False Position Method with MATLAB | @MATLABHelper Numerical Methods

Discussion on False position method with explanation and implementation in MATLAB. We find out the range in which the function lies. We calculate values of y according to the formula and observe the significant changes. We further go on subdividing the range and finally get our root with this Bracketing Method. Read this & adjoining lesson at https://matlabhelper.com/course/numericalmethods-c2l4-false-position-method/ for codes & explanation. 0:00 Introduction 0:08 Understanding false position method 1:42 MATLAB code to implement false position method A numerical method is a tool that deals with the mathematical model to give a valid statistical or graphical result. MATLAB Helper provides this premium online course covering topics like #Error Analysis, Bracketing methods, #Root Finding Methods, #Optimization, #Tridiagonal systems, #LU factorization, #Cholesky factorization, #Gauss-Sidel method, #Eigenvalues, #Eigenvectors, etc. with MATLAB coding. Book our premium online course at https://mlhp.link/NumericalMethods & get access to MATLAB codes of course videos with an explanation. You will also get an e-Certificate on completion of the course quiz. Want to see more #NumericalMethods videos? Watch playlist: https://www.youtube.com/playlist?list=PLmyWlxlLCcz_qvuLOJp9azJgIZEWClTbY If you found value in this video, be sure to show your support by giving it a like, leaving a thoughtful comment, and sharing it with others. And don't forget to subscribe to our channel for more helpful content. If you need expert assistance, check out our paid services on our website at https://mlhp.link/services. We offer live sessions and offline work on MATLAB and Simulink projects, including homework, assignments, theses, and research. We also provide existing codes, models, along with report and necessary attachments for selected content at https://matlabhelper.com/shop/learning-portal-resources at a reasonable cost. Take your MATLAB skills to the next level by joining one of our training modules, such as MATLAB Associate, MATLAB Professional, Simulink Fundamental, Image Processing, Arduino Interfacing, App Designer, or Machine Learning. Our classes are taught by Mathworks certified experts. Find more information on our training syllabus and proposal at https://mlhp.link/training. For additional learning opportunities, visit our learning portal at https://mlhp.link/lms to access self-paced online courses, quizzes, contests, webinars, and more. You can also reach out to us via WhatsApp at +91-8104622179 or https://mlhp.link/WhatsApp. Keep up to date with the latest updates and helpful tips by following us on LinkedIn (https://mlhp.link/LinCompany), Facebook (https://mlhp.link/facebook), and Instagram (https://mlhp.link/instagram). Education is our future. MATLAB is our feature. Happy MATLABing! #ExpertHelp #MATLAB #Simulink #Research #Training #Mathworks #MathworksCertified #MATLABAssociate #ImageProcessing #Arduino #AppDesigner #MachineLearning #LMS #OnlineCourse #Quiz #Webinar #WhatsApp #LinkedIn #Facebook #Instagram #Education #Future #MATLABing