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.



Contact Us

Name

Email *

Message *

Popular Posts

UGC NET Electronic Science Previous Year Question Papers with Solutions

Home / Engineering & Other Exams / UGC NET 2026 PYQ ⬇️ Download Papers and Solutions 📋 Exam Pattern 💡 Preparation Tips ❓ FAQs 📊 Exam Highlights: Electronic Science (88) Feature Details Junior Research Fellowship (JRF) ₹37,000 + HRA per month Eligibility M.Sc/M.Tech in Electronics (55%) Validity of Certificate JRF (3 Years) | Lectureship (Lifetime) 📥 Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading 📂 View All Question Papers June 2025 - Question Paper Download PDF June 2025 - Solved Paper + Explanation ...

MUSIC Algorithm Explained (with MATLAB + Simulator)

Practical Implementation of the MUSIC Algorithm The focus is on how the algorithm works computationally , not just theory, and it explains the denominator (a H E n E n H a) mathematically and intuitively. 1. Introduction The MUSIC (Multiple Signal Classification) algorithm is a high-resolution method used in signal processing and array processing to estimate the Direction of Arrival (DOA) of signals received by a sensor array. Unlike classical beamforming methods, MUSIC uses eigenvector decomposition of the covariance matrix to separate the signal subspace and noise subspace , allowing it to achieve much higher angular resolution. In practical implementations, MUSIC works by: Simulating or collecting array signals Computing the covariance matrix Performing eigenvalue decomposition Separating signal and noise subspaces Scanning possible angles using a steering vector Constructing a pseudo-spectrum where peaks indicate signal directions 2. Signal Mo...

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 Calculation 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 figur...

Constellation Diagrams of ASK, PSK, and FSK (with MATLAB Code + Simulator)

Constellation Diagrams: ASK, FSK, and PSK Comprehensive guide to signal space representation, including interactive simulators and MATLAB implementations. 📘 Overview 🧮 Simulator ⚖️ Theory 📈 Q-function 📚 Resources BASK Modulation Transmits one of two signals: 0 or $\sqrt{E_b}$, representing binary 0 and 1. Simple but sensitive to noise. BFSK Modulation Transmits one of two signals: $\sqrt{E_b}$ on the Y-axis or $\sqrt{E_b}$ on the X-axis. These are orthogonal signals. BPSK Modulation Transmits $+\sqrt{E_b}$ or $-\sqrt{E_b}$ (antipodal signaling). Most efficient binary scheme. ...

MIMO Channel Matrix | Rank and Condition Number

MIMO / Massive MIMO MIMO Channel Matrix | Rank and Condition...   The channel matrix in wireless communication is a matrix that describes the impact of the channel on the transmitted signal. The channel matrix can be used to model the effects of the atmospheric or underwater environment on the signal, such as the absorption, reflection or scattering of the signal by surrounding objects. When addressing multi-antenna communication, the term "channel matrix" is used. Let's assume that only one TX and one RX are in communication and there's no surrounding object. Here, in our case, we can apply the proper threshold condition to a received signal and get the original transmitted signal at the RX side. However, in real-world situations, we see signal path blockage, reflections, etc.,  (NLOS paths [↗]) more frequently. The obstruction is typically caused by building walls, etc. Multi-antenna communication was introduced to address this issue. It makes diversity app...

Wiener Filter in MATLAB

  MATLAB Code  % Wiener Filter Based on Wiener-Hopf Equation % This script demonstrates how to apply the Wiener filter to recover % a reference signal from a noisy signal using the Wiener-Hopf equation. % The filter minimizes the mean squared error between the noisy signal and the reference signal. clear; close all; clc; % Signal Parameters fs = 4000; % Sampling frequency (Hz) T = 1; % Total recording time (seconds) L = T * fs; % Signal length (samples) tt = (0:L-1) / fs; % Time vector ff = (0:L-1) * fs / L; % Frequency vector % Generate Reference Signal (a sinusoid) y = sin(2 * pi * 120 * tt); % Reference sinusoidal signal y = y(:); % Ensure column vector % Create Noisy Signal by Adding Gaussian Noise x = 0.50 * randn(L, 1) + y; % Noisy signal x = x(:); % Ensure column vector % Define Filter Order (Number of Coefficients) N = 200; % Apply Wiener Filter using custom function [xest, b, MSE] = wienerFilt(x, y, N); % Plot Results figure; subplot(411); plot(tt, x, 'k'), hold on, p...

Overmodulation & Distortion in AM

Overmodulation in AM and How It Causes Distortion 1. AM Signal Equation s(t) = A c [1 + μ m(t)] cos(2Ï€ f c t) A c = carrier amplitude m(t) = normalized modulating signal (|m(t)| ≤ 1) μ = modulation index 2. Modulation Index μ = A m / A c - Normal AM: 0 < μ ≤ 1 → no distortion - Overmodulation: μ > 1 → distortion occurs 3. Envelope and Overmodulation A(t) = A c [1 + μ m(t)] - For undistorted AM: 1 + μ m(t) ≥ 0 at all times - If μ > 1: 1 + μ m(t) < 0 at negative peaks → carrier flips Example: Let m(t) = cos(2Ï€ f m t), A c = 1 V, μ = 1.2 Minimum envelope: A min = A c [1 - 1.2] = -0.2 V Negative amplitude → envelope crosses zero → 180° phase flip 4. Mathematical Consequence -A c cos(θ) = A c cos(θ + Ï€) This phase reversal is what causes distortion in the demodulated signal. 5. Instantaneous AM Signal s...

Frequency Selective Fading vs Flat Fading in MATLAB

In the MATLAB code below, a comparison between  frequency-selective fading  and  flat fading  is shown. In frequency-selective fading, multipath propagation causes multiple delayed copies of the signal to arrive at the receiver. When the channel delay spread exceeds the symbol duration, these delayed components overlap, resulting in inter-symbol interference (ISI). In flat fading, ISI does not occur because the signal bandwidth is much smaller than the channel’s coherence bandwidth . Therefore, the channel response remains approximately constant across the signal bandwidth, and all symbols experience the same fading. MATLAB Code for frequency selective fading channel % OFDM over frequency selective Rayleigh fading channel clc; clearvars; close all ; % Simulation parameters nSym = 10^4; % Number of OFDM symbols EbN0dB = 0:2:20; % Eb/N0 range MOD_TYPE = 'MPSK' ; % 'MPSK' or 'MQAM' M = 4; % QPSK N = 64; % Total number ...