Matrix in real life.pptx
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Matrices have various applications in real life including encryption, 3D games, economics, construction, geology, computer animations, physics, statistics, robotics, and more. They are used to encode and decode data, describe geometric transformations in games, calculate GDP, assist with structural analysis, plot graphs for scientific studies, perform operations like rotation and translation in animations, solve problems in electrical circuits and quantum mechanics, analyze population data, and control robot movements through calculations.
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![What is a matrix?
A matrix is a rectangular arrangement of numbers into rows and columns.It is also
represented by m×n which means m rows and n columns.
The elements of the matrix are enclosed by any of the brackets.(i.e) [ ] , ( ), { }.](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Matrix and it's Application
This document discusses matrices and their uses. It defines what a matrix is and provides examples of different types of matrices like row matrices, column matrices, null matrices, identity matrices, diagonal matrices, triangular matrices, and transpose matrices. It then discusses some applications of matrices like in cryptography for encrypting messages, in electrical circuits, quantum mechanics, optics, robotics, automation, economics, and more. Matrices are useful for tasks like plotting graphs, scientific studies, page ranking algorithms, image projection, representing real world data, and calculating gross domestic products.
Applications of matrices in Real\Daily life
Matrices are used in a wide variety of applications in real life. They are used in physics for electrical circuits and quantum mechanics. Stochastic matrices are used in page rank algorithms like Google search. Matrices are also used for encryption in computer applications and coding messages. They allow for secure transmission of data online and for banks. Matrices are applied in fields like geology, statistics, science, economics, robotics, and by scientists recording experimental data. They provide a way to represent and analyze real world data.
Use of matrix in daily life
What is matrix? Matrix in physics. Matrix in computer science. Matrix in encryption. Matrix in others sector. geology surveys,robot movement,scientific experiment.
Application of Matrices in real life | Matrices application | The Matrices
Matrices can be used to transform vectors by changing their magnitude and direction. Matrices are useful for applications like rotating vectors, solving systems of linear equations, and encoding/decoding messages for cryptography. As an example, a message can be encoded using a matrix, transmitted as encoded values, and then decoded by the receiver using the inverse matrix. Eigenvectors are vectors that only change in magnitude and not direction when multiplied by a matrix. They can be used to model real-world systems changing over time, like populations of humans and zombies.
Application of matrices in Daily life
In this Presentation,Matrices with their Origin are explained along with its interdisciplinary Applications
Applications of matrices in real life
Matrices are rectangular arrangements of numbers or expressions that are organized into rows and columns. They have many applications in fields like physics, computer science, mathematics, and engineering. Specifically, matrices are used to model electrical circuits, for image projection and page ranking algorithms, in matrix calculus, for encrypting messages, in seismic surveys, representing population data, calculating GDP, and programming robot movements. Matrices play a key role in solving problems across many domains through their representation of relationships between variables.
Application of Matrices in real life
Matrices have various applications in real life. They are used in physics to study electrical circuits, quantum mechanics, and optics. Programmers also use matrices and inverse matrices for coding and encrypting messages. In dimensional work, matrices help project 3D images onto 2D screens to create realistic motions. Matrices are applied in economics to calculate GDP and efficiently measure goods production. They also help organizations like scientists record experiment data. Google search uses matrices in its page rank algorithm to rank search results.
Application of Matrices
The following presentation consists of information about the application of matrices. The ppt particularly focuses on the its use in cryptography i.e. encoding and decoding of messages.
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Matrix and it's Application
This document discusses matrices and their uses. It defines what a matrix is and provides examples of different types of matrices like row matrices, column matrices, null matrices, identity matrices, diagonal matrices, triangular matrices, and transpose matrices. It then discusses some applications of matrices like in cryptography for encrypting messages, in electrical circuits, quantum mechanics, optics, robotics, automation, economics, and more. Matrices are useful for tasks like plotting graphs, scientific studies, page ranking algorithms, image projection, representing real world data, and calculating gross domestic products.
Applications of matrices in Real\Daily life
Matrices are used in a wide variety of applications in real life. They are used in physics for electrical circuits and quantum mechanics. Stochastic matrices are used in page rank algorithms like Google search. Matrices are also used for encryption in computer applications and coding messages. They allow for secure transmission of data online and for banks. Matrices are applied in fields like geology, statistics, science, economics, robotics, and by scientists recording experimental data. They provide a way to represent and analyze real world data.
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Matrices can be used to transform vectors by changing their magnitude and direction. Matrices are useful for applications like rotating vectors, solving systems of linear equations, and encoding/decoding messages for cryptography. As an example, a message can be encoded using a matrix, transmitted as encoded values, and then decoded by the receiver using the inverse matrix. Eigenvectors are vectors that only change in magnitude and not direction when multiplied by a matrix. They can be used to model real-world systems changing over time, like populations of humans and zombies.
Application of matrices in Daily life
In this Presentation,Matrices with their Origin are explained along with its interdisciplinary Applications
Applications of matrices in real life
Matrices are rectangular arrangements of numbers or expressions that are organized into rows and columns. They have many applications in fields like physics, computer science, mathematics, and engineering. Specifically, matrices are used to model electrical circuits, for image projection and page ranking algorithms, in matrix calculus, for encrypting messages, in seismic surveys, representing population data, calculating GDP, and programming robot movements. Matrices play a key role in solving problems across many domains through their representation of relationships between variables.
Application of Matrices in real life
Matrices have various applications in real life. They are used in physics to study electrical circuits, quantum mechanics, and optics. Programmers also use matrices and inverse matrices for coding and encrypting messages. In dimensional work, matrices help project 3D images onto 2D screens to create realistic motions. Matrices are applied in economics to calculate GDP and efficiently measure goods production. They also help organizations like scientists record experiment data. Google search uses matrices in its page rank algorithm to rank search results.
Application of Matrices
The following presentation consists of information about the application of matrices. The ppt particularly focuses on the its use in cryptography i.e. encoding and decoding of messages.
Applications of Matrices
The document discusses matrices and their applications. It begins by defining what a matrix is and some basic matrix operations like addition, scalar multiplication, and transpose. It then discusses matrix multiplication and how it can be used to represent systems of linear equations. The document lists several applications of matrices, including representing graphs, transformations in computer graphics, solving systems of linear equations, cryptography, and secret communication methods like steganography. It provides some high-level details about using matrices for secret codes and hiding messages in digital files like images and audio.
Appilation of matrices in real life
This document discusses the application of matrices in real life. It defines a matrix as a rectangular array of numbers, real or imaginary, within brackets or parentheses. Matrices are used in various fields such as physics, coding encrypted messages, projecting 3D images onto 2D screens, calculating GDP in economics, and ranking web pages in Google's search algorithm. The document also notes that matrices are applied by scientists to record experiments.
Application of matrices in real life and matrix
The document provides an overview of matrices, including:
- A brief history of matrices dating back to ancient times.
- Different types of matrices like row, column, null, square, diagonal, and more.
- Applications of matrices in fields like computer graphics, cryptography, wireless communication, robotics, and chemistry. Matrices are used to represent transformations, encode/decode messages, model wireless signals, program robot movements, and balance chemical equations.
- The document contains examples of matrix usage in graphics, cryptography, wireless communication, robotics, and chemistry.
Application of Matrix
Matrices are rectangular arrangements of numbers, expressions, or symbols organized into rows and columns. They are used across many fields including physics for electrical circuits and optics calculations, computing for 3D graphics and encryption, geology for seismic surveys and data analysis, animation for 3D modeling and transformations, statistics and economics for presenting real-world data and calculating GDP, and other fields like data storage, robotics, analytical concepts, and software design. Matrices have wide applications in science, technology, engineering and mathematics.
Matrices in computer applications
Matrices are used extensively in computer applications related to graphics and image processing. Matrices represent images as a collection of coordinate points, and changing the values in the matrix allows images to be transformed through operations like scaling, rotation, and distortion. Matrices are also used to encrypt and decrypt codes and messages. Overall, matrices play a vital role in computer applications by enabling graphical representations and transformations that would otherwise be very complicated to achieve.
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2. Matrices have various real-world applications including surveys, population data, gross domestic products, robotics, graphics, message encoding, and dimensional works. They are used in tools like Google search algorithms and seismic mapping.
3. The history of matrices dates back to ancient times but the term was introduced in 1850. An important ancient Chinese text from 300 BC to 200 AD provides the first example of using matrices to solve simultaneous linear equations.
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Matrix in real life
Latiful Rahman thanks their teacher for the opportunity to present research on matrices. Matrices are rectangular arrays of numbers that are used in many areas of daily life and applications. They are used in graphics software, physics, engineering, medical imaging, programming, robotics, data storage, geology, economics, and more. Matrices allow for accurate modeling and calculations in complex systems.
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Applications of Matrices
The document discusses matrices and their applications. It begins by defining what a matrix is and some basic matrix operations like addition, scalar multiplication, and transpose. It then discusses matrix multiplication and how it can be used to represent systems of linear equations. The document lists several applications of matrices, including representing graphs, transformations in computer graphics, solving systems of linear equations, cryptography, and secret communication methods like steganography. It provides some high-level details about using matrices for secret codes and hiding messages in digital files like images and audio.
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Matrices are rectangular arrangements of numbers, expressions, or symbols organized into rows and columns. They are used across many fields including physics for electrical circuits and optics calculations, computing for 3D graphics and encryption, geology for seismic surveys and data analysis, animation for 3D modeling and transformations, statistics and economics for presenting real-world data and calculating GDP, and other fields like data storage, robotics, analytical concepts, and software design. Matrices have wide applications in science, technology, engineering and mathematics.
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How we can use or apply Matrices in our Engineering Fields for our useful outputs?
How matrices are used in scientific knowledge?
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Linear algebra is used in many applications including search engine ranking, error correcting codes, graphics, facial recognition, signal analysis, prediction, computer gaming, and quantum computing. It was used in the original Google ranking algorithm and remains important for search today. Linear algebra also allows encoding of data for error correction and is fundamental to representing and projecting 3D graphics onto 2D screens. Facial recognition systems use principal component analysis from linear algebra to identify faces.
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Matrices are two-dimensional arrangements of numbers organized into rows and columns. They have many applications, including in physics for calculations involving electrical circuits, in computer science for image projections and encryption, and in other fields like geology, economics, robotics, and representing population data. Methods for working with matrices include adding, subtracting, multiplying matrices by scalars or other matrices, taking the negative or inverse, and transposing rows and columns. Matrix multiplication is not commutative and order matters.
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Event Link:- https://meetups.mulesoft.com/events/details/mulesoft-mysore-presents-mule-event-processing-models/
Agenda
● What is event processing in MuleSoft?
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● Distinction between the reactive, parallel, blocking & non-blocking processing
For Upcoming Meetups Join Mysore Meetup Group - https://meetups.mulesoft.com/mysore/YouTube:- youtube.com/@mulesoftmysore
Mysore WhatsApp group:- https://chat.whatsapp.com/EhqtHtCC75vCAX7gaO842N
Speaker:-
Shivani Yasaswi - https://www.linkedin.com/in/shivaniyasaswi/
Organizers:-
Shubham Chaurasia - https://www.linkedin.com/in/shubhamchaurasia1/
Giridhar Meka - https://www.linkedin.com/in/giridharmeka
Priya Shaw - https://www.linkedin.com/in/priya-shaw
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9
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Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
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Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
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Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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- 1. APPLICATION OF MATRIX IN REAL LIFE PREPARED BY, SHAHIN SAFANA. M.S FOOD TECHNOLOGY
- 2. What is a matrix? A matrix is a rectangular arrangement of numbers into rows and columns.It is also represented by m×n which means m rows and n columns. The elements of the matrix are enclosed by any of the brackets.(i.e) [ ] , ( ), { }.
- 3. Application of matrix in Encryption: In encryption, we use it to scramble data for security purposes to encode and to decode the data we need matrices. There is a key that helps to encode and decode data which is generated by matrices.
- 4. Application of matrix in 3-D Games: Matrices are used in 3-D graphics to describe geometric transformation, such as translation, rotation and scaling. They are used not only for all game objects, but also for the camera. They are used to create 3-D Co-ordinates to 2-D screen.
- 5. Application of matrix in Economics and Business Matrices are used to calculate gross domestic product in economics and helps with the production, distribution and consumption of goods and services. It is used to study the trends of business, shares, Rick analysis and more.
- 6. Application of matrix in construction: Matrix is a great mathematical tool which can be used in a wide variety in application of civil engineering. Matrix method is useful for structural analysis by stiffness and flexibility. Matrices can helps to support various historical structures.
- 7. Application of matrix in Geology: Matrices are used for taking seismic surveys. Many geologists are using different types of matrices for seismic surveys. They are used for plotting graphs, statistics and also to do scientific studies.
- 8. Application of matrix in computer Animations Matrix helps in making animation more precise and perfect. Software and Hardware graphics use matrices for performing operations like reflection, rotation and translation etc...
- 9. Application of matrix in physics: Matrices are applied in the study of electrical circuits, quantum mechanics and in optics. Matrices plays a major role in calculation like conversion of electrical energy into another useful energy. It helps in solving problems using kirchoff‘s law of voltage and current and also in Quantum physics.
- 10. Application of matrix in statistics: Matrices are used in real –world data such as the population of peoples, birth of infants, mortality rate etc.... It is used to express collections of data for analysis, design, model and so on.
- 11. Application of matrix in Robotics and Automation In Robotics and automation, matrices are the basic components for robot movements. Based on the matrices calculations, they are used for controlling robots for accurate movements.
- 12. Conclusion: Therefore, Matrices are used much more in daily life than people would have thought. In fact it is in front of us everyday when going to work or even at home.