- •Варианты заданий для лабораторных работ 1-4 по дисциплинам «Качество и надежность программного обеспечения», «Метрология программного обеспечения»
- •Var sum,upper,lower : real;
- •Var sum : real);
- •Var I : integer;
- •Var I : integer;
- •Var I : integer;
- •Var I : integer;
- •Var I : integer;
- •I : integer;
- •Var I : integer;
- •I : integer;
- •I : integer;
- •I : integer;
- •Var sum : real);
- •Var I : integer;
- •X,delta_x,even_sum,
- •Var I : integer;
- •Var I : integer;
- •Var I : integer;
- •Var I : integer;
- •I : integer;
- •I,n : integer;
- •Var I : integer;
- •Var I : integer;
- •Var I : integer;
- •I : integer;
- •I : integer;
Var I : integer;
begin { setup }
for i:=1 to nrow do
begin
b[i,j]:=y[i];
if j>1 then b[i,j-1]:=a[i,j-1]
end;
coef[j]:=deter(b)/det
end; { setup }
begin { procedure solve }
error:=false;
for i:=1 to nrow do
for j:=1 to nrow do
b[i,j]:=a[i,j];
det:=deter(b);
if det=0.0 then
begin
error:=true;
writeln(chr(7),'ERROR: matrix is singular')
end
else
begin
setup(b,coef,1);
setup(b,coef,2);
setup(b,coef,3)
end { esle }
end; { procedure solve }
procedure linfit(x,y: ary;
var y_calc: ary;
var coef: arys;
nrow: integer;
var ncol: integer);
{ least squares fit to a parabola }
{ nrow sets of x and y pair points }
var a : ary2s;
g : arys;
I : integer;
error : boolean;
sum_x,sum_y,sum_xy,sum_x2,
sum_y2,xi,yi,sxy,syy,
sxx,sum_x3,sum_x4,sum_2y,
denom,srs,x2 : real;
begin { linfit }
ncol:=3; { polynomial terms }
sum_x:=0.0;
sum_y:=0.0;
sum_xy:=0.0;
sum_x2:=0.0;
sum_y2:=0.0;
sum_x3:=0.0;
sum_x4:=0.0;
sum_2y:=0.0;
for i:=1 to nrow do
begin
xi:=x[i];
yi:=y[i];
x2:=xi*xi;
sum_x:=sum_x+xi;
sum_y:=sum_y+yi;
sum_xy:=sum_xy+xi*yi;
sum_x2:=sum_x2+x2;
sum_y2:=sum_y2+yi*yi;
sum_x3:=sum_x3+xi*x2;
sum_x4:=sum_x4+x2*x2;
sum_2y:=sum_2y+x2*yi
end;
a[1,1]:=nrow;
a[2,1]:=sum_x; a[1,2]:=sum_x;
a[3,1]:=sum_x2; a[1,3]:=sum_x2;
a[2,2]:=sum_x2; a[3,2]:=sum_x3;
a[2,3]:=sum_x3; a[3,3]:=sum_x4;
g[1]:=sum_y;
g[2]:=sum_xy;
g[3]:=sum_2y;
solve(a,g,coef,ncol,error);
srs:=0.0;
for i:=1 to nrow do
begin
y_calc[i]:=coef[1]+coef[2]*x[i]+coef[3]*sqr(x[i]);
srs:=srs+sqr(y[i]-y_calc[i])
end;
correl_coef:=sqrt(1.0-srs/(sum_y2-sqr(sum_y)/nrow))
end; { linfit }
{ external procedure plot(x,y,y_calc: ary; nrow: integer);
}
{$I C:PLOT.LIB } { get ptocedure PLOT }
begin { MAIN program }
ClrScr;
get_data(x,y,nrow);
linfit(x,y,y_calc,coef,nrow,ncol);
write_data;
plot(x,y,y_calc,nrow)
end. { MAIN }
Программа 24.
(Требуется согласовать упрощения)
program nlin3;
{ Pascal program to perform a nonlinear least-squares fit for the diffusion
of Zn in CU }
const maxr = 20; { data prints }
maxc = 4; { polynomial terms }
r = 1.987; { gas constant }
type
index = 1..maxr;
ary = array[index] of real;
arys = array[1..maxc] of real;
ary2 = array[1..maxr,1..maxc] of real;
var
x,y,y_calc : ary;
t,d,ex : ary;
coef : arys;
I,n : integer;
nrow,ncol : integer;
done,error : boolean;
correl_coef,srs,
a,b,x2 : real;
procedure get_data(var x,y: ary;
var n: integer);
{ get values for n and arrays t,d }
Var I : integer;
begin
n:=7;
t[1]:=600.0; d[1]:=1.4E-12;
t[2]:=650.0; d[2]:=5.5E-12;
t[3]:=700.0; d[3]:=1.8E-11;
t[4]:=750.0; d[4]:=6.1E-11;
t[5]:=800.0; d[5]:=1.6E-10;
t[6]:=850.0; d[6]:=4.4E-10;
t[7]:=900.0; d[7]:=1.2E-9;
for i:=1 to n do
begin
x[i]:=1.0/(t[i]+273.0);
y[i]:=d[i]
end
end; { proceddure get data }
procedure write_data;
{ print out the answers }