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Azeem Aftab
ITM - Ex 5.3 - Additional Problems
ITM - 5.2 problems
NC - Programming session - Implementation
NC - Programming session - MATLAB/OCTAVE online Intro
NC - Programming session - Motivation
Numerical Computing - Unit 4.5 - Fixed Point Iteration Method - Approximating Roots
Numerical Computing - Unit 4.4 - Fixed Point Iteration Method - checking convergence
Numerical Computing - Unit 4.3 - Fixed Point Iteration Method - How it works
Numerical Computing - Unit 4.2 - Newton-Raphson Method - Solved Example
Numerical Computing - Unit 4.1 - Newton-Raphson Method - How it works
Numerical Computing - Unit 3.4 - Secant Method - Applications
Numerical Computing - Unit 3.3 - Secant Method - Solved Example 1
Numerical Computing - Unit 3.2 - Secant Method - How it works
Numerical Computing - Unit 3.1 - Secant Method - Motivation
ITM - Unit 3.4 - Slope-Intercept form of linear equation, using slope-point form and 2 point formula
ITM - Unit 3.3 - Plotting a linear equation Slope of Line, x-intercept and y-intercept
Numerical Computing - Unit 2.4 - Regula-Falsi Method - Solved Example
Numerical Computing - Unit 2.3 - Regula-Falsi Method - How it works
Numerical Computing - Unit 2.2 - Bisection Method - Solved Example
Numerical Computing - Unit 2.1 - Bisection Method - How it works
ITM - Unit 2.4 - Solving Second Degree Inequalities
ITM - Unit 2.3 - Solving First Degree Inequalities
ITM - Unit 2.2 - Solution of Quadratic Equations in One Variable
ITM - Unit 2.1 - Solution of Linear Equations in One Variable
Unit 1.4 - Root Finding Techniques - Numerical Computing
Unit 1.3 - Error Analysis - Numerical Computing
Unit 1.2 - Overview of Numerical Computing Course
Unit 1.1 - Why Numerical Computing
Unit 1.2 - Ratio and Proportion
Unit 1.1 - BODMAS, LCM, HCF