Browsing OU - OER - Ancillary Materials by Title
Now showing items 7-26 of 46
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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 -
1.8 - Inbuilt Functions
(6/12/18)In this lesson you'll learn about some the most useful and common EXCEL/VBA inbuilt functions used in numerical methods -
2.1 - Taylor Series & Exp(x)
(6/15/18)In this lesson you'll learn about what Taylor Series are and how to approximate the Exp(x) function using Taylor Series -
2.2 - Taylor Series & f'(x)
(6/15/18)In this lesson you'll learn about how to approximate derivatives using Taylor Series -
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 -
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. -
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 -
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 ... -
3.4 - Newton Raphson using different guesses
(6/26/18)In this lesson you'll learn about the effect of using different educated guesses on the output root of the function -
3.5 - Multiple Roots
(6/28/19)In this lesson you'll learn about the Modified Newton Raphson Method to deal with Multiple Roots and How to develop a VBA code to implement this technique to any desired approximate error. -
3.6 - Right Circular Cone
(6/27/18)In this lesson you'll learn about how to apply the Newton Raphson Technique to find the root of a 2D right circular cone function. -
3.7 - Goal Seek and Solver
(7/6/18)In this lesson you'll learn about how to use Excel's inbuilt root finding functions–goal seek for simple 1D function and Solver for multivariable functions. -
4.1 - Vectors, Matrices & Arrays
(6/26/18)In this lesson you'll learn about what an array is and the difference between a vector and a matrix. You’ll then create a vector to store ten elements and display it back onto an Excel sheet. Finally, you’ll learn to create ... -
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 -
4.3 - Gauss Elimination with Partial Pivoting
(7/5/18)In this lesson you'll learn about how to solve a system of equations using gauss elimination with Partial Pivoting and how to develop a gauss elimination with Partial Pivoting VBA Code -
4.4 - Gauss Jordan
(7/4/18)In this lesson you'll learn about how to solve a system of equations using gauss Jordan and how to develop a gauss Jordan VBA Code. -
4.5 - LU Decomposition
(7/2/18)In this lesson you'll learn about how to solve a system of equations using LU Decomposition and how to develop a LU Decomposition VBA Code -
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 -
4.7 - Debugging a Multiplication Code
(7/4/18)In this lesson you'll learn about the common debugging issues that arise when programming numerical methods and how to best solve them and avoid them in the future. -
5.1 - Introduction to Optimization & Analytical Sol.
(7/9/18)In this lesson you'll learn about optimization, minimums, maximums, and a saddle. You’ll learn the difference between a local and global optima, the Second Derivative Test, contour lines, and how to graph a 2D function in Excel.