Search results “Dot product simulink”

Get more lessons like this at http://www.MathTutorDVD.com
Learn how to calculate the dot product between two vectors using matlab. We will also learn how to enter and calculate the vector cross product using matlab.

Views: 164
mathtutordvd

This video is a review of the dot product. It includes how to calculate the scalar dot product and the angle between two vectors.
Engineer It is a video series created primarily to supplement engineering classes at CSU Chico, but also to expose non-engineers to these same concepts in an understandable way. For more information please visit the official website at www.csuchico.edu/engineerit

Views: 517
EngineerItProgram

Large memristor arrays composed of hafnium oxide are demonstrated with suitability for computing matrix operations at higher power efficiency than digital systems. The nonmemory application of memristors is performed in an analog computing platform. Computational operations with 6-bit equivalent precision are shown and utilized to directly compute neural network inference within a memristor crossbar. This is reported by Miao Hu, Catherine E. Graves, Can Li, Yunning Li, Ning Ge, Eric Montgomery, Noraica Davila, Hao Jiang, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia, and John Paul Strachan in the article https://doi.org/10.1002/adma.201705914. To know more, please go to the Advanced Materials homepage.

Views: 735
Advanced Science News

- NEHAL JAIN ([email protected])
(works at qcfinance.in)
Learning Elementary Matlab course –
(Personalized 5 hours of Live interactive classes to help you learn basics of MATLAB)
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Views: 127
Nehal Jain

If the SIGN of the dot product goes negative, then the angle between two vectors is greater than 90 degrees (PI/2), which means the ship has crossed the wall boundary.

Views: 774
Jamie King

for more electrical and electronics simulation video go to
youtube channel - rkk salem
web site http://rkksalem.weebly.com/

Views: 1673
karthik kumar

This video shows how to work with constant and product blocks in matlab/simulink software

Views: 642
Nageswar J

Theory of dot and cross products, and it's calculations in Matlab

Views: 20
raidar ali

Views: 69
TeraSoftTW

Matlab, Simulink use of Mux, Demux & Gain

Views: 1528
Matlab

Learn more about simulating digital control for power electronics: http://bit.ly/2P0GMff
Learn how to design a digital PID controller for a buck-boost converter. As the simulation model contains high-frequency switching and thus cannot be linearized, the transfer function is obtained by using system identification on measured input-output data. The transfer function is then used by the PID Tuner app from Simulink Control Design™ to automatically compute PID gains. PID controller design is verified in nonlinear simulation.
Get free Buck-Boost Converter Control resources: http://bit.ly/2P0MVbq
Download a trial: http://bit.ly/2P77UJK
The example starts with a controller that has not been tuned. Simulation of a step response of output voltage shows that the controller does not provide desired response time. To tune the controller, PID Tuner app is used. The example shows how to open the feedback loop and inject a step signal into the plant. The simulation results are then collected and used for system identification to identify a transfer function of the converter at the current operating condition.
Once the transfer function has been obtained, PID Tuner automatically computes PID Controller gains to meet bandwidth and phase margin requirements. The computed gains are used to update the gains of PID Controller block in the Simulink® model. The full nonlinear simulation is used to verify the improved controller performance that meets response time requirements.
© 2018 The MathWorks, Inc. MATLAB and Simulink are registered
trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.

Views: 827
MATLAB

http://www.mediafire.com/file/ak5lgikam3er5je/PCA.rar/file
https://www.mathworks.com/matlabcentral/answers/400250-rotation-matrix-3d-point-data
--------------------------------------------------------------------------------------------
clear;clc;
load('data.txt');figure(1);scatter3(data(:,1),data(:,2),data(:,3),'.')
%%
hold on;scatter3(42.706,88.286,70.656,'diamond','r')
PCA=pca(data);%use Principal component analysis method
e1=PCA(:,1)'; e2=PCA(:,2)' ;e3=PCA(:,3)'; % 3 principal vector(3 eigenvector) of "data"
n1=[1 0 0] ; n2=[0 1 0] ; n3=[0 0 1]; % 3 unit vector Ox,Oy,Oz
%[PCA,~,lamda] = pca(data);%use this syntax to find eigenvalue of data. lamda is eigenvalue corresponding to 3 eigenvector (e1,e2,e3)
% --------Conclusion1: each eigvector(each Principal component)is unit vector(e1,e2,e3) ---------------------%
% --------Conclusion2: each eigvector(each Principal component) is always perpendicular to each other--------%
% --------It means that "dot product" or "scalar product" of each eigvector is equal to zero-----------------%
% --------Using the below syntax to find "scalar product" of 2 vector----------------------------------------%
% dot(e1,e2); % dot(e1,e3); % dot(e2,e3);
% --------Conclusion3: norm(||..x..||)of each eigvector(e1,e2,e3) is always equal to one-----%
% --------Using the below syntax to find "norm" of each eigvector----------------------------%
% norm(e1); % norm(e2); % norm(e3);
%% transformation matrix from "e" space to "n" space
R=[e1;e2;e3]; % rotation matrix. % match with xyz (e1//n1, e2//n2, e3//n3)
% R=[e3;e2;e1]; % If e1//n3, e2//n2, e3//n1
%%
newdata=(R*data')';
figure(2); n = fitNormal(newdata,1); grid on;
% https://jp.mathworks.com/matlabcentral/fileexchange/37775-plane-fitting-and-normal-calculation
% create the input data: data = rand(50,3)*100; data(:,3) = data(:,1) * .4 + data(:,2) * .6 + rand(50,1);
-------------------------------------GENERAL CASE------------------------------------------
-------------------------------%%%%%%%%%%%%------------------------------------------
%% Load input 3D data
clear;clc;filename = 'test.txt'; inputfile = importfile(filename);
P = inputfile(:,1:3);%get data=coordinate(x,y,z) from set of data
x = P(:,1) ; y = P(:,2) ;z = P(:,3) ; % get (x,y,z) coordinate
x0 = x-mean(x) ; y0 = y-mean(y) ; z0 = z-mean(z) ; % remove mean
P1 = [x0 y0 z0] ; %this step to bring the coord of P near to the origin. The new coord will be created
scatter3(P1(:,1),P1(:,2),P1(:,3),'b.');%plot new coord of P1
HA=[min(P1(:,1)) min(P1(:,2)) max(P1(:,3))+1];%just for better visualaztion
hold on;scatter3(HA(:,1),HA(:,2),HA(:,3),'g.');%just for better visualaztion
%% Finding principal vector of 3D data P
PCA=pca(P);
e1=PCA(:,1)'; e2=PCA(:,2)' ;e3=PCA(:,3)'; % 3 principal vector(3 eigenvector) of "input data"
n1=[1 0 0] ; n2=[0 1 0] ; n3=[0 0 1]; % 3 unit vector Ox,Oy,Oz
%% transformation matrix from "e" space to "n" space
R=[e2;e1;e3]; % rotation matrix , match with xyz (e1//n2, e2//n1, e3//n3)
% R=[e1;e2;e3]; % rotation matrix , match with xyz (e1//n1, e2//n2, e3//n3)
% R=[e3;e2;e1]; % If e1//n3, e2//n2, e3//n1
%% Finding the new rotate data
newdata1=(R*P1')';%new data corresponding to P1 coordinate
hold on; scatter3(newdata1(:,1),newdata1(:,2),newdata1(:,3),'r.');
newdata=[newdata1(:,1)+mean(x),newdata1(:,2)+mean(y),newdata1(:,3)+mean(z)];
%% Plot the original & rotation 3D data
figure;scatter3(P(:,1),P(:,2),P(:,3),'b.');
hold on;scatter3(newdata(:,1),newdata(:,2),newdata(:,3),'r.');
HA=[min(P(:,1)) min(P(:,2)) max(P(:,3))+1];%just for better visualaztion
hold on;scatter3(HA(:,1),HA(:,2),HA(:,3),'g.');%just for better visualaztion
legend('original data(P)','rotated data(newdata)');title({'Plot the rotation matrix 3D point data';'(FINAL RESULT)'});
--------------------------------------------------------------------------------------
See more detail in below web to understand the formula of covariance:
https://www.itl.nist.gov/div898/handbook/pmc/section5/pmc541.htm

Views: 1826
ha

MATLAB Programming Tutorial #17 Basics of Linear Algebra
Complete MATLAB Tutorials @ https://goo.gl/EiPgCF

Views: 1283
Xoviabcs

In this video I explain how to use the Dot Product to help change coordinate systems.

Views: 692
TheMrHandyMan

Implement and automatically tune a field-oriented control system that controls the flux and torque of a three-phase induction motor.
Learn more about Field-Oriented Control: http://bit.ly/2BiB8Q5
Learn more about Motor Control Design: http://bit.ly/2BeNc4U
The control system consists of four PI controllers. The rotor speed and flux controllers in the outer loop provide references to the current controllers in the inner loop using the measured rotor speed and three-phase stator current as well as the Clarke and Park transformations. The four PI controllers are tuned using the Closed-Loop PID Autotuner block in a single simulation. This block injects an excitation signal during closed-loop plant operation to estimate the plant frequency response and automatically tune the PID gains. Based on the PID outputs, a PWM Generator module is used to generate the gate control pulses for the semiconductor switches in the machine-side power inverter, such that the desired flux and torque specifications are met. The Closed-Loop PID Autotuner block is part of Simulink Control Design™ since MATLAB® R2018a and the induction motor and power converters have been modeled in Simscape Power Systems™.
Get a free product Trial: https://goo.gl/ZHFb5u
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
See What's new in MATLAB and Simulink: https://goo.gl/pgGtod
© 2018 The MathWorks, Inc. MATLAB and Simulink are registered
trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.

Views: 1048
MATLAB

AUTOSAR ECU Software Simulation simulates the behavior of an ECU’s Application Software and Basic Software services in a PC-based environment, Simulink®.
Learn more about MathWorks support for AUTOSAR: http://bit.ly/2MVjWRM
This implies replacing the hardware with some form of emulation, which primarily helps in validating the software via modeling simulation. By using Simulink, modeling and simulating the application layer software components are easily done. Now the question is: Can we model and simulate Basic software services? The answer is yes. Many basic software modules exist; we provide out-of-the-box preconfigured caller blocks and reference implementation for NVRAM Manager and Diagnostics Services. It takes time to read the bulky AUTOSAR specifications and understand the specifications of NVRAM Manager and Diag services. So preconfigured service callers and reference implementation blocks are provided to simulate the behavior of the software. This video demonstrates how to use the preconfigured BSW blocks by using the seat belt reminder Simulink model.
Get a free product Trial: https://goo.gl/ZHFb5u
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
See What's new in MATLAB and Simulink: https://goo.gl/pgGtod
© 2018 The MathWorks, Inc. MATLAB and Simulink are registered
trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.

Views: 1146
MATLAB

Dot and Cross Product in Matlab in Urdu/Hindi
Here, you'll learn about dot and cross product of vectors, dot and cross product of vectors in hindi, dot and cross product khan academy, dot and cross product examples, cross multiply, cross product, online matlab compiler, scalar product, online matlab compiler, vector multiplication, dot product of two vectors, simulink.
Download Matlab Software Here:
https://bulkbytes.blogspot.com/2017/10/matlab-2013a-with-serial-key-full.html
Subscribe our channel for more videos:
https://www.youtube.com/channel/UCxeac6DPx87DO0wK2udQtoQ?view_as=subscriber?sub_confirmation=1

Views: 3
Math with Umair

Addition, subtraction, multiplication, division, and exponentiation in Matlab.
Software: Matlab
Version: 2017a.
Topics:
1:30 - Addition (+) operator
4:10 - Multiplication (*) operator
5:28 - The 'clear' and 'clc' commands
6:35 - Multiplication (*), the dot product
8:32 - Multiplication (*), element by element
9:05 - Division (/,\) operator, "left" and "right" divisions
10:21 - Solving multiple linear equations using the "right" division
12:12 - Division (/) operator, element by element
12:30 - Division by zero
12:56 - Exponentiation (*) operator

Views: 344
Yusri Yusup

This video shows the difference between the dot and cross products.
With the vectors [a,b,c] and [x,y,z], the dot product results in the scalar a*x + b*y + c*z.
The cross product results the vector [b*z-c*y, c*x-a*z, a*y-b*x].

Views: 2741
Edward Shore

Introduction to the concept of concatenation in MATLAB

Views: 1156
Cedric Stallworth

This demonstration uses a car to show how you can simulate open- and closed-loop systems in Simulink®.
Download the Simulink Models used in this video: https://goo.gl/XSVvJx
Watch other MATLAB Tech Talks: https://goo.gl/jD0uOH
Get a free Product Trial: https://goo.gl/C2Y9A5
First, you will learn how to model and tune open-loop systems. The goal of the demonstration is to maintain the speed of a car. Then, you’ll explore the behavior of the open-loop system in the presence of a disturbance. To illustrate disturbance rejection, the video shows how to model and simulate a feedback control system . You will gain insight into how feedback control compensates for disturbance. You’ll investigate signals such as error (in this example, the error is the difference between the measured and desired output), actuating signal (here, the actuating signal is the pedal’s position) and system output (in this example, the output is speed).

Views: 24123
MATLAB

Learn more on developing battery management systems: http://bit.ly/2P6Z6DA
Battery management systems balance the state of charge of individual cells and ensure the proper charging, discharging, and safe operation of rechargeable battery packs.
Get free resources on Battery Management systems: http://bit.ly/2P1PA4A
Download a trial: http://bit.ly/2P77UJK
Simulink® is used to create a model of a three-cell battery pack that is charged using a constant-current constant-voltage (CCCV) profile, and simultaneously equalizes the state of charge of the cells using on-charge passive balancing. The balancing logic is designed in Stateflow®, and it is ready for automatic C-code generation for hardware implementation."
© 2018 The MathWorks, Inc. MATLAB and Simulink are registered
trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.

Views: 2939
MATLAB

By Vishnu Jujhala and Vinod Kumar, Graduate Student At Texas Tech University, Spring 2015

Views: 1339
Tooraj Nikoubin

matlab4engineers.com

Views: 2675
MATLAB For Engineers

http://adampanagos.org
Matlab vector examples are defined and various vector operations (component-wise operations, scalar product, etc.) are examined and performed in Matlab.
If you enjoyed my videos please "Like", "Subscribe", and visit http://adampanagos.org to setup your member account to get access to downloadable slides, Matlab code, an exam archive with solutions, and exclusive members-only videos. Thanks for watching!
-~-~~-~~~-~~-~-
Checkout my newest video: "Signal Operations: Time Scaling, Downsampling, and Upsampling"
https://www.youtube.com/watch?v=RWM-zmyDKp8
-~-~~-~~~-~~-~-

Views: 1422
Adam Panagos

In this video, we use QGen static analysis capabilities to detect a potential division by zero.

Views: 554
Matteo Bordin

matlab4engineers.com

Views: 300
MATLAB For Engineers

Illustrates how to create a plot from data points in three-dimensional space outlining the path of an object.
Get a free product Trial: https://goo.gl/ZHFb5u
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
See What's new in MATLAB and Simulink: https://goo.gl/pgGtod
© 2018 The MathWorks, Inc. MATLAB and Simulink are registered
trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.

Views: 1460
MATLAB

GY-521-Module & MPU-6050. Demonstrate the Elegoo sketch provided in the tutorial covering the GY-521-Module which uses a 6-axis, 6 DOF, MEMS MPU-6050. A beginner's guide to the Most Complete Starter Kit by Elegoo.
Hello everyone, I'm Rick the Tech Enthusiast here with the next Elegoo Lesson. This is the next lesson on my Arduino UNO Series covering the Most Complete Starter Kit by Elegoo. I try to follow the included tutorial and will point out any changes or corrections as I find them.
As mentioned before, I purchased this Elegoo starter kit and Elegoo isn't sponsoring me. I just thought it would be fun to do a video of each Lesson as I was learning the Arduino environment.
We’ll need a few things from your Elegoo Arduino UNO kit. I’ll list the items below. In this lesson we’re going to check out the GY-521 Module. I’ll step through the Elegoo provided tutorial and briefly explain how code makes this happen. We’ll build and configure a simple circuit that is provided in the tutorial to demonstrate the functionality. The sketch uses Wire.h Library and I2C to communicate to the module. I hope you enjoy it.
Parts you’ll need for the tutorial:
* Elegoo Arduino UNO R3 board
* GY-521 Module
* Four or five female-to-male jumper wires
The next lesson will be Lesson 17: HC-SR501 PIR Sensor
Links:
This lesson’s sketch and associated drawings can be found at [Github](https://github.com/rmorenojr/ElegooTutorial)
* MAX7219 LED Dot Matrix Module 8 x 8 with 5pcs Dupont Line – Amazon: https://www.amazon.com/gp/product/B07775NFS1/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=B07775NFS1&linkCode=as2&tag=rmorenojr-20&linkId=e22554aadef2d560362378583368f4cf
* Elegoo EL-KIT-001 UNO R3 Project Complete Starter Kit with Tutorial for Arduino (63 Items) on Amazon: https://www.amazon.com/gp/product/B01CZTLHGE/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=B01CZTLHGE&linkCode=as2&tag=rmorenojr-20&linkId=ac3601531bad9439bc32c77b0088b741
* Elegoo’s web site https://www.elegoo.com/
https://www.elegoo.com/product/elegoo-uno-r3-project-complete-starter-kit/
* Fritzing Software: http://fritzing.org/download/
* Arduino Language Reference (English): https://www.arduino.cc/reference/en/
* Wire.requestFrom() https://www.arduino.cc/en/Reference/WireRequestFrom
* Wire.read() https://www.arduino.cc/en/Reference/WireRead
* Wire.write() https://www.arduino.cc/en/Reference/WireWrite
* Wire.beginTransmission() https://www.arduino.cc/en/Reference/WireBeginTransmission
* Wire.endTransmission() https://www.arduino.cc/en/Reference/WireEndTransmission
* Wire.requestFrom() https://www.arduino.cc/en/Reference/WireRequestFrom
* Wire.available() https://www.arduino.cc/en/Reference/WireAvailable
* TDK InvenSense MPU-6000 and MPU-6050 https://www.invensense.com/products/motion-tracking/6-axis/mpu-6050/
* Ep. 57 Arduino Accelerometer & Gyroscope Tutorial MPU-6050 6DOF Module by EEEnthusiast https://www.youtube.com/watch?v=M9lZ5Qy5S2s
Music provided by Free Music Archive, by artist Jahzzar - [Jahzzar_-_01_-_Shake_It](http://freemusicarchive.org/music/Jahzzar/)
This is another video for my Arduino tutorial series. If you like the series, be sure to rate and subscribe.
Thanks for watching

Views: 953
Ricardo Moreno

Get more lessons like this at http://www.MathTutorDVD.com
Learn how to work with matrix math in matlab in this lesson. We will learn how to input a matrix and extract elements of matrices.

Views: 52
mathtutordvd

Math Tutor Series for Matlab Programming.

Views: 1823
Ahmed Hamdy

Matlab 2016 is used by Lots of engineers and scientists worldwide to evaluate and plan the systems and products transforming our world.
Matlab is the easiest and most creative software environment for engineers and scientists.
MATLAB (matrix laboratory) is a multi-standard mathematical computing environment and fourth-generation programming language. It is a tool for doing mathematical calculations with matrices and vectors.
Matlab Programming language is established by MathWorks. And Matlab Programming Language Platform is enhanced for solving engineering and Scientific complications.
In this Online Matlab Course, you will learn the all the very important concepts of Matlab programming from entering matrices to the most advanced simulation courses using Matlab and Simulink.
In this Video Lecture : You Will Learn the Very Basics of Getting Started with Matlab 2016 and will learn some very basics tips.
Matrices and Magic Squares
About Matrices
Entering Matrices
sum, transpose, and diag
Expressions
Variables
Numbers
Matrix Operators
Entering Commands
The format Function
Suppressing Output
Entering Long Statements
Command Line Editing
Indexing
Subscripts
The Colon Operator
Concatenation
Deleting Rows and Columns
Scalar Expansion
Types of Arrays
Multidimensional Arrays
Cell Arrays
Characters and Text
Structures

Views: 1118
TheEngineeringWorld

INCA-VLINK a allows the deployment of Simulink® models as executable programs running on standard Windows PCs.This video introduces the main product features and shows how to work with the product.
Since this video contains large screen recordings, we recommend to select a high resolution (Full Screen) and best video quality (HD).
More information on ETAS INCA-VLINK: http://www.etas.com/inca_vlink

Views: 2504
ETAS

Learn basic Stateflow® terminology and functionality, as well as the workflow to design and simulate a simple state diagram.
Stateflow is a graphical environment that enables modeling and simulating decision logic using state machines and flow charts. For more information about Stateflow, please visit the product page.

Views: 1096
MATLAB

Get more lessons like this at http://www.MathTutorDVD.com
Learn how to multiply and divide matrices element by element. This operation is different from the usual matrix multiplication.

Views: 360
mathtutordvd

Learn more about Phased Array System Toolbox: http://www.mathworks.com/videos/phase...
Download a Free Trial of Phased Array System Toolbox: https://www.mathworks.com/programs/tr...
Build a radar data cube for two systems: an eight-element uniform linear array with a single radar target, and an array with 121 elements mounted on the surface of a sphere and 20 targets.
Phased Array System Toolbox™ provides algorithms and apps for the design, simulation, and analysis of sensor array systems in radar, sonar, wireless communications, and medical imaging applications. The system toolbox includes pulsed and continuous waveforms and signal processing algorithms for beamforming, matched filtering, direction of arrival (DOA) estimation, and target detection. It also includes models for transmitters and receivers, propagation, targets, jammers, and clutter.
The system toolbox lets you model the dynamics of ground-based, airborne, or ship-borne multifunction radar systems with moving targets and platforms. You can design end-to-end phased array systems and analyze their performance under different scenarios using synthetic or acquired data. The toolbox apps let you explore the characteristics of sensor arrays and waveforms and perform link budget analysis. In-product examples provide a starting point for implementing custom phased array systems.

Views: 4098
MATLAB

How to Multiply two Matrices ?
How to Multiply two Matrices in Matlab?

Views: 194
Wiki YouTube

This Course Focusing on the Essential Skills you should have if you are using or intended to use MATLAB, the course is about 61 tutorial each of them not more than 15 min, and includes the followings:
Sect 1 - The User Interface - Part 1
Sect 2 - The User Interface - Part 2
Sect 3 - The User Interface - Part 3
Sect 4 - Using the Help Menus
Sect 5 - Basic Arithmetic and Order of Operations
Sect 6 - Exponents and Scientific Notation
Sect 7 - Working with Fractions and the Symbolic Math Toolbox - Part 1
Sect 8 - Working with Fractions and the Symbolic Math Toolbox - Part 2
Sect 9 - Defining and Using Variables
Sect 10 - Adding Comments to your Matlab Code
Sect 11 - Clearing Variables
Sect 12 - Adjusting the Display Precision for Calculations
Sect 13 - Creating and Storing Values in Symbolic Variables
Sect 14 - Performing Calculations with Symbolic Variables
Sect 15 - Factorial, Square Roots, and nth Roots
Sect 16 - Trigonometric Functions and their Inverses
Sect 17 - Hyperbolic Functions and their Inverses
Sect 18 - Exponentials and Logarithms
Sect 19 - Basic Calculations with Complex Numbers
Sect 20 - Calculating the Magnitude and Angle of Complex Numbers
Sect 21 - Trig Functions, Logarithms, and Exponentials with Complex Numbers
Sect 22 - Complex Numbers and the Symbolic Math Toolbox
Sect 23 - Inputting Vectors and Extracting Components
Sect 24 - Adding and Subtracting Vectors and Multiplying Vectors by a Scalar
Sect 25 - Calculating the Vector Dot Product and Cross Product
Sect 26 - Finding the Mean, Sum, and Length of a Vector
Sect 27 - Extracting a Subset of Vector Elements
Sect 28 - Creating Vectors with Evenly Spaced Elements
Sect 29 - Joining Vectors Together
Sect 30 - Multiplying and Dividing Vectors Element-by-Element
Sect 31 - Applying Math Functions to Elements of a Vector
Sect 32 - Creating Vectors with Random Elements
Sect 33 - Calculating Mean, Median, and Standard Deviation of Data in a Vector
Sect 34 - Working with Vectors using the Symbolic Math Toolbox
Sect 35 - Inputting Matrices and Extracting Elements - Part 1
Sect 36 - Inputting Matrices and Extracting Elements - Part 2
Sect 37 - Adding and Subtracting Matrices and Multiplying by a Scalar
Sect 38 - Multiplying Matrices
Sect 39 - Multiplying and Dividing Matrices Element-by-Element
Sect 40 - Finding the Length, Size, Sum, and Number of Elements in a Matrix
Sect 41 - Joining Matrices Together
Sect 42 - Apply Mathematical Functions to Matrices
Sect 43 - Creating an Identity Matrix
Sect 44 - Matrix Transpose, Diagonal Elements, and LU Decomposition
Sect 45 - Solving A System of Equations using Row Reduced Echelon Form
Sect 46 - Matrix Determinant, Inverse, Trace, and Rank
Sect 47 - Matrix Norm, EigenValues, and the Characteristic Polynomial
Sect 48 - Working with Matrices and the Symbolic Math Toolbox
Sect 49 - Solving Algebraic Equations
Sect 50 - Solving Systems of Linear Equations
Sect 51 - Solving Algebraic Equations Symbolically
Sect 52 - Solving Systems of Algebraic Equations Symbolically
Sect 53 - Defining Mathematical Functions
Sect 54 - Taking Derivatives in Calculus
Sect 55 - Evaluating Derivatives at a Point
Sect 56 - Taking Partial Derivatives in Calculus
Sect 57 - Indefinite and Definite Integrals
Sect 58 - Taking Limits in Calculus
Sect 59 - Basic Scatter Plots
Sect 60 - Plotting Functions
Sect 61 - Changing Plot Appearance

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