This is a very important type of algorithm paradigm which is mostly used to solve any kind of problems like sorting ( merge sort, quick sort), binary search, Tower of Hanoi, etc.
This presentation focus on the optimization problem-solving method i.e. greedy method. It also included a basic definition, components of the algorithm, effective steps, general algorithm, and applications.
This presentation focus on the optimization problem-solving method i.e. greedy method. It also included a basic definition, components of the algorithm, effective steps, general algorithm, and applications.
Dynamic Programming or optimization isatechnique of problem solving whereby,a problem is break down into simple sub problems dependent on each other.These sub problems are solved one by one and there solution are stored. Copy the link given below and paste it in new browser window to get more information on Dynamic Programming:- http://www.transtutors.com/homework-help/economics/dynamic-programming.aspx
Linear programming
Application Of Linear Programming
Advantages Of L.P.
Limitation Of L.P.
Slack variables
Surplus variables
Artificial variables
Duality
LINEAR PROGRAMMING Assignment help services at Globalwebtutors are available 24/ by online LINEAR PROGRAMMING experts , LINEAR PROGRAMMING tutors are available for instant LINEAR PROGRAMMING questions help , LINEAR PROGRAMMING writers can help you with complex LINEAR PROGRAMMING dissertation requirements.
What Is Dynamic Programming? | Dynamic Programming Explained | Programming Fo...Simplilearn
This presentation on 'What Is Dynamic Programming?' will acquaint you with a clear understanding of how this programming paradigm works with the help of a real-life example. In this Dynamic Programming Tutorial, you will understand why recursion is not compatible and how you can solve the problems involved in recursion using DP. Finally, we will cover the dynamic programming implementation of the Fibonacci series program. So, let's get started!
The topics covered in this presentation are:
1. Introduction
2. Real-Life Example of Dynamic Programming
3. Introduction to Dynamic Programming
4. Dynamic Programming Interpretation of Fibonacci Series Program
5. How Does Dynamic Programming Work?
What Is Dynamic Programming?
In computer science, something is said to be efficient if it is quick and uses minimal memory. By storing the solutions to subproblems, we can quickly look them up if the same problem arises again. Because there is no need to recompute the solution, this saves a significant amount of calculation time. But hold on! Efficiency comprises both time and space difficulty. But, why does it matter if we reduce the time required to solve the problem only to increase the space required? This is why it is critical to realize that the ultimate goal of Dynamic Programming is to obtain considerably quicker calculation time at the price of a minor increase in space utilized. Dynamic programming is defined as an algorithmic paradigm that solves a given complex problem by breaking it into several sub-problems and storing the results of those sub-problems to avoid the computation of the same sub-problem over and over again.
What is Programming?
Programming is an act of designing, developing, deploying an executlable software solution to the given user-defined problem.
Programming involves the following stages.
- Problem Statement
- Algorithms and Flowcharts
- Coding the program
- Debug the program.
- Documention
- Maintainence
Simplilearn’s Python Training Course is an all-inclusive program that will introduce you to the Python development language and expose you to the essentials of object-oriented programming, web development with Django and game development. Python has surpassed Java as the top language used to introduce U.S.
Learn more at: https://www.simplilearn.com/mobile-and-software-development/python-development-training
Design & Analysis of Algorithms Lecture NotesFellowBuddy.com
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
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Dynamic Programming or optimization isatechnique of problem solving whereby,a problem is break down into simple sub problems dependent on each other.These sub problems are solved one by one and there solution are stored. Copy the link given below and paste it in new browser window to get more information on Dynamic Programming:- http://www.transtutors.com/homework-help/economics/dynamic-programming.aspx
Linear programming
Application Of Linear Programming
Advantages Of L.P.
Limitation Of L.P.
Slack variables
Surplus variables
Artificial variables
Duality
LINEAR PROGRAMMING Assignment help services at Globalwebtutors are available 24/ by online LINEAR PROGRAMMING experts , LINEAR PROGRAMMING tutors are available for instant LINEAR PROGRAMMING questions help , LINEAR PROGRAMMING writers can help you with complex LINEAR PROGRAMMING dissertation requirements.
What Is Dynamic Programming? | Dynamic Programming Explained | Programming Fo...Simplilearn
This presentation on 'What Is Dynamic Programming?' will acquaint you with a clear understanding of how this programming paradigm works with the help of a real-life example. In this Dynamic Programming Tutorial, you will understand why recursion is not compatible and how you can solve the problems involved in recursion using DP. Finally, we will cover the dynamic programming implementation of the Fibonacci series program. So, let's get started!
The topics covered in this presentation are:
1. Introduction
2. Real-Life Example of Dynamic Programming
3. Introduction to Dynamic Programming
4. Dynamic Programming Interpretation of Fibonacci Series Program
5. How Does Dynamic Programming Work?
What Is Dynamic Programming?
In computer science, something is said to be efficient if it is quick and uses minimal memory. By storing the solutions to subproblems, we can quickly look them up if the same problem arises again. Because there is no need to recompute the solution, this saves a significant amount of calculation time. But hold on! Efficiency comprises both time and space difficulty. But, why does it matter if we reduce the time required to solve the problem only to increase the space required? This is why it is critical to realize that the ultimate goal of Dynamic Programming is to obtain considerably quicker calculation time at the price of a minor increase in space utilized. Dynamic programming is defined as an algorithmic paradigm that solves a given complex problem by breaking it into several sub-problems and storing the results of those sub-problems to avoid the computation of the same sub-problem over and over again.
What is Programming?
Programming is an act of designing, developing, deploying an executlable software solution to the given user-defined problem.
Programming involves the following stages.
- Problem Statement
- Algorithms and Flowcharts
- Coding the program
- Debug the program.
- Documention
- Maintainence
Simplilearn’s Python Training Course is an all-inclusive program that will introduce you to the Python development language and expose you to the essentials of object-oriented programming, web development with Django and game development. Python has surpassed Java as the top language used to introduce U.S.
Learn more at: https://www.simplilearn.com/mobile-and-software-development/python-development-training
Design & Analysis of Algorithms Lecture NotesFellowBuddy.com
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
Recursion and Problem Solving in Java.
Topics:
Definition and divide-and-conquer strategies
Simple recursive algorithms
Fibonacci numbers
Dicothomic search
X-Expansion
Proposed exercises
Recursive vs Iterative strategies
More complex examples of recursive algorithms
Knight’s Tour
Proposed exercises
Teaching material for the course of "Tecniche di Programmazione" at Politecnico di Torino in year 2012/2013. More information: http://bit.ly/tecn-progr
Chart and graphs in R programming language CHANDAN KUMAR
This slide contains basics of charts and graphs in R programming language. I also focused on practical knowledge so I tried to give maximum example to understand the concepts.
The RAID stands for "Redundant Array of Inexpensive Disks" or "Redundant Array of Independent Disks") is a virtualization technology for data storage that incorporates multiple components of physical disc drives into one or more logical units for data replication, performance enhancement or both purposes.
This presentation helps to understand about RAID technology, working, types and different standard levels with their advantages and disadvantages.
This presentation focus on the basic concept of pointers. so that students can easily understand. it also contains basic operations performed by pointer variables and implementation using c language.
In this article, different types of sorting algorithms like the bubble sort, selection sort, etc are discussed. The working method, implementation using C language, and time complexity of different algorithms are also discussed.
Searching is an extremely fascinating and useful computer science technique. It helps to find the desired object with its location and number of occurrences. The presentation includes the basic principles, algorithms and c-language implementation.
An array is a very important derived data type in the C programming language. This presentation contains basic things about arrays like definition, initialization, their types, and examples.
loops play a vital role in any programming language, they allow the programmer to write more readable and effective code. The looping concept also allows us to reduce the number of lines.
This tutorial explains about linked List concept. it contains types of linked list also. All possible graphical representations are included for better understanding.
This tutorial helps beginners to understand, how a variety of if statements help in decision making in c programming. It also contains flow charts and illustrations to improve comprehension
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.
For more information, visit-www.vavaclasses.com
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
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3. Divide and Conquer
It is an algorithm design paradigm which is based on
multi branch recursion.
The divide-and-conquer paradigm is often used to find
an optimal solution to a problem.
It is a technique to break a problem recursively into
sub-problems of the same or related type.
Sub-programs have to be simple enough to be solved
directly.
The solutions to these sub-problems are then
combined to solve the original problem
4. Divide and Conquer
D&C follow following three steps
Divide/Break- Break original problem into sub-
problems
Conquer/Solve - Solve every individual sub-problem,
recursively
Combine/Merge- Place the solutions to the sub-
problems together to solve the entire problem
5. Divide and Conquer
In short, D&C is a approach in which the entire
problem (i.e. too large to comprehend or overcome at
once) is divided into smaller pieces, the pieces are
solved separately, and all the pieces are combined
together.
7. Implementation
Program to calculate pow(x,n) in C language
#include<stdio.h>
#include<conio.h>
/* Function to calculate x raised to the power y */
int power(int x, unsigned int y)
{
if (y == 0)
return 1;
else if (y%2 == 0)
return power(x, y/2)*power(x, y/2);
9. Application
Following computer algorithms are based on divide
and conquer programming approach
Bineary Search
Merge Sort
Quick Sort
Maximum and Minimum Problem
Tower of Hanoi
Strassen's Matrix multiplication
Karatsuba Algorithm
10. Complexity
The complexity of the divide-and-conquer algorithm is
calculated using the master theorem.
T(n) = aT(n/b) + f(n), where
n = size of input
a = number of sub-problems in the recursion
n/b = size of each sub-problem. All sub-problems are
assumed to have the same size
f(n) = cost of the work done outside the recursive call,
which includes the cost of dividing the problem and
cost of merging the solutions
11. Advantages
The complexity for the multiplication of two matrices
using the naive method is O(n3), whereas using the
divide and conquer approach (ie. Strassen's matrix
multiplication) is O(n2.8074).
This strategy also simplifies other issues such as the
Tower of Hanoi.
Suitable for multiprocessing systems.
It does use memory caches effectively.