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Now showing items 31-40 of 42
3.3 - Newton Raphson & Secant Methods & How they compare
(6/21/18)
In this lesson you'll learn about the Newton Raphson and secant Techniques, how to develop a VBA code to implement these techniques to any desired approximate error and how the open methods compares to both bisection and ...
4.6 - LU Decomposition by generating Inverse A
(7/3/18)
In this lesson you'll learn about how to solve a system of equations using LU Decomposition by generating A inverse and how to develop a LU Decomposition A inverse VBA Code
3.1 - Bisection Method
(6/21/18)
In this lesson you'll learn about the different types of Root of Equations techniques, the bisection method and how to develop a VBA code to implement this technique to any desired approximate error.
6.2 - Polynomial Regression
(7/16/18)
In this lesson you'll learn about how to find the best fit line to a set of curved data points and how to develop a polynomial regression program. This in followed by a comparison to the results from Excel's inbuilt linear ...
4.2 - Addition, Multiplication & Transposition of Matrices
(6/28/18)
In this lesson you'll learn about addition, multiplication and transposition to two matrices in addition to what a Principle Diagonal, Principal anti-diagonal, identity and unit matrices
3.2 - False Position & How it Compares to Bisection Method
(6/21/18)
In this lesson you'll learn about the False Position method, how to develop a VBA code to implement this technique to any desired approximate error and how the False Position compares to the Bisection Method
2.3 - Taylor Series of Exp(3x) around 2
(6/18/18)
In this lesson you'll learn about how to develop a VBA code to approximate Exp(3x) around a = 2
1.7 - Area & Perimeter of a Square
(6/7/18)
In this lesson we'll use what we have learned previously to create a code to find which of 7 squares of different side length has magnitude of area equal to magnitude of perimeter
2.2 - Taylor Series & f'(x)
(6/15/18)
In this lesson you'll learn about how to approximate derivatives using Taylor Series
5.3 - 1D Optimization - Newton Raphson
(7/10/18)
In this lesson you'll learn about how to apply Newton Raphson Root finding Technique to find Minimum and Maximum of a 1D Function and how to adjust a Newton Raphson root finding code to find the optima of a function