String literals in python are surrounded by either single quotation marks, or double quotation marks. Strings can be output to screen using the print function. For example: print("hello"). Like many other popular programming languages, strings in Python are arrays of bytes representing unicode characters.
C Programming/Strings. A string in C is merely an array of characters. The length of a string is determined by a terminating null character: '-' . So, a string with the contents, say, "abc" has four characters: 'a' , 'b' , 'c' , and the terminating null character.
String literals in python are surrounded by either single quotation marks, or double quotation marks. Strings can be output to screen using the print function. For example: print("hello"). Like many other popular programming languages, strings in Python are arrays of bytes representing unicode characters.
C Programming/Strings. A string in C is merely an array of characters. The length of a string is determined by a terminating null character: '-' . So, a string with the contents, say, "abc" has four characters: 'a' , 'b' , 'c' , and the terminating null character.
Command-line arguments are given after the name of the program in command-line shell of Operating Systems.
To pass command line arguments, we typically define main() with two arguments : first argument is the number of command line arguments and second is list of command-line arguments.
Provides an introductory level understanding of the Python Programming Language and language features. Serves as a guide for beginners and a reference to Python basics and language use cases.
Python Loops Tutorial | Python For Loop | While Loop Python | Python Training...Edureka!
This Edureka "Python Loops" tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) will help you in understanding different types of loops used in Python. You will be learning how to implement all the loops in python practically. Below are the topics covered in this tutorial:
1) Why to use loops?
2) What are loops?
3) Types of loops in Python: While, For, Nested
4) Demo on each Python loop
Command-line arguments are given after the name of the program in command-line shell of Operating Systems.
To pass command line arguments, we typically define main() with two arguments : first argument is the number of command line arguments and second is list of command-line arguments.
Provides an introductory level understanding of the Python Programming Language and language features. Serves as a guide for beginners and a reference to Python basics and language use cases.
Python Loops Tutorial | Python For Loop | While Loop Python | Python Training...Edureka!
This Edureka "Python Loops" tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) will help you in understanding different types of loops used in Python. You will be learning how to implement all the loops in python practically. Below are the topics covered in this tutorial:
1) Why to use loops?
2) What are loops?
3) Types of loops in Python: While, For, Nested
4) Demo on each Python loop
Lecture will cover:
1- NEW DIAGNOSTIC CRITERIA OF ALZHEIMER’S DISEASE (NEUROCOGNITIVE DISORDERS)
2- EARLY AND PRODROMAL PHASES OF NCD
3- THE CURRENT , MOST VALIDATED BIOMARKERS
4- ATYPICAL FORMS OF Dementia of Alzheimer's type, ‘POSTERIOR SHIFT’
How to use a Kalman Filter in Brand Tracking?Ray Poynter
Sample variability makes it difficult to distinguish between noise and true shifts. Traditionally, we rely on rolling averages to smooth out the extremes. Kalman Filter offers a flexible alternative and allows us to incorporate prior/additional information related to the sample and the market environment.
Note, in statistics and control theory, Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory. One of the first uses of Kalman Filter was in the Apollo navigation computer.
Genetic algorithm are an optimization technique used to solve nonlinear or non differentiable optimization problems.
They use concepts from evolutionary biology to search for a global minimum to an optimization problem.
Genetic algorithms work by starting with an initial generation of candidate solutions that are tested against the objective function. We then generate subsequent generation of point from the first generation through selection, crossover and mutation.
Lets take a look at the different technique selection crossover and mutation on an example of a binary problem where the variables in the optimization problem can either take on a value of zero or one.
Selection means to retain the best performing parents from one generation to the next
To selection those make it through to the next generation just because they performed well in the previous generation
Now because they performed well they might also be used for crossover and then cross over what we do is we select common similarities between the different parent variables and keep those the same to create children variables that will be in the next generation.
The last thing is what’s known as mutation where we take a parent and mutate certain variables to take on random values and we create a child based off of the mutation.
A mutation allow genetic algorithms to avoid falling into local minima and it really helps them explore the solution space well.
So lets see an example of how this might work on an optimization problem of two variables x and y and the three sets of contours that we have here are each different minima to the optimization problem.
Now the green minima and the red minima our local minima while the blue one actually happens to be a global minima.
The yellow dots on here are the initial points , are the first generation for my genetic algorithm.
So the first step that the genetic algorithm does is . it evaluates all these points and determines the fitness function value for each one of them.
The next thing that will do is it will select a few good solution as the parent two continue on to the next generation.
So these green points here did we will keep those for the next generation and will also use them to create the subsequent generation.
So for iteration 2 regenerate those new points through selection crossover and mutation and then we evaluate the new population
We then repeat this process of generating new generation until the algorithm converges.
Genetic algorithms can converges through a variety of convergence criteria.
A couple popular ones are a fixed number of generation so the genetic algorithm will just run until it hit a certain number of generations
Another one is it will converge when the best objective function or best fitness function value is no longer changing or its changing by a really small amount.
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical...Koorosh Aslansefat
Ensuring safety and explainability of machine learning (ML) is a topic of increasing relevance as data-driven applications venture into safety-critical application domains, traditionally committed to high safety standards that are not satisfied with an exclusive testing approach of otherwise inaccessible black-box systems. Especially the interaction between safety and security is a central challenge, as security violations can lead to compromised safety. The contribution of this paper to addressing both safety and security within a single concept of protection applicable during the operation of ML systems is active monitoring of the behaviour and the operational context of the data-driven system based on distance measures of the Empirical Cumulative Distribution Function (ECDF). We investigate abstract datasets (XOR, Spiral, Circle) and current security-specific datasets for intrusion detection (CICIDS2017) of simulated network traffic, using distributional shift detection measures including the Kolmogorov-Smirnov, Kuiper, Anderson-Darling, Wasserstein and mixed Wasserstein-Anderson-Darling measures. Our preliminary findings indicate that the approach can provide a basis for detecting whether the application context of an ML component is valid in the safety-security. Our preliminary code and results are available at https://github.com/ISorokos/SafeML.
https://arxiv.org/abs/2005.13166
Statistical simulation technique that provides approximate solution to problems expressed mathematically.
It utilize the sequence of random number to perform the simulation.
Solving Transportation Problems with Hexagonal Fuzzy Numbers Using Best Candi...IJERA Editor
In this paper, we introduce a Fuzzy Transportation Problem (FTP) in which the values of transportation costs are
represented as hexagonal fuzzy numbers. We use the Best candidate method to solve the FTP. The Centroid
ranking technique is used to obtain the optimal solution.
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Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
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at Integral University, Lucknow, 06.06.2024
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The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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2. Contents
What is Armstrong Number? ................................................................................. 1
Examples of Armstrong Numbers .......................................................................... 2
Programs of Armstrong Numbers .......................................................................... 4
Program for Check a Single Armstrong Number.................................................. 4
Program for Check Armstrong Numbers between limit ...................................... 6
3. Armstrong Numbers Tarun Sharma
P a g e | 1
What is Armstrong Number?
An Armstrong number is any number of n digits which is equal to the sum of nth
power of digits in the number. Generally in most programming cases we consider
numbers from 000 to 999 that is 3 digit numbers. Thus, we also define Armstrong
number is any number of 3 digits as sum of cubes of digits in number.
Let us consider an example:
If ‘XYZ’ is a three digit Armstrong number, then
(X^3) + (Y^3) + (Z^3) = XYZ
If 'XYZA' is a four digit Armstrong number, then
(X^4)+(Y^4) + (Z^4) + (A^4) = XYZA and
If 'ABCDE' is a five digit Armstrong number then
(A^5) + (B^5) + (C^5) + (D^5) + (E^5) = ABCED and likewise.
4. Armstrong Numbers Tarun Sharma
P a g e | 2
Examples of Armstrong Numbers
Armstrong Numbers between different nth numbers of digits:
Between 1 to 9
Where n=1:
There are 9 single digit Armstrong numbers and they are 1-9.
Between 10 to 99
Where n=2:
There are no two digit Armstrong numbers.
Between 100 to 999
Where n=3:
There are 3 three digit Armstrong numbers and they are,
153 = 1^3 + 5^3 + 3^3 = 1+125+27 = 153
370 = 3^3 + 7^3 + 0^3 = 27+343+0 = 370
371 = 3^3 + 7^3 + 1^3 = 27+343+1 = 371
407 = 4^3 + 0^3 + 7^3 = 64+0+343 = 407
Between 1000 to 9999
Where n=4:
There are 4 four digit Armstrong numbers and they are:
1634 8208 9474
5. Armstrong Numbers Tarun Sharma
P a g e | 3
Between 10000 to 99999
Where n=5
There are 5 five digit Armstrong numbers and they are,
54748 92727 93084
Between 100000 to 999999
Where n=6:
There are 6 Six digit Armstrong numbers and they are,
548834
Between 1000000 to 9999999
Where n=7:
There are 7 Seven digit Armstrong numbers and they are,
1741725 4210818 9800817 9926315
Between 10000000 to 99999999
Where n=8:
There are 8 Eight digit Armstrong numbers and they are,
24678050 24678051 88593477
There are only 88 Armstrong numbers and the largest Armstrong number is a 39
digit number which is "115,132,219,018,763,992,565,095,597,973,971,522,401".
6. Armstrong Numbers Tarun Sharma
P a g e | 4
Programs of Armstrong Numbers
Solution of Armstrong Numbers in C Programming Language:
Program for Check a Single Armstrong Number
#include<stdio.h>
#include<conio.h>
#include<math.h>
#include<stdlib.h>
void main()
{
long int n, a,m, c, t, temp, p,i;
char ch;
clrscr();
printf("Enter Your Number:");
scanf("%ld",&n);
temp=t=n; m=0, p=1,c=0,a=0;
while(t>0)
{
c++;
t=t/10;
}
while(n>0)
{
m=n%10;
p=1;
7. Armstrong Numbers Tarun Sharma
P a g e | 5
for(i=1;i<=c;i++)
{
p=p*m;
}
a=a+p;
n=n/10;
}
if(a==temp)
{
printf("Number %ld is a Armstrong Number.",temp);
}
else
{
printf("Number %ld is Not a Armstrong Number.",temp);
}
printf("nnnDo you want to continue... if yes press 1 else any key..");
ch=getch();
if(ch=='1')
{
main();
}
else
{
exit(0);
}
8. Armstrong Numbers Tarun Sharma
P a g e | 6
getch();
}
Output:
Program for Check Armstrong Numbers between limit
#include<stdio.h>
#include<conio.h>
#include<math.h>
#include<stdlib.h>
void main()
{
long int n, a,m, c, t, temp, p,i,l,j;
char ch;
clrscr();
printf("Enter Your Limit:");
scanf("%ld",&l);
printf("nnArmstrong numbers between 1 to %ld arenn",l);
for(j=1;j<=l;j++)
{
temp=t=n=j;
9. Armstrong Numbers Tarun Sharma
P a g e | 7
m=0, p=1,c=0,a=0;
while(t>0)
{
c++;
t=t/10;
}
while(n>0)
{
m=n%10;
p=1;
for(i=1;i<=c;i++)
{
p=p*m;
}
a=a+p;
n=n/10;
}
if(a==temp)
{
printf("%ldt",temp);
}
}
printf("nnnDo you want to continue... if yes press 1 else any key..");
ch=getch();
if(ch=='1')