Kashub's Code Barn - "Historia poleceń matlaba z jakiejś sali na PG"

TADA(8)
TADA(16)
TADA(1)
TADA(2)
TADA(1)
TADA(2)
TADA(3)
TADA(4)
TADA(5)
TADA(16)
TADA(0)
TADA(0,8)
TADA(3,8)
TADA(334,8)
TADA(33,8)
TADA(47,8)
%-- 3/29/07 12:07 PM --%
fuzzy mojladownik
d:
cd d:
cd Studenci\flak\
fuzzy mojladownik
fuzzy
fuzzy flakownik
run sum1
run sym1
run sym1.m
sym1
help fibnd
help find
%-- 4/03/07 10:25 AM --%
fuzzy
wahadlo fiswahadla
wahadlo
wahadlo(fiswahadlo)
wahadlo(fiswahadla)
wahadlo fiswahadla
%-- 4/17/07 10:18 AM --%
bayes
PW = 0.002;
PU = 0.5;
PT = 0.06;
PS_WU = 0.3;
PS_nWU = 0.2;
PS_WnU = 0.07;
PS_nWnU = 0.02;
PA_T = 0.1;
PA_nT = 0.01;
PZ_SA = 0.95;
PZ_nSA = 0.90;
PZ_Sn = 0.40;
PZ_nSnA = 0.11;
PW = 0.002;
PW(0.002)
PW = 0.002;
function ps_anal(){
ps_anal = PS_WU*PW*PU + PS_nWU*(1-PW)*PU + PS_WnU*PW*(1-PU) + PS_nWnU*(1-PW)*(1-PU)
for i=1 to 10000
for i=1,10000
zW = rand<pW
end
zW = rand < PW
zW = rand(1,10000) < PW
sum(ans)
sum(zW)
zW = rand(1,100000) < PW
zU = rand(1,100000) < PU
zT = rand(1,100000) < PT
zS_WU = rand(1,100000) < PS_WU
zS_WnU = rand(1,100000) < PS_WnU
zS_nWU = rand(1,100000) < PS_nWU
zS_nWnU = rand(1,100000) < PS_nWnU
ps_bayes = sum(zS_WU) + sum(zS_WnU) + sum(zS_nWU) + sum(zS_nWnU)
ps_bayes/100000
zW = rand(1,100000) < PW;
zU = rand(1,100000) < PU;
zT = rand(1,100000) < PT;
zS_WU = rand(1,100000) < PS_WU;
zS_WnU = rand(1,100000) < PS_WnU;
zS_nWU = rand(1,100000) < PS_nWU;
zS_nWnU = rand(1,100000) < PS_nWnU;
sum(zW.*zS_WU + zU.*zWU).*zS_WU) + sum(zW.*zS_WnU + (1-zU).*zS_WnU) + sum((1-zW).*zS_nWU + zU.*zS_nWU) + sum((1-zW).*zS_nWnU + (1-zU).*zS_nWnU)
zW = rand(1,100000) < PW;
zU = rand(1,100000) < PU;
zT = rand(1,100000) < PT;
zS_WU = rand(1,100000) < PS_WU;
zS_WnU = rand(1,100000) < PS_WnU;
zS_nWU = rand(1,100000) < PS_nWU;
zS_nWnU = rand(1,100000) < PS_nWnU;
sum(zW.*zS_WU + zU.*zWU) + sum(zW.*zS_WnU + (1-zU).*zS_WnU) + sum((1-zW).*zS_nWU + zU.*zS_nWU) + sum((1-zW).*zS_nWnU + (1-zU).*zS_nWnU)
zW = rand(1,100000) < PW;
zU = rand(1,100000) < PU;
zT = rand(1,100000) < PT;
zS_WU = rand(1,100000) < PS_WU;
zS_WnU = rand(1,100000) < PS_WnU;
zS_nWU = rand(1,100000) < PS_nWU;
zS_nWnU = rand(1,100000) < PS_nWnU;
sum(zW.*zS_WU + zU.*zS?WU) + sum(zW.*zS_WnU + (1-zU).*zS_WnU) + sum((1-zW).*zS_nWU + zU.*zS_nWU) + sum((1-zW).*zS_nWnU + (1-zU).*zS_nWnU)
zW = rand(1,100000) < PW;
zU = rand(1,100000) < PU;
zT = rand(1,100000) < PT;
zS_WU = rand(1,100000) < PS_WU;
zS_WnU = rand(1,100000) < PS_WnU;
zS_nWU = rand(1,100000) < PS_nWU;
zS_nWnU = rand(1,100000) < PS_nWnU;
sum(zW.*zS_WU + zU.*zS_WU) + sum(zW.*zS_WnU + (1-zU).*zS_WnU) + sum((1-zW).*zS_nWU + zU.*zS_nWU) + sum((1-zW).*zS_nWnU + (1-zU).*zS_nWnU)
sum(zW.*zS_WU + zU.*zS_WU) + sum(zW.*zS_WnU + (1-zU).*zS_WnU) + sum((1-zW).*zS_nWU + zU.*zS_nWU) + sum((1-zW).*zS_nWnU + (1-zU).*zS_nWnU)/100000
zW = rand(1,100000) < PW;
zU = rand(1,100000) < PU;
zT = rand(1,100000) < PT;
zS_WU = rand(1,100000) < PS_WU;
zS_WnU = rand(1,100000) < PS_WnU;
zS_nWU = rand(1,100000) < PS_nWU;
zS_nWnU = rand(1,100000) < PS_nWnU;
sum(zW.*zS_WU.*zU) + sum(zW.*zS_WnU.*(1-zU)) + sum((1-zW).*zS_nWU.*zU) + sum((1-zW).*zS_nWnU.*(1-zU))
sum(zW.*zS_WU.*zU) + sum(zW.*zS_WnU.*(1-zU)) + sum((1-zW).*zS_nWU.*zU) + sum((1-zW).*zS_nWnU.*(1-zU))/100000
ans/100000
sum(zW.*zS_WU.*zU) + sum(zW.*zS_WnU.*(1-zU)) + sum((1-zW).*zS_nWU.*zU) + sum((1-zW).*zS_nWnU.*(1-zU))/100000
sum(zW.*zS_WU.*zU) + sum(zW.*zS_WnU.*(1-zU)) + sum((1-zW).*zS_nWU.*zU) + sum((1-zW).*zS_nWnU.*(1-zU))
ans/100000
PZ_SnA = 0.40;
zW = rand(1,100000) < PW;
zU = rand(1,100000) < PU;
zT = rand(1,100000) < PT;
zS_WU = rand(1,100000) < PS_WU;
zS_WnU = rand(1,100000) < PS_WnU;
zS_nWU = rand(1,100000) < PS_nWU;
zS_nWnU = rand(1,100000) < PS_nWnU;
zA_T = rand(1,100000) < PA_T;
zA_nT = rand(1,100000) < PA_nT;
zZ_SA = rand(1,100000) < PZ_SA;
zZ_nSA = rand(1,100000) < PZ_nSA;
zZ_SnA = rand(1,100000) < PZ_SnA;
zZ_nSnA = rand(1,100000) < PZ_nSnA;
zA = zT.*zA_T + zA_nT.*(1-zT)
zS = zW.*zS_WU.*zU + zW.*zS_WnU.*(1-zU) + (1-zW).*zS_nWU.*zU + (1-zW).*zS_nWnU.*(1-zU)
zZ = (zS.*zZ_SA.*zA + zW.*zZ_SnA.*(1-zA) + (1-zS).*zZ_nSA.*zA + (1-zA).*zZ_nSnA.*(1-zA)
zZ_U = zZ.*zU
zW = rand(1,100000) < PW;
zU = rand(1,100000) < PU;
zT = rand(1,100000) < PT;
zS_WU = rand(1,100000) < PS_WU;
zS_WnU = rand(1,100000) < PS_WnU;
zS_nWU = rand(1,100000) < PS_nWU;
zS_nWnU = rand(1,100000) < PS_nWnU;
zA_T = rand(1,100000) < PA_T;
zA_nT = rand(1,100000) < PA_nT;
zZ_SA = rand(1,100000) < PZ_SA;
zZ_nSA = rand(1,100000) < PZ_nSA;
zZ_SnA = rand(1,100000) < PZ_SnA;
zZ_nSnA = rand(1,100000) < PZ_nSnA;
zA = zT.*zA_T + zA_nT.*(1-zT);
zS = zW.*zS_WU.*zU + zW.*zS_WnU.*(1-zU) + (1-zW).*zS_nWU.*zU + (1-zW).*zS_nWnU.*(1-zU);
zZ = (zS.*zZ_SA.*zA + zW.*zZ_SnA.*(1-zA) + (1-zS).*zZ_nSA.*zA + (1-zA).*zZ_nSnA.*(1-zA);
zZ_U = zZ.*zU;
zW = rand(1,100000) < PW;
zU = rand(1,100000) < PU;
zT = rand(1,100000) < PT;
zS_WU = rand(1,100000) < PS_WU;
zS_WnU = rand(1,100000) < PS_WnU;
zS_nWU = rand(1,100000) < PS_nWU;
zS_nWnU = rand(1,100000) < PS_nWnU;
zA_T = rand(1,100000) < PA_T;
zA_nT = rand(1,100000) < PA_nT;
zZ_SA = rand(1,100000) < PZ_SA;
zZ_nSA = rand(1,100000) < PZ_nSA;
zZ_SnA = rand(1,100000) < PZ_SnA;
zZ_nSnA = rand(1,100000) < PZ_nSnA;
zA = zT.*zA_T + zA_nT.*(1-zT);
zS = zW.*zS_WU.*zU + zW.*zS_WnU.*(1-zU) + (1-zW).*zS_nWU.*zU + (1-zW).*zS_nWnU.*(1-zU);
zZ = zS.*zZ_SA.*zA + zW.*zZ_SnA.*(1-zA) + (1-zS).*zZ_nSA.*zA + (1-zA).*zZ_nSnA.*(1-zA);
zZ_U = zZ.*zU;
sum(zZ_U)
ans/100000
zZ_UT = ZZ.*zU.*zT
zZ_UT = zZ.*zU.*zT
sum (zZ_UT)
ans / 100000
zW = rand(1,100000) < PW;
zU = rand(1,100000) < PU;
zT = rand(1,100000) < PT;
zS_WU = rand(1,100000) < PS_WU;
zS_WnU = rand(1,100000) < PS_WnU;
zS_nWU = rand(1,100000) < PS_nWU;
zS_nWnU = rand(1,100000) < PS_nWnU;
zA_T = rand(1,100000) < PA_T;
zA_nT = rand(1,100000) < PA_nT;
zZ_SA = rand(1,100000) < PZ_SA;
zZ_nSA = rand(1,100000) < PZ_nSA;
zZ_SnA = rand(1,100000) < PZ_SnA;
zZ_nSnA = rand(1,100000) < PZ_nSnA;
zA = zT.*zA_T + zA_nT.*(1-zT);
zS = zW.*zS_WU.*zU + zW.*zS_WnU.*(1-zU) + (1-zW).*zS_nWU.*zU + (1-zW).*zS_nWnU.*(1-zU);
zZ = zS.*zZ_SA.*zA + zW.*zZ_SnA.*(1-zA) + (1-zS).*zZ_nSA.*zA + (1-zA).*zZ_nSnA.*(1-zA);
ilZ = sum(zZ)
ilU = sum(zU)
ilU/ilZ
ilZ/ilU
sum(zZ_U)
pZU = ans/100000
pZ = ilZ/100000
pZU/pZ
zW = rand(1,100000) < PW;
zU = rand(1,100000) < PU;
zT = rand(1,100000) < PT;
zS_WU = rand(1,100000) < PS_WU;
zS_WnU = rand(1,100000) < PS_WnU;
zS_nWU = rand(1,100000) < PS_nWU;
zS_nWnU = rand(1,100000) < PS_nWnU;
zA_T = rand(1,100000) < PA_T;
zA_nT = rand(1,100000) < PA_nT;
zZ_SA = rand(1,100000) < PZ_SA;
zZ_nSA = rand(1,100000) < PZ_nSA;
zZ_SnA = rand(1,100000) < PZ_SnA;
zZ_nSnA = rand(1,100000) < PZ_nSnA;
zA = zT.*zA_T + zA_nT.*(1-zT);
zS = zW.*zS_WU.*zU + zW.*zS_WnU.*(1-zU) + (1-zW).*zS_nWU.*zU + (1-zW).*zS_nWnU.*(1-zU);
zZ = zS.*zZ_SA.*zA + zW.*zZ_SnA.*(1-zA) + (1-zS).*zZ_nSA.*zA + (1-zA).*zZ_nSnA.*(1-zA);
zZ_U = zZ.*zU
ilZU = sum(zZ_U)
ilZ = sum(zZ)
pZU = ilZU/100000
pzZ = ilZ/100000
pZU/pZZ
pZU/pzZ
%-- 4/21/07 11:40 AM --%
cd D:\Studenci\Sidzi\
addpath 'D:\studenci\Sidzi\scheduling\'
addpath 'D:\studenci\sidzi\grTheory\'
addpath 'D:\studenci\Sidzi\scheduling\'
t1=task('t1',5,2,10,2)
plot(t1)
t1=task('t1',5,2,INF,2)
t1=task('t1',5,2,inf,2)
t1=task('t1',2,2,inf,2)
t2=task('t2',3,0,inf,3)
t3=task('t3',4,3,inf,4)
t4=task('t4',2,0,inf,5)
T=taskset(t1,t2,y3,t4)
T=taskset(t1,t2,t3,t4)
T=taskset{[t1,t2,t3,t4]}
T=taskset([t1,t2,t3,t4])
plot(T)
T.procTime
T.proctime
T.proctime[1]=1
T.proctime(1)=1
T.procTime(1)=1
addpath 'D:\studenci\Sidzi\scheduling\'
addpath 'D:\studenci\sidzi\grTheory\'
T.procTime(1)=1
T.ProcTime(1)=1
p=problem('P|rj|Cmax')
h=listsch(T,p,2)
plot(T)
T2=T
st_t=[3 0 3 0]
pr_t=[1 3 4 2]
pr=[2 2 1 1]
add_schedule(T2,'uszeregowanie niepodzielne',st_t,pr_t,pr);plot(T2)
plot(T)
plot(T2)
Tprec=taskset([t1 t2 t3], [0 1 0; 0 0 1; 0 0 0])
plot(Tprec)
Tprec=taskset([t1 t2 t3], [0 1 0; 0 0 1; 1 0 0])
plot(Tprec)
Tprec=taskset([t1 t2 t3], [0 1 0; 0 0 1; 0 0 0])
Tprec=taskset([t1 t2 t3], [0 1 0; 1 0 1; 0 0 0])
plot(Tprec)
Tprec=taskset([t1 t2 t3], [0 1 0; 0 0 1; 0 0 0])
plot(Tprec)
st_t={[2] [0 3] [3] [0]}
pr_t={[1] [2 1] [4] [2]}
pr=[ 2 2 1 1]
add_schedule(T2,'uszeregowanie podzielne',st_t,pr_t,pr); plot(T2)
graphedit
taskset ?
help taskset
T3 = taskset(g1)
plot(T3)
clear
cls
clean
clrscr
help screen
pj=[2 2 3 1 4 5 2 1 2 3]
rj=[0 1 3 4 5 0 2 3 4 5]
dj=[5 4 6 5 3 6 3 4 5 8]
p=problem('P2|rj|Cmax');
help taskset
graphedit
t1=task('t1'2,0,inf,5)
t1=task('t1',2,0,inf,5)
t2=task('t2',2,1,inf,4)
t3=task('t3',3,3,inf,6)
t4=task('t4',1,5,inf,3)
t5=task('t5',4,0,inf,6)
t6=task('t6',5,2,inf,3)
pj=[2 2 3 1 4 5 2 1 2 3] rj=[0 1 3 4 5 0 2 3 4 5] dj=[5 4 6 5 3 6 3 4 5 8]
pj=[2 2 3 1 4 5 2 1 2 3]; rj=[0 1 3 4 5 0 2 3 4 5]; dj=[5 4 6 5 3 6 3 4 5 8]
m={pj,rj,dj}
m
m(,1)
m(1,1)
m=[pj,rj,dj]
pj={2,2,3,1,4,5,2,1,2,3} rj={0,1,3,4,5,0,2,3,4,5} dj={5,4,6,5,3,6,3,4,5,8}
pj={2,2,3,1,4,5,2,1,2,3}; rj={0,1,3,4,5,0,2,3,4,5}; dj={5,4,6,5,3,6,3,4,5,8}
m={pj,rj,dj}
m
m(0,0)
m(1,1)
m={pj rj dj}
t1=task(2,0,inf,5)
t2=task(2,1,inf,4)
t3=task(3,3,inf,6)
t3=task(1,4,inf,5)
t3=task(4,5,inf,3)
t3=task(5,0,inf,6)
t3=task(2,2,inf,3)
t3=task(1,3,inf,4)
t4=task(1,4,inf,5);
t5=task(4,5,inf,3);
t6=task(5,0,inf,6);
t7=task(2,2,inf,3);
t8=task(1,3,inf,4);
t9=task(2,4,inf,5);
t10=task(3,5,inf,8);
T=taskset(t1,t2,t3,t4,t5,t6,t7,t8,t9,t10);h=listsch(T,p,