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 False position methodsThis file is part of a series of video lectures for Dr. Siddharth Misra’s class, Numerical Methods for Engineering Computation, at the University of Oklahoma. The video series demonstrates how to develop numerical methods using C++, Python, and MATLAB and shows the codes and methods being developed from the scratch. Students are encouraged to develop their own codes along with the videos. The series is numbered as follows:1.1 – 1.82.1 – 2.33.1 – 3.74.1 – 4.75.1 – 5.56.1 – 6.47.1 – 7.58.1 – 8.4N
For developing web-based resources for an undergraduate course in Numerical Methods, four computatio...
The numerical method is a technique used to formulate mathematical problems so that it can be solved...
The numerical method is a technique used to formulate mathematical problems so that it can be solved...
In this lesson you'll learn about the Modified Newton Raphson Method to deal with Multiple Roots and...
In this lesson you'll learn about how to solve a system of equations using gauss elimination with Pa...
In this lesson you'll learn an additional example on the application of Euler's Methods using Newton...
In this lesson you'll learn about addition, multiplication and transposition to two matrices in addi...
In this lesson you'll learn about the different types of Root of Equations techniques, the bisection...
Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as...
This book systematically classifies the mathematical formalisms of computational models that are req...
ABSTRACT: A major challenge in teaching numerical methods to engineering students is to provide stim...
In this lesson you'll learn about the False Position method, how to develop a VBA code to implement ...
An introduction to the Newton-Raphson method for finding a numerical solution of f(x) = 0, explainin...
Introduction to numerical methods used in the sciences and engineering. Included will be methods for...
In this lesson you'll learn about how to apply the gradient decent/ascent method to find optimum min...
For developing web-based resources for an undergraduate course in Numerical Methods, four computatio...
The numerical method is a technique used to formulate mathematical problems so that it can be solved...
The numerical method is a technique used to formulate mathematical problems so that it can be solved...
In this lesson you'll learn about the Modified Newton Raphson Method to deal with Multiple Roots and...
In this lesson you'll learn about how to solve a system of equations using gauss elimination with Pa...
In this lesson you'll learn an additional example on the application of Euler's Methods using Newton...
In this lesson you'll learn about addition, multiplication and transposition to two matrices in addi...
In this lesson you'll learn about the different types of Root of Equations techniques, the bisection...
Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as...
This book systematically classifies the mathematical formalisms of computational models that are req...
ABSTRACT: A major challenge in teaching numerical methods to engineering students is to provide stim...
In this lesson you'll learn about the False Position method, how to develop a VBA code to implement ...
An introduction to the Newton-Raphson method for finding a numerical solution of f(x) = 0, explainin...
Introduction to numerical methods used in the sciences and engineering. Included will be methods for...
In this lesson you'll learn about how to apply the gradient decent/ascent method to find optimum min...
For developing web-based resources for an undergraduate course in Numerical Methods, four computatio...
The numerical method is a technique used to formulate mathematical problems so that it can be solved...
The numerical method is a technique used to formulate mathematical problems so that it can be solved...