Skip to main content

C++ Programming


How to run C++ program on your computer

To run any programming language on your local machine or computer you need a compiler first. The compiler reads each and every line of your program. It interprets line by line actually. If there is no error in the program, they only go ahead to run your particular program. In our case, we are using the "DEV C++" compiler to run our programs. You can easily download and install the "DEV C++ application file" or .exe file from the internet.


How to save C++ files on your computer

You simply go to your "DEV C++" and then click on "new" in the file section in the upper tabs. Then save the file adding the ".cpp" extension. For example, if your program name is "myfirstprogram" then save it as "myfirstprogram. cpp". 


Hello World program in C++

#include <iostream> 
using namespace std;           // it calls the library
int main() {                         // it defines the method main()
cout << "Hello World!";  // 'cout' is used for printing
return 0;                             // it returns only one value
}


Result

Hello World!


In the above program, "using namespace std;" calls a library that has a set of signs that are used to identify and refer to objects of various kinds. Here in the 3rd line main() is a method. 



How To Add Comments in C++ Programming

To add comments in C++ Programming you need to write "//", then write your comment. 

For Example

#include <iostream>

using namespace std;

int main() {

int x = 22; //declaring of variable x

if (x >= 10) {

cout << "It is true";

}

else {

cout << "It is false";

}

/* 

It is a comment on multiple lines

If...else is used for adding conditions in C programming

*/

return 0;

}


Here, in the above code single line comment is written after "//". But if comments contain multiple lines then we use "/* Your Comment of multiple lines */" as shown in the above code.



Declaring of Variable in C++

In all programming languages, we declare some variable for specific purposes.


#include <iostream>

using namespace std;

int main() {

  int x = 5;

  int y = 10;

  int sum = x + y;

  cout << "Value of x + y = " << sum;

}


Result

Value of x + y = 15


Here in the above code, we've declared two variables x = 5, and y=10.



'Else If' Condition in C++ Programming

#include <iostream>

using namespace std;

int main() {

  int product;

  cout << "Enter the number of product: ";

  cin >> product; 

  if (product < 500) {

    cout << "Total price = " << product*20;

  } else if (product >= 500 && product < 1000) {

    cout << "Total price = " << product*18;

  } else {

    cout << "Total price = " << product*15;

  }

  return 0;

}


Result

Enter the number of products: 400

Total price = 8000


We implemented three different conditions for an e-commerce application for the wholesale market in the code above. If you buy less than 500 items, you'll have to pay $20 for each one. If you buy more than 500 but fewer than 1000 units, you pay 18 dollars for each unit. The third condition is that if you purchase more than 1000 items, you will be charged $15 for each item.

 

While For - Loop in C++ Programming


We often need to run a loop inside a program to run several iterations and impose many logics, conditions, etc. 


Example

In a school sport, a group of three pupils will compete in a three-round running race. After each round, you must record the time taken by each student. Calculate the average time taken by each student over the three rounds once they have completed all of the rounds, and choose the student with the lowest average timing as the best runner. If more than one student meets the minimum average timing criteria, they must all be chosen. Show the fastest runner's name and average timing.


Solution in C++

Inputs:

The time taken by three students over three rounds to complete a 100-meter run is as follows

Student A: 8, 9, 9 (in second)

Student B: 9, 8, 12 (in second)

Student C: 7, 11, 9 (in second)

Condition:

All students will be judged unfit if they fail to maintain an average timing of 12 seconds over the three rounds, or if the time average taken by all students is greater than 12 seconds.

The input of the code is below:

8

9

7

9

8

11

9

12

9

Code:

#include <iostream>

#include <cmath>

using namespace std;

int main() {

int x, T1=0, T2=0, T3=0, count=1;

double A1, A2, A3;

while (count <=9)

{

cin >> x;

if(count%3==1)

T1=T1+x;

else if(count%3==2)

T2=T2+x;

else

T3=T3+x;

count++;

}

A1= (T1/3);

A2= (T2/3);

A3= (T3/3); 

if(A1>=12 && A2>=12 && A3>=12) {

cout<<"All trainees are unfit";

return 0;

}

if(A1<=A2 && A1<=A3){

cout<<"Student A"<<endl;

}

if(A2<=A1 && A2<=A3){

cout<<"Student B"<<endl;

}

if(A3<=A1 && A3<=A2){

cout<<"Student C"<<endl;

}

return 0;

}

Result:

Student A


We can say Student A takes less average time to cover 3 rounds of 100 meters runs.


 

Solve the following C Programs

#include<stdio.h>
int main() {
int a=2,b=2;
a=b<<a;
printf("%d", a);
return 0;
}


Output: 8


Explanation:

Operator "<<" denotes the left shifting of bits and operator ">>" denotes the right shifting of bits.

So, here operation occurs in bit level

b = 2 = binary 10; If we shift bits in the left direction by 2 places then it will be 1000 which is equal to decimal 8

So, the output will be 8 in the above code.

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

Theoretical BER vs SNR for binary ASK, FSK, and PSK with MATLAB Code + Simulator

📘 Overview & Theory 🧮 MATLAB Codes 📚 Further Reading Bit Error Rate (BER) Equations BER formulas for ASK, FSK, and PSK modulation schemes. ASK BER = 0.5 × erfc(0.5 × √SNR) FSK BER = 0.5 × erfc(√(SNR / 2)) PSK BER = 0.5 × erfc(√SNR) Theoretical BER vs SNR for Amplitude Shift Keying (ASK) The theoretical Bit Error Rate (BER) for binary ASK depends on how binary bits are mapped to signal amplitudes. For typical cases: If bits are mapped to 1 and -1, the BER is: BER = Q(√(2 × SNR)) If bits are mapped to 0 and 1, the BER becomes: BER = Q(√(SNR / 2)) Where: Q(x) is the Q-function: Q(x) = 0.5 × erfc(x / √2) SNR : Signal-to-Noise Ratio N₀ : Noise Power Spectral Density Understanding the Q-F...

Simulation of ASK, FSK, and PSK using MATLAB Simulink (with Online Simulator)

📘 Overview 🧮 How to use MATLAB Simulink 🧮 Simulation of ASK using MATLAB Simulink 🧮 Simulation of FSK using MATLAB Simulink 🧮 Simulation of PSK using MATLAB Simulink 🧮 Simulator for ASK, FSK, and PSK 🧮 Digital Signal Processing Simulator 📚 Further Reading ASK, FSK & PSK HomePage MATLAB Simulation Simulation of Amplitude Shift Keying (ASK) using MATLAB Simulink In Simulink, we pick different components/elements from MATLAB Simulink Library. Then we connect the components and perform a particular operation. Result A sine wave source, a pulse generator, a product block, a mux, and a scope are shown in the diagram above. The pulse generator generates the '1' and '0' bit sequences. Sine wave sources produce a specific amplitude and frequency. The scope displays the modulated signal as well as the original bit sequence created by the pulse generator. Mux i...

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...(MATLAB Code + Simulator)

Bit Error Rate (BER) & SNR Guide Analyze communication system performance with our interactive simulators and MATLAB tools. 📘 Theory 🧮 Simulators 💻 MATLAB Code 📚 Resources BER Definition SNR Formula BER Calculator MATLAB Comparison 📂 Explore M-ary QAM, PSK, and QPSK Topics ▼ 🧮 Constellation Simulator: M-ary QAM 🧮 Constellation Simulator: M-ary PSK 🧮 BER calculation for ASK, FSK, and PSK 🧮 Approaches to BER vs SNR What is Bit Error Rate (BER)? The BER indicates how many corrupted bits are received compared to the total number of bits sent. It is the primary figure of merit for a...

MATLAB Code for Constellation Diagram of QAM configurations such as 4, 8, 16, 32, 64, 128, and 256-QAM

📘 Overview of QAM 🧮 4-QAM MATLAB 🧮 16-QAM MATLAB 🚀 Online Simulator 📂 Other Topics on Constellation Diagrams... ▼ 🧮 MATLAB Code for 4-QAM 🧮 MATLAB Code for 16-QAM 🧮 MATLAB Code for m-ary QAM 🧮 Simulator for m-ary PSK 🧮 Simulator for m-ary QAM 🧮 Overview of Energy per Bit (Eb / N0) 🧮 Simulator for ASK, FSK, and PSK Overview of QAM One of the best-performing modulation techniques is QAM [↗] . Here, we modulate the symbols by varying the carrier signal's amplitude and phase in response to the variation in the message signal (or voltage variation). So, we may say that QAM is a combination of phase and amplitude modulation. Additionally, it performs better than ASK or PSK [↗] . In fact, any constellation for any type of modulatio...

OFDM Waveform with MATLAB Code

  In OFDM (Orthogonal Frequency Division Multiplexing) , we transmit multiple orthogonal subcarriers simultaneously. Since the subcarriers are orthogonal , they do not interfere with each other, which is one of the main advantages of OFDM. Practically, OFDM converts a wideband signal into multiple narrowband orthogonal subcarriers. For typical wireless communication, if the signal bandwidth (or symbol duration) exceeds the coherence bandwidth of the channel, the signal experiences frequency-selective fading . Fading distorts the signal, making it difficult to recover the original information. By using OFDM, we transmit the same wideband signal across multiple orthogonal narrowband subcarriers, reducing the effect of fading. For example, if we want to transmit a signal of bandwidth 1024 kHz , we can divide it into N = 8 subcarriers . Each subcarrier is then spaced by: Δf = Total Bandwidth N = 1024 8 kHz...

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   •   Interactive ASK, FSK, and BPSK tools updated for 2025. Start Now Interactive Modulation Simulators Visualize binary modulation techniques (ASK, FSK, BPSK) in real-time with adjustable carrier and sampling parameters. 📡 ASK Simulator 📶 FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator More Topics Simulator for Binary ASK Modulation Digital Message Bits Carrier Freq (Hz) Sampling Rate (...

Power Spectral Density Calculation Using FFT in MATLAB

📘 📘 Overview 🧮 🧮 Steps to calculate 💻 🧮 MATLAB Codes 📚 📚 Further Reading Power spectral density (PSD) tells us how the power of a signal is distributed across different frequency components, whereas Fourier Magnitude gives you the amplitude (or strength) of each frequency component in the signal. Steps to calculate the PSD of a signal Firstly, calculate the fast Fourier transform (FFT) of a signal. Then, calculate the Fourier magnitude (absolute value) of the signal. Square the Fourier magnitude to get the power spectrum. To calculate the Power Spectral Density (PSD), divide the squared magnitude by the product of the sampling frequency (fs) and the total number of samples (N). Formula: PSD = |FFT|^2 / (fs * N) Sampling frequency (fs): The rate at which the continuous-time signal is sampled (in Hz). ...

FastAPI Static Files – Overview

FastAPI Static Files Often, a web application needs to include resources that do not change, even when dynamic data is rendered. These resources are called static assets . Examples of static files include: Images ( .png , .jpg ) JavaScript files ( .js ) Stylesheets ( .css ) Installing Required Library To handle static files in FastAPI, you need the aiofiles library. pip install aiofiles Mounting Static Files FastAPI uses the StaticFiles class to serve static content. You mount a folder (usually named static ) so that all files inside it can be accessed via a URL. from fastapi import FastAPI from fastapi.staticfiles import StaticFiles app = FastAPI() app.mount("/static", StaticFiles(directory="static"), name="static") Example 1: Using an Image Place an image file (for example, fa-logo.png ) inside the static folder. main.py from fastapi import FastAPI, Request from fastapi.responses import HTMLRespon...