assignment with matlab

Matlab Programming for Numerical Computation

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Course layout.

The course will be covered in eight modules. Various aspects of MATLAB programming for numerical computation will be covered in these modules, with each module dedicated to on equivalent numerical topic. Each module will be covered in one week, with 2–2.5 hours lectures per week. There will be self-study problems at the end of several of these lectures. Assignments will also be posted periodically.

Module 1: Introduction to MATLAB Programming

Module 2: Approximations and Errors

Module 3: Numerical Differentiation and Integration

Module 4: Linear Equations

Module 5: Nonlinear Equations

Module 6: Regression and Interpolation

Module 7: Ordinary Differential Equations (ODE) – Part 1

Module 8: Ordinary Differential Equations (ODE) – Practical aspects

Books and references

Instructor bio.

Prof. Niket Kaisare

Prof. Niket Kaisare is a Professor of Chemical Engineering in IIT-Madras. He works in the area of modeling, design and control for energy applications. He has over ten years of research/teaching experience in academia, and three-year experience in Industrial R&D. He uses computational software, including MATLAB, FORTRAN, Aspen and FLUENT extensively in his research and teaching. Faculty web-page:   http://www.che.iitm.ac.in/~nkaisare/

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• The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
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• Date and Time of Exams: 29th March 2020 , Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
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How do I do multiple assignment in MATLAB?

Here's an example of what I'm looking for:

I'd expect something like this afterwards:

But instead I get errors like:

I thought deal() might do it, but it seems to only work on cells.

How do I solve my problem? Must I constantly index by 1 and 2 if I want to deal with them separately?

• variable-assignment

• 3 Deal works only if foo is a cell. You have defined foo as a standard array. That's why you got the ??? Cell contents reference from a non-cell array object. error message. –  Justin Peel Commented Feb 25, 2010 at 20:17

9 Answers 9

You don't need deal at all (edit: for Matlab 7.0 or later) and, for your example, you don't need mat2cell ; you can use num2cell with no other arguments::

If you want to use deal for some other reason, you can:

• 3 Just a side note, I think you can only get away with not using deal( as in the first example) in Matlab 7+. –  Justin Peel Commented Feb 25, 2010 at 20:59
• Interesting. I didn't know that deal is unnecessary nowadays. However, I used mat2cell on purpose, since I assume that the OP might want to separate columns from each other. –  Jonas Commented Feb 25, 2010 at 21:07
• 3 This is really good. But is there any way to have it all on one line? Maybe something like: [x y] = num2cell(foo){:} (Sorry, still confused by Matlab quite often.) –  Benjamin Oakes Commented Feb 25, 2010 at 21:34
• @Justin: good point, you need version 7.0 (2004) or later. @Jonas: true, mat2cell is good if you want to split up in different ways. @Benjamin: I'm not aware of a one line method, unless you use a cell to begin with; you can use deal(88,12) if you are starting from scalars. It'd be good if we stuff like num2cell(foo){:} for many Matlab commands. –  Ramashalanka Commented Feb 25, 2010 at 23:26

Note that deal accepts a "list" as argument, not a cell array. So the following works as expected:

The syntax c{:} transforms a cell array in a list, and a list is a comma separated values , like in function arguments. Meaning that you can use the c{:} syntax as argument to other functions than deal . To see that, try the following:

To use the num2cell solution in one line, define a helper function list :

• won't the example [a1,a2,a3,a4] = list(1:4) cause Too many output arguments error? –  zhangxaochen Commented Apr 6, 2015 at 12:16

What mtrw said. Basically, you want to use deal with a cell array (though deal(88,12) works as well).

Assuming you start with an array foo that is n-by-2, and you want to assign the first column to x and the second to y, you do the following:

DEAL is really useful, and really confusing. foo needs to be a cell array itself, I believe. The following seems to work in Octave, if I remember correctly it will work in MATLAB as well:

I cannot comment other answers, so separate addition.

you can use deal(88,12) if you are starting from scalars

deal can be used as a one-liner for non-scalars as well, of course if you already have them in separate variables, say:

and now you deal them with one line:

However, if they are packed in one variable, you can only deal them if they are in a cell or structure array - with deal(X{:}) for cell array and deal(S.field) for structure array. (In the latter case only one field is dealt, but from all structures in array.) With Matlab v.7+ you can use X{:} and S.field without deal , as noted in other answers.

Create a function arr2vars for convenience

You can use it then like this

You might be looking for

resulting in

So you have a working one-liner.

There is an easier way.

Full documentation at Mathworks.

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Coursera Course: Introduction to Programming 👩‍💻 with MATLAB ~by Vanderbilt University 🎓

anishLearnsToCode/introduction-to-programming-with-matlab

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Course Status :	Completed
Course Type :	Elective
Duration :	8 weeks
Category :
Credit Points :	2
Undergraduate/Postgraduate
Start Date :	27 Jan 2020
End Date :	20 Mar 2020
Enrollment Ends :	03 Feb 2020
Exam Date :	29 Mar 2020 IST

Name		Name
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Introduction to programming with matlab ~ vanderbilt university.

📹 My YouTube Channel

Week 1: Course Pages

Week 2: the matlab environment, week 3: matrices and operators, week 4: functions, week 5: programmer's toolbox, week 6: selection, week 7: loops, week 8: data types, week 9: file input/output.

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Programming Assignments

• MATLAB as a Calculator
• Lesson 1 Wrap-Up
• Assignment: Colon Operators
• Assignment: Matrix Indexing
• Assignment: Matrix Arithmetic
• Lesson 2 Wrap Up
• Assignment: A Simple Function
• Assignment: Multiple Outputs
• Assignment: Lesson 3 Wrap-Up
• Assignment: Built-In Functions
• Assignment: Matrix Construction
• Assignment: If-Statement Practice
• Assignment: More Practice
• Assignment: nargin
• Assignment: Lesson 5 Wrap-Up
• Assignment: for-loop Practice
• Assignment: while-loop Practice
• Assignment: Logical Indexing
• Lesson 6 Wrap-Up
• Assignment: Character Vectors
• Assignment: Using Cell Arrays
• Assignment: Excel Files
• Assignment: Text Files
• Assignment: Saddle Points
• Assignment: Image Blur
• Assignment: Echo Generator

🎓 Certificate

• MATLAB 88.7%
• Objective-C 0.4%

Browse Course Material

Course info.

• Yossi Farjoun

Departments

• Mathematics

As Taught In

• Programming Languages
• Computational Modeling and Simulation
• Applied Mathematics

Learning Resource Types

Introduction to matlab programming, course meeting times.

Lectures: 1 session / week, 2 hours / session

Recitations: 1 session / week, 1.5 hours / session

Prerequisites

There are no formal prerequisites for this course. It is intended to assist undergraduates in learning the basics of programming in general and programming MATLAB® in particular. Only the very basics of programming in MATLAB will be covered, with the goal of having students become comfortable enough to continue learning MATLAB and other programming languages on their own.

Description

This course site is the result of several iterations of an introductory course I have given at MIT, the last of which was called DR. MATLAB. In that course I strived to change the usual pattern of teaching/learning MATLAB from a programming view point to a mathematical one. The idea is that by thinking about mathematical problems, students are prodded into learning MATLAB for the purpose of solving the problem at hand. The down-side to this approach is that it is somewhat based on the idea that people are already excited about mathematics, or can be excited about it. That said, as I taught the course at MIT, it was not a big problem.

Variables, arrays, conditional statements, loops, functions, and plots are covered in a project-based style where much of the learning happens away from the classroom. Students are expected to spend about 4 hours per week on homework. At the end of the course, students should be able to use MATLAB in their own work, and be prepared to deepen their MATLAB programming skills and tackle other languages for computing, such as Java, C++, or Python.

How to Take/Teach this Course

Access to matlab.

Students need to have access to a computer with MATLAB installed. Which version matters little as the course will be using very basic functionality which hardly changes between versions.

The students should have a way to access their files whenever they start working. If no other solution is possible, a USB “stick” can easily hold the student’s files. The students need to have access to MATLAB outside of class hours.

[ Note to OCW Users : MIT OpenCourseWare does not provide student access or discounts for MATLAB software . It can be purchased from The MathWorks®. For more information about MATLAB Pricing and Licensing , contact The MathWorks ® directly.]

Video Lectures

A set of six supplementary video lectures is provided to augment topics that are not comprehensively covered through lecture notes alone. These videos should be watched when indicated in the lecture notes, and learners are also encouraged to follow along in MATLAB while viewing the video lectures.

Grades are based on homework and a final project.

Exercises, Homework and Projects

Throughout the course, there are Exercises, Homework and Projects.

• Exercises are intended to be done in class as an immediate practice for the material that was just taught, or as “warm-up” in the beginning of a class, to remind the students of the material from last lecture. Students should be encouraged to finish at home the Exercises that they failed to complete in class.
• Homework is intended to be done outside of the classroom, and to be submitted to the instructor in the next meeting.
• Projects are a mixed-bag: The students should be given some time in class to work on them (so they can ask questions and exchange ideas with other students), but they should also be encouraged to work on the projects at home. The projects are quite large, and so it should not be expected that each student completes all the projects. Some discretion should be given as to the selection of projects.

In order to do their homework and work on their projects, students need to have access to computers with MATLAB 24/7. This is crucial as the learning process mostly happens for students on their own. Students should be prepared for this so that they are not frustrated by the steep learning curve. Learning how to program will take much more time than they spend in the classroom. They should expect spending 2–6 hours between classes, doing homework and going over the material from class.

Students should be encouraged to work in groups, but to submit their homework individually. It can be very helpful for students to see where others struggled, and what solutions other students found to the same problems. If teaching a course with many students, a forum or discussion group can be set-up for the purpose of discussing issues and questions on the material.

How to Use this OCW Site

In order to learn how to program, a lot of self-exploration is required. Students are encouraged and should feel free to explore and experiment with the MATLAB interface. Video lecture 6 is dedicated to debugging. Students can refer to it when they need to debug their code. Students should familiarize themselves with the lookfor commands: Type help then press Enter on the command prompt to get a list of help topics

(you can click on any of them to get help on any of these topics). Type help lookfor Enter as a first example of using help (and to learn about lookfor). Throughout the text, MATLAB functions may be used without being formally introduced, in these cases it should be implicitly understood that students are expected to read the relevant helpfile to learn about that function, what it does and how to use it.

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• Effective Simulation Techniques in MATLAB

How to Simulate and Analyze System Responses in MATLAB

MATLAB provides a powerful environment for simulating and analyzing complex systems. Whether you're working on a MATLAB assignment involving experimental validation, examining the effects of damping, or analyzing how different end masses and materials impact system behavior, MATLAB offers robust tools to perform these tasks. In this blog, we will walk you through the essential steps to simulate and analyze system responses effectively.

Setting Up the Simulation Environment

Launching the simulation software.

Begin by opening MATLAB and loading the specific Virtual Instrument (VI) or script necessary for your assignment. For example, you might use a VI like "VIBSIMv9" to start your simulation process.

Configuring Simulation Parameters

Input accurate values for the parameters required in your simulations assignment . Typical parameters might include:

• Length of the Beam: Start with an initial value (e.g., 16 inches or 406.4 mm) and adjust as needed.
• Width and Thickness: Set these dimensions according to the specifications of your beam.
• Damping Coefficient: Begin with a standard value (e.g., 0.01) and vary it to observe its effects.
• End Weight: Set this value to zero initially and adjust for different scenarios.
• Material Type: Input the type of material (e.g., Carbon Steel) to be used in the simulation.

Running the Simulation

Once the parameters are set, proceed with running the simulation:

• Experimental Validation:
• Set the simulation parameters to match the experimental conditions.
• Run the simulation to collect data.
• Save the results in text files, including voltage vs. time and voltage vs. frequency.
• Effects of Damping:
• Adjust the damping coefficient to various values (e.g., 1.00, 3, 5, 7, and 9) and observe how these changes affect the system's frequency response.
• Effects of End Mass and Material Type:
• Vary the end mass and material type, running the simulation for each set of conditions to determine their impact on system performance.

Analyzing the Simulation Data

Collecting data.

During the simulation, focus on the following aspects:

• Magnitude Ratio and Phase Angle: Toggle between these options to analyze how the system's natural frequency and phase lag are influenced by different parameters.

Plotting and Interpreting Results

• Frequency Response vs. End Mass:
• Create plots to visualize how different end masses affect the system's frequency response.
• Compare the system’s behavior with various end weights and discuss the results.
• Frequency Response vs. Damping Coefficient:
• Generate plots to examine how varying damping coefficients impact the system’s performance.
• Analyze how changes in damping affect the amplitude and frequency response.
• Phase Lag vs. Damping Coefficient:
• Plot the phase lag data for different damping coefficients to understand how damping affects phase shift.
• Discuss the implications of these changes on system behavior and performance.

Theoretical Comparison

• Calculate Theoretical Natural Frequencies:
• Use relevant formulas to compute theoretical natural frequencies based on beam properties.
• Compare these theoretical values with your simulation results to assess accuracy.
• Compare Results:
• Evaluate the consistency between your simulation data and theoretical predictions.
• Use experimental data for further validation when possible.

Practical Considerations

Ensuring accuracy.

To achieve accurate results:

• Update the Simulation Routine: Run the simulation multiple times to verify the accuracy of the data.
• Cross-Check with Experimental Data: Whenever feasible, compare your simulation results with experimental observations.

Documenting and Reporting

• Documentation:
• Keep detailed notes on the simulation setup, parameters used, and any observations made during the process.
• Record any changes and their impact on the system’s behavior.
• Report Preparation:
• Prepare a report that includes graphs, calculations, and interpretations of your findings.
• Ensure that your report is comprehensive and clearly presents the results and conclusions.

Analyzing Practical Implications

• Impact of Damping:
• Discuss how varying damping coefficients affect the amplitude of the system's natural frequency.
• Explain the significance of damping in the context of engineering design and system performance.
• Analyze how different end masses and materials impact the system’s behavior.
• Explore the practical implications of these factors in real-world applications and engineering systems.

Simulating and analyzing system responses in MATLAB involves setting up your simulation environment, running simulations with varying parameters, and analyzing the resulting data. By carefully following the steps outlined in this blog, you can effectively manage similar tasks and gain valuable insights into system behavior. With practice and attention to detail, you can enhance your proficiency in using MATLAB for complex simulations and data analysis.

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Effective simulation techniques in matlab submit your assignment, attached files.

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