The document describes the simplex method for solving linear programming problems. It involves iteratively improving the solution by moving from one vertex of the feasible region to an adjacent vertex with a better objective value. The method works by representing the problem in standard form and then performing pivoting steps. It begins with an initial basic feasible solution and moves to adjacent basic feasible solutions until reaching the optimal solution.
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
The traveling salesman problem (TSP) is an algorithmic problem tasked with finding the shortest route between a set of points and locations that must be visited.
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
The traveling salesman problem (TSP) is an algorithmic problem tasked with finding the shortest route between a set of points and locations that must be visited.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
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6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
2. SIMPLEX METHOD
The general problem of optimizing a linear
function of several variables subject to a set of
linear constraints:
2
3. SIMPLEX METHOD
• Consider the following linear programming problem in two
variables:
• A feasible solution to this problem is any point (x, y) that
satisfies all the constraints of the problem
• An optimal solution, a point in the feasible region with the
largest value of the objective function z = 3x + 5y.
• Our task is to find an optimal solution
3
4. SIMPLEX METHOD
• To apply the simplex method to a linear
programming problem, it has to be represented
in a special form called the standard form.
• The standard form has the following
requirements:
– It must be a maximization problem.
– All the constraints (except the nonnegativity
constraints) must be in the form of linear equations
with nonnegative right-hand sides.
– All the variables must be required to be nonnegative.
4
7. SIMPLEX METHOD – Solved Example
• Constraint is given as an inequality
• Add slack variable to convert it into equivalent
equation.
7
8. SIMPLEX METHOD – Solved Example
• Convert the given problem into a the standard
form of linear programming problem in four
variables:
8
9. SIMPLEX METHOD – Solved Example
• Now the Problem is of the standard form:
9
10. Create the initial Simplex Tableau
• Use the Constraints for the first two rows of the table
• Use the negative coefficient values of the Objective Function for the 3rd row
Objective Row
10
13. Steps to be Followed
• Find Entering Variable
– Find the Pivot Column
• Find Departing Variable
– Calculate value
– Find the Pivot Row
• Find Pivot Value (c)
• Pivoting
– Update the Pivot Row with the Pivot Value (row/c)
– Update the other Two Rows
• Check for Convergence
13
16. Identify Pivot Row
• compute the by dividing the row’s last
entry by the entry in the pivot column.
Least Column Value in the Objective Row
Objective Row
Pivot Column
16
17. Identify Pivot Row
• compute the by dividing the row’s last
entry by the entry in the pivot column.
Least Column Value in the Objective Row
Objective Row
Pivot Column
17
18. Identify Pivot Row
• compute the by dividing the row’s last
entry by the entry in the pivot column.
Least Column Value in the Objective Row
Objective Row
Pivot Column
18
19. Identify Pivot Row
• compute the by dividing the row’s last
entry by the entry in the pivot column.
Objective Row
Pivot Column
Least Value
19
20. Identify Pivot Row
• compute the by dividing the row’s last
entry by the entry in the pivot column.
Objective Row
Pivot Column
Least Value
20
21. Identify Pivot Row
• compute the by dividing the row’s last
entry by the entry in the pivot column.
Objective Row
Pivot Column
Least Value
21
22. Identify Pivot Row
• compute the by dividing the row’s last
entry by the entry in the pivot column.
Objective Row
Pivot Column
Least Value
Pivot Row
22
23. Identify Pivot Row
• compute the by dividing the row’s last
entry by the entry in the pivot column.
Objective Row
Pivot Column
Least Value
Pivot Row
Pivot Value
23
24. Identify Entering & Departing Variables
Objective Row
24
Entering Variable Y
Departing Variable V
25. Identify Entering & Departing Variables
Objective Row
25
Entering Variable Y
Departing Variable V
26. Identify Entering & Departing Variables
Objective Row
26
Entering Variable Y
Departing Variable V
27. Pivoting
Divide all the entries of the pivot row by the pivot
value
Objective Row
Pivot Row
Pivot Value
27
51. Steps to be Followed
• Find Entering Variable
– Find the Pivot Column
• Find Departing Variable
– Calculate value
– Find the Pivot Row
• Find Pivot Value (c)
• Pivoting
– Update the Pivot Row with the Pivot Value (row/c)
– Update the other Two Rows
• Check for Convergence
51