M_mn bei x=x0+w,y=y0. Optionen:  xu_grid, yv_grid, line_type, key, wired_surface, enhanced3d and color [Maxima Draw3D] cylindrical(r(φ,z),z,zmin,zmax,φ,φmin,φmax) Draws a function in cylindrical coordinates. Options: xu_grid, yv_grid, line_type, key, wired_surface, enhanced3d and color._1_2_3_4_5_6_7 cylindrical_1_2_3_4_5_6_7 cylindrical :

[Maxima Draw2D] ellipse(xc,yc,a,b,φ1,φ2) Ellipse, zentriert bei xc, yc mit den Halbachsen a und b, von Startwinkel φ1 und Winkelbreite dφ. In Maxima 5.47 wird die Breite doppelt gezählt. Optionen nticks, transparent, fill_color, border, line_width, line_type, key und color. [Maxima Draw2D] ellipse(xc,yc,a,b,φ1,dφ) plots an ellipse centered at [xc, yc] with horizontal and vertical semi axis a and b, respectively, starting at φ1 with an amplitude dφ. Note that in Maxima 5.47 the amplitude is doubled. Options: nticks, transparent, fill_color, border, line_width, line_type, key and color. #1 #2 #3 #4 #5 #6 ellipse #1 #2 #3 #4 #5 #6 ellipse :

[Maxima Draw2D] errors(e1,e2...) Punkte mit Fehlerbalken, horizontal, vertical oder beide, abhängig von der Option error_type. Argumente für error_type = x: Listen [x, y, xdelta] oder [x, y, xlow, xhigh]. Argumente für error_type = y; Listen [x, y, ydelta] oder [x, y, ylow, yhigh]. Argumente für error_type = xy oder error_type = boxes: Listen [x, y, xdelta, ydelta] oder [x, y, xlow, xhigh, ylow, yhigh]. Optionen: error_type, points_joined, line_width, key, line_type, color, fill_density, xaxis_secondary, and yaxis_secondary [Maxima Draw2D] errors(e1,e2...) Draws points with error bars, horizontally, vertically or both, depending on the value of option error_type. If error_type = x, arguments are lists [x, y, xdelta] or [x, y, xlow, xhigh]. If error_type = y, arguments are lists [x, y, ydelta] or [x, y, ylow, yhigh]. If error_type = xy or error_type = boxes, arguments are lists [x, y, xdelta, ydelta] or [x, y, xlow, xhigh, ylow, yhigh]. Options: error_type, points_joined, line_width, key, line_type, color, fill_density_errors_errors :

[Maxima Draw2D] explicit(f,x,xmin,xmax) zeichnet eine Funktion f von x von xmin bis xmax. Optionen: nticks, adapt_depth, draw_realpart, line_width, line_type, key, filled_func, fill_color und color [Maxima Draw2D] explicit(f,x,xmin,xmax) plots explicit function f, with variable x taking values from xmin to xmax. Options: nticks, adapt_depth, draw_realpart, line_width, line_type, key, filled_func, fill_color and color_1_2_3_4 explicit_1_2_3_4 explicit :

[Maxima Draw3D] explicit(f,x,xmin,xmax,y,ymin,ymax) zeichnet eine Funktion f von x und y im Bereich xmin bis xmax und ymin bis ymax Optionen: draw_realpart, xu_grid, yv_grid, line_type, line_width, key, wired_surface, enhanced3d und color. [Maxima Draw3D] explicit(f,x,xmin,xmax,y,ymin,ymax) plots the explicit function f, with variable x taking values from xmin to xmax and variable y taking values from ymin to ymax. Options: draw_realpart, xu_grid, yv_grid, line_type, line_width, key, wired_surface, enhanced3d, and color. #1 #2 #3 #4 #5 #6 #7 explicit #1 #2 #3 #4 #5 #6 #7 explicit :

[Maxima Draw2D] image(Matrix,x0,y0,w,h)  Farbdarstellung einer m x n Matrix entsprechend der Option palette im Gebiet (x0,y0) bis (x0+w,y0+h) [Maxima Draw2D] image(matrix,x0,y0,w,h)  plots matrix in the rectangular region from vertex (x0,y0) to (x0+w,y0+h) according to global option palette. #1 #2 #3 #4 #5 image #1 #2 #3 #4 #5 image :

[Maxima Draw2D] implicit(f,x,xmin,xmax,y,ymin,ymax) 2D Darstellung einer implizit gegebenen Funktion im angegebenen Variablenbereich (marching squares Algorithmus). Optionen: ip_grid, ip_grid_in, line_width, line_type, key, color [Maxima Draw2D] implicit(f,x,xmin,xmax,y,ymin,ymax) plots the implicit function defined by f, with variable x taking values from xmin to xmax, and variable y taking values from ymin to ymax. Options: ip_grid, ip_grid_in, line_width, line_type, key, color #1 #2 #3 #4 #5 #6 #7 implicit #1 #2 #3 #4 #5 #6 #7 implicit :

[Maxima Draw3D] implicit(f,x,xmin,xmax,y,ymin,ymax,z,zmin,zmax) 3D Darstellung einer implizit gegebenen Funktion im angegebenen Variablenbereich (Marching Cubes Algorithmus). Optionen: x_voxel, y_voxel, z_voxel, ip_grid_in, line_width, line_type, wired_surface, enhanced3D, color [Maxima Draw] [Maxima Draw3D] implicit(f,x,xmin,xmax,y,ymin,ymax,z,zmin,zmax) plots the implicit surface defined by f, with variable x taking values from xmin to xmax, variable y taking values from ymin to ymax and variable z taking values from zmin to zmax. This object implements the marching cubes algorithm. Options: x_voxel, y_voxel, z_voxel, line_width, line_type, key, wired_surface, enhanced3d,and color #1 #2 #3 #4 #5 #6 #7 #8 #9 #10 implicit #1 #2 #3 #4 #5 #6 #7 #8 #9 #10 implicit :

[Maxima Draw2D and 3D] label(list) Beschriftung, im 2D gegeben als Liste (text,x,y), im 3D als Liste (text,x,y,z), spezielle Optionen: color, label_alignment, label_orientation [Maxima Draw2D and 3D] label(list) text label specified in 2D as list [text,x,y], in 3D as list [text,x,y,z], Options: color, label_alignment, label_orientation_label_label :

[Maxima Draw2D] parametric(fx,fy,p,pmin,pmax) parametrisch gegebenen Funktion. Optionen: nticks, line_width, line_type, key, color, enhanced3d [Maxima Draw2D] parametric(fx,fy,p,pmin,pmax) plots the parametric function fx, fy  with parameter p taking values from pmin to pmax. Options: nticks, line_width, line_type, key, color, enhanced3d #1 #2 #3 #4 #5 parametric #1 #2 #3 #4 #5 parametric :

[Maxima Draw3D] parametric(fx,fy,fz,p,pmin,pmax) Parametrische Funktion, beschrieben durch drei Koordinatenfunktionen des Parameters p im gegebenen Bereich von pmin bis pmax. Optionen: nticks, line_width, line_type, key, color, enhanced3d [Maxima Draw3D] parametric(fx,fy,fz,p,pmin,pmax) parametric function, described by three coordinate functions of parameter p, taking values from pmin to pmax. Options: nticks, line_width, line_type, key, color, enhanced3d #1 #2 #3 #4 #5 #6 parametric #1 #2 #3 #4 #5 #6 parametric :

points(matrix) Punkte, 2D: n x 2 oder 2 x n -> n Punkte bei (x,y) oder 1 x n oder n x 1 -> n Punkte bei (index,y). 3D: n x 3 oder 3 x n -> Punkte bei (x,y,z). Spezielle Optionen: points_joined, point_type, point_size [Maxima Draw2D/3D] [Maxima Draw2D and 3D] points(matrix) 2D: n x 2 or 2 x n -> n points at (x,y) or 1 x n or n x 1 -> n points at (index,y). 3D: n x 3 or 3 x n -> points at (x,y,z). Specific options: points_joined, point_type, point_size, enhanded #1 points #1 points :

[Maxima Draw2D] points(lx,ly) Punkte, gegeben durch zwei Listen der x- und y-Koordinaten. Spezielle Optionen: points_joined, point_type, point_size [Maxima Draw2D] [Maxima Draw2D] points(lx,ly) points given by two lists, special options: points_joined, point_type, point_size #1 #2 points #1 #2 points :

[Maxima Draw3D] points(lx,ly,lz) zeichnet Punkte, gegeben durch drei Listen, spezielle Optionen: points_joined, point_type, point_size [Maxima Draw3D] points(lx,ly,lz) points given by three lists, pecial options: points_joined, point_type, point_size #1 #2 #3 points #1 #2 #3 points :

[Maxima Draw2D] polar(r,φ,φmin,φmax) zeichnet Funktionen, die in Polarkoordinaten gegeben sind (Radius r als Funktion des Winkels φ). Spezielle Optionen: key, nticks, line_width, line_type, color [Maxima Draw2D] polar(r,φ,φmin,φmax) draws functions given in polar co-ordinates (radius r as function of angle φ). Special options: key, nticks, line_width, line_type, color #1 #2 #3 #4 polar #1 #2 #3 #4 polar :

[Maxima Draw2D] polygon(matrix)  Polygon durch die als n x 2 Matrix gegebenen Punkte. Spezielle Optionen: transparent, fill_color, border, line_width, key, line_type color [Maxima Draw2D] polygon(matrix)  polygon defined by matrix (each row one point). Special options: transparent, fill_color, border, line_width, key, line_type color #1 polygon #1 polygon :

[Maxima Draw2D]  polygon(lx,ly)  Zeichnet ein Polygon durch die als x- und y-Listen gegebenen Punkte. Spezielle Optionen: transparent, fill_color, border, line_width, key, line_type color [Maxima Draw2D]  polygon(lx,ly)  polygon defined by two lists. Special options: transparent, fill_color, border, line_width, key, line_type, color #1 #2 polygon #1 #2 polygon :

[Maxima Draw2D/3D] quadrilateral(l1,l2,l3,l4) Viereck, gegeben durch Listen der Eckkoordinaten 2D: [x,y] oder 3D: [x,y,z]. Spezielle Optionen: transparent, fill_color, border, line_width, key, line_type, color, enhanced3D (nur 3D) [Maxima Draw2D/3D] quadrilateral(l1,l2,l3,l4) quadrilateral given by lists  of vertex coordinates: [x,y] in 2D or [x,y,z] in 3D. Special options: transparent, fill_color, border, line_width, key, line_type, color, enhanced3D (3D only) #1 #2 #3 #4 quadrilateral #1 #2 #3 #4 quadrilateral :

[Maxima Draw2D] rectangle(l1,l2) Rechteck gegeben durch Koordinatenlisten [x,y] gegenüberliegender Ecken. Spezielle Optionen: transparent, fill_color, border, line_width, key, line_type, color [Maxima Draw2D] rectangle(l1,l2) specified by lists [x,y] of opposite corners. Special options: transparent, fill_color, border, line_width, key, line_type, color #1 #2 rectangle #1 #2 rectangle :

[Maxima Draw2D] region(expr,x,xmin,xmax,y,ymin,ymax) Füllt das Gebiet wo expr wahr (true) ist im Bereich von xmin, xmax, ymin, ymax. Optionen: fill_color, key, x_voxel, y_voxel [Maxima Draw2D] region(expr,x,xmin,xmax,y,ymin,ymax) Fills the region where expr is true in the domain given by xmin, xmax, ymin, ymax. Options: fill_color, key, x_voxel, y_voxel #1 #2 #3 #4 #5 #6 #7 region #1 #2 #3 #4 #5 #6 #7 region :

[Maxima Draw2D] region(expr,x,xmin,xmax,y,ymin,ymax) Füllt das Gebiet wo expr wahr (true) ist im Bereich von xmin, xmax, ymin, ymax. Optionen: fill_color, key, x_voxel, y_voxel [Maxima Draw3D] spherical(r, a, mina, maxa, z, minz, maxz) plots function r(a, z) defined in spherical coordinates, with azimuth a taking values from mina to maxa and zenith z taking values from minz to maxz. Options: xu_grid, yv_grid, line_type, key, wired_surface, enhanced3d, and color. #1 #2 #3 #4 #5 #6 #7 spherical #1 #2 #3 #4 #5 #6 #7 spherical :

[Maxima Draw2D/3D] triangle(l1,l2,l3)  Dreieck, gegeben durch Koordinatenlisten [x,y] (2D) oder [x,y,z] (3D) der Ecken. Spezielle Optionen: transparent, fill_color, border, line_width, key, line_type, color [Maxima Draw2D/3D] triangle(l1,l2,l3)  given by co-ordinate lists [x,y] (2D) or [x,y,z] (3D) of the corners.Options: transparent, fill_color, border, line_width, key, line_type, color #1 #2 #3 triangle #1 #2 #3 triangle :

[Maxima Draw3D]  tube(fx,fy,fz,fr,p,pmin,pmax)  Röhre, gegeben durch Mittellinie mit fx,fy,fz und den Radius fr als Funktionen des Parameters p. Spezielle Optionen:  xu_grid, yv_grid, line_type, line_width, key, wired_surface, enhanced3d, color, capping. [Maxima Draw3D]  tube(fx,fy,fz,fr,p,pmin,pmax)  tube, given by functions fx,fy,fz of the centerline and radius function fr of the parameter p from pmin to pmax. Special options:  xu_grid, yv_grid, line_type, line_width, key, wired_surface, enhanced3d, color, capping. #1 #2 #3 #4 #5 #6 #7 tube #1 #2 #3 #4 #5 #6 #7 tube :

[Maxima Draw2D/3D]  vector(l1,l2)  Pfeil,  gegeben durch Koordinatenlisten (x,y) (2D) oder (x,y,z) (3D) der Endpunkte. Spezielle Optionen:  head_both, head_length, head_angle, head_type, line_width, line_type, key color. [Maxima Draw2D/3D]  vector(l1,l2)  given by co-ordinate lists [x,y] (2D) or [x,y,z] (3D) of the end points. Spezielle Optionen:  head_both, head_length, head_angle, head_type, line_width, line_type, key color. #1 #2 vector #1 #2 vector :

Sonstige

[Maxima]  set(e1, e2,...) Maxima set (Liste in geschweiften Klammern) [Maxima]  set(e1, e2,...) Maxima set (in Maxima this is a list in curly braces)_set_set :

[Maxima] args(expr) Liste der Argumente von expr [Maxima] args(expr) list of the top level arguments of expr. Extracts lines from matrices._args_args :

[Maxima] apply(f, Liste) Macht die Elemente der Liste zu Argumenten von f. apply(f,args(matrix)) wandelt eine Matrix in Argumente einer Funktion um -> f(row1, row2,...) [Maxima] apply(f, list) applies the elements of list as arguments to f. apply(f,args(matrix)) converts a matrix into arguments of a function -> f(row1, row2,...)_args_args :

[Maxima] true true :

[Maxima] false false :

P xyplane 0 ≡ ΔZ p bar / Min T °C / Min p bar / Max p bar / Min - T °C / Max T °C / Min - elevation_grid interpolate_color true ≡ 31 sys :

Insert> Maxima> Draw3D

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</ImageFile> 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<xRedirecting>Disable</xRedirecting> <varNameXmin>MinX3</varNameXmin> <varNameXmax>MaxX3</varNameXmax> <yRedirecting>Disable</yRedirecting> <varNameYmin>MinY3</varNameYmin> <varNameYmax>MaxY3</varNameYmax> <zRedirecting>Disable</zRedirecting> <varNameZmin>MinZ3</varNameZmin> <varNameZmax>MaxZ3</varNameZmax> <option>border=false;</option> <enablexAxis>false</enablexAxis> <enableyAxis>false</enableyAxis> <enablezAxis>false</enablezAxis> <customPalatte>Enable</customPalatte> <propAxes>Disable</propAxes> </PlotStore> </plotstore> <input> <e type="operand">P</e> </input> </maximaplugin> </region> </regions> </worksheet>