Learn to Calculate Eigenvectors and Eigenvalues by Hand - Detailed Tutorial With Example скачать в хорошем качестве

Learn to Calculate Eigenvectors and Eigenvalues by Hand - Detailed Tutorial With Example

#controltheory #mechatronics #systemidentification #machinelearning #datascience #recurrentneuralnetworks #timeseries #timeseriesanalysis #signalprocessing #dynamics #mechanics #mechanicalengineering #controltheory #mechatronics #robotics #astrodynamics #astrophysics #physics #chaos #apphysics #apmaths #mathematics #mathematicians #calculus #electricalengineering #mechanicalengineering #engineering #leastsquares #nonlinearsystems #modelpredictivecontrol #optimalcontrol #controlengineering #controltheory #optimalcontrol #modelpredictivecontrol #robotics #reinforcementlearning #automation #industrialautomation #processcontrol #systemidentification #machinelearning #python #optimization #datascience #timeseries #automation #robotics #mechatronics #gnc #nonlinear #mathematics #signalprocessing #processengineering #processautomation #cpp #optimization #numericalcomputing #eigenvalues #eigenvector It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way: Buy me a Coffee: https://www.buymeacoffee.com/Aleksand... PayPal: https://www.paypal.me/AleksandarHaber Patreon: https://www.patreon.com/user?u=320801... You Can also press the Thanks YouTube Dollar button The webpage tutorial accompanying this video: https://aleksandarhaber.com/calculate... In this numerical linear algebra tutorial, we explain how to calculate eigenvectors and eigenvalues of matrices by hand. We first provide basic definitions of eigenvalues and eigenvectors. Then, we define the concept of a characteristic polynomial. Then, we explain how to calculate eigenvectors and eigenvalues of a 3by3 matrix completely by hand. We explained that to compute the eigenvector one needs to solve a system of linear equations that had an infinite number of solutions. That is, the systems arising from eigenvector problems are underdetermined.