viết chương trình pascal tính diện tích và chu vi hình chữ nhật, làm tròn 2 chữ số thập phân . biết chiều dài và chiều rộng của hình chữ nhật là 2 số thực được nhập vào từ bàn phím
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uses crt;
var a,b:real;
begin
clrscr;
readln(a,b);
writeln(2*(a+b):4:2);
writeln(a*b:4:2);
readln;
end.
Var cd,cr,cv,dt:real;
Begin
Write('Chieu dai = ');readln(cd);
Write('Chieu rong = ');readln(cr);
cv:=(cd+cr)*2;
dt:=cd*cr;
Writeln('Chu vi la ',cv:10:2);
Write('Dien tich la ',dt:10:2);
Readln
End.
#include <bits/stdc++.h>
using namespace std;
double a,b;
int main()
{
cin>>a>>b;
cout<<"Chu vi la: "<<fixed<<setprecision(2)<<(a+b)*2<<endl;
cout<<"Dien tich la: "<<fixed<<setprecision(2)<<a*b;
return 0;
}
uses crt;
var r,cd,cr,s,p: real;
begin
clrscr;
write('Nhap ban kinh: '); readln(r);
cd:=r*2*3.14;
cr:=1/3*cd;
s:=cd*cr;
p:=(cd+cr)*2;
writeln('Dien tich la: ',s);
writeln('Chu vi la: ',p);
readln;
end.
CÂU 1:
program hinhchunhat;
var a,b,S,C: real;
begin
Write('Nhapdodaicanhthuchata=');readln(a);
Write('Nhapdodaicanhthuhaib=');readln(b);
S:= a*b;
C:=(a+b)*2;
Writeln('Dientichhinhchunhatla:',S);
Writeln('Chuvihinhchunhatla:',C);
readln
end.
CHÚC BẠN HỌC TỐT!
CÂU 2:(lưu ý: câu này thì mik viết chương trình với bán kính hình tròn là sớ thực được nhập từ bàn phím còn số dương thì bn tự tìm hiểu nhe. nếu tìm hiểu đc thì bn chỉ cần thay phần khai báo var thôi nhe.)
program hinhtron;
var r:real;
const pi=3.14;
begin
clrscr;
Write('Nhapbankinh:');readln(r);
Writeln('Chuvihinhtronla:',2*pi*r);
Writeln('Dientichhinhtronla:',pi*r*r);
readln
end.
CHÚC BẠN HỌC TỐT (x2)
a = int(input("Nhập chiều dài: "))
b = int(input("Nhập chiều rộng: "))
chu_vi = 2*(a+b)
dien_tich = a*b
print(f"Chu vi hình chữ nhật là: {chu_vi}")
print(f"Diện tích hình chữ nhật là: {dien_tich}")
Program Chu_nhat; uses crt;
Var a, b, S, CV: real;
Begin
Write('Nhap chieu dai:'); readln(a);
Write('Nhap chieu rong:'); readln(b);
S := a*b;
CV := (a+b)*2;
Writeln('Dien tich hinh chu nhat la:',S:3:2);
Writeln('Chu vi hinh chu nhat la:',CV:3:2);
readln;
end.
Program chunhat;
uses crt;
var a,b,p,s:real;
begin
clrscr;
writeln('Nhap chieu dai va rong cua hinh chu nhat: ');
readln(a,b);
s:=a*b;
p:=(a+b)*2;
write('Chu vi hinh chu nhat la: ', p:1:2);
writeln;
write('Dien tich hinh chu nhat la: ', s:1:2);
readln;
end.
Kết quả:![](data:image/png;base64,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)