Теория массового обслуживания. Сивохин А.В - 219 стр.

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219
> Lp10:=[seq(rhs(Lpi[t][11]), t=0..7)];
Lp10 := [0., 0.00169491776256979052, 0.00531937699949204014, 0.00791582409614227482,
0.00960372737250885650, 0.0124363602063076451, 0.0126500628566685990,
0.0126526643349029102]
> Lp11:=[seq(rhs(Lpi[t][12]), t=0..7)];
Lp11 := [0., 0.00194901946091610430, 0.00581166570526139501, 0.00855489086353479478,
0.0103367721155086037, 0.0133269693967702757, 0.0135525254206395694, 0.0135553489784877250
]
> Lp12:=[seq(rhs(Lpi[t][13]), t=0..7)];
Lp12 := [0., 0.00220410309440581716, 0.00629280659115959932, 0.00917588806063169596,
0.0110473551204034737, 0.0141876006701798126, 0.0144245794582611338, 0.0144274582009439895
]
> Lp13:=[seq(rhs(Lpi[t][14]), t=0..7)];
Lp13 := [0., 0.00245993292638180566, 0.00676432447753258244, 0.00978119310943780484,
0.0117384265968923340, 0.0150223990472524299, 0.0152701186238160970, 0.0152731829452991304
]
> Lp14:=[seq(rhs(Lpi[t][15]), t=0..7)];
Lp14 := [0., 0.00271603671613231037, 0.00722721738198564470, 0.0103725260858375142,
0.0124120695863810267, 0.0158339879740472568, 0.0160921663308310134, 0.0160953458287861132
]
> Lp15:=[seq(rhs(Lpi[t][16]), t=0..7)];
Lp15 := [0., 0.00297209283658197380, 0.00768201055098183262, 0.0109510523681965716,
0.0130699345858812256, 0.0166247892366217474, 0.0168929875594847242, 0.0168962851885516990
]
> Lp16:=[seq(rhs(Lpi[t][17]), t=0..7)];
Lp16 := [0., 0.00322786169336203430, 0.00812941761086394266, 0.0115179437559921970,
0.0137134470997712174, 0.0173967082637673937, 0.0176745891655096174, 0.0176780113010825864
]
> Lp17:=[seq(rhs(Lpi[t][18]), t=0..7)];
Lp17 := [0., 0.00348316484085314534, 0.00856995416645495342, 0.0120741397321708736,
0.0143438239268334523, 0.0181513984429293902, 0.0184386605112796670, 0.0184421966181850632
]
> listplot([seq(Lp1[t], t=1..8)], thickness=2,
color= green, legend=`p0(t)`); 
>   Lp10:=[seq(rhs(Lpi[t][11]), t=0..7)];
         Lp10 := [0., 0.00169491776256979052, 0.00531937699949204014, 0.00791582409614227482,
              0.00960372737250885650, 0.0124363602063076451, 0.0126500628566685990,
              0.0126526643349029102]

>   Lp11:=[seq(rhs(Lpi[t][12]), t=0..7)];
Lp11 := [0., 0.00194901946091610430, 0.00581166570526139501, 0.00855489086353479478,
     0.0103367721155086037, 0.0133269693967702757, 0.0135525254206395694, 0.0135553489784877250
     ]

>   Lp12:=[seq(rhs(Lpi[t][13]), t=0..7)];
Lp12 := [0., 0.00220410309440581716, 0.00629280659115959932, 0.00917588806063169596,
     0.0110473551204034737, 0.0141876006701798126, 0.0144245794582611338, 0.0144274582009439895
     ]

>   Lp13:=[seq(rhs(Lpi[t][14]), t=0..7)];
Lp13 := [0., 0.00245993292638180566, 0.00676432447753258244, 0.00978119310943780484,
     0.0117384265968923340, 0.0150223990472524299, 0.0152701186238160970, 0.0152731829452991304
     ]

>   Lp14:=[seq(rhs(Lpi[t][15]), t=0..7)];
Lp14 := [0., 0.00271603671613231037, 0.00722721738198564470, 0.0103725260858375142,
     0.0124120695863810267, 0.0158339879740472568, 0.0160921663308310134, 0.0160953458287861132
     ]

>   Lp15:=[seq(rhs(Lpi[t][16]), t=0..7)];
Lp15 := [0., 0.00297209283658197380, 0.00768201055098183262, 0.0109510523681965716,
     0.0130699345858812256, 0.0166247892366217474, 0.0168929875594847242, 0.0168962851885516990
     ]

>   Lp16:=[seq(rhs(Lpi[t][17]), t=0..7)];
Lp16 := [0., 0.00322786169336203430, 0.00812941761086394266, 0.0115179437559921970,
     0.0137134470997712174, 0.0173967082637673937, 0.0176745891655096174, 0.0176780113010825864
     ]

>   Lp17:=[seq(rhs(Lpi[t][18]), t=0..7)];
Lp17 := [0., 0.00348316484085314534, 0.00856995416645495342, 0.0120741397321708736,
     0.0143438239268334523, 0.0181513984429293902, 0.0184386605112796670, 0.0184421966181850632
     ]

> listplot([seq(Lp1[t], t=1..8)], thickness=2,
color= green, legend=`p0(t)`);


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