filmov
tv
🟢01b - Systems of Linear Equations using Naive Gaussian Elimination - Example 2
Показать описание
In this lesson we are going to start a new course, i.e Numerical Analysis.
Specifically in this lesson, we shall learn how to solve a system of n linear equations with n unknowns using Naive Gaussian Elimination.
We shall discuss the solution process and solve one example.
Steps Involved
1. Forward elimination of unknowns
2. Back substitution
00:00 - Example 2
Playlists on various Course
1. Applied Electricity
2. Linear Algebra / Math 151
3. Basic Mechanics
4. Calculus with Analysis / Calculus 1 / Math 152
5. Differential Equations / Math 251
6. Electric Circuit Theory / Circuit Design
7. Calculus with Several Variables
8. Numerical Analysis
Make sure to watch till the end.
Like, share, and subscribe.
Thank you.
Specifically in this lesson, we shall learn how to solve a system of n linear equations with n unknowns using Naive Gaussian Elimination.
We shall discuss the solution process and solve one example.
Steps Involved
1. Forward elimination of unknowns
2. Back substitution
00:00 - Example 2
Playlists on various Course
1. Applied Electricity
2. Linear Algebra / Math 151
3. Basic Mechanics
4. Calculus with Analysis / Calculus 1 / Math 152
5. Differential Equations / Math 251
6. Electric Circuit Theory / Circuit Design
7. Calculus with Several Variables
8. Numerical Analysis
Make sure to watch till the end.
Like, share, and subscribe.
Thank you.
0:16:05
🟢01b - Systems of Linear Equations using Naive Gaussian Elimination - Example 2
0:05:14
M111-02-01B Slopes
0:18:55
🟢01a - Intro to Naive Gaussian Elimination - Example 1
0:17:54
Ch07_Lesson07-01b
0:11:15
🟢01c - Systems of Linear Equations using Naive Gaussian Elimination - Example 3
0:18:31
Solving linear systems (2 of 9: Naïve Gaussian Elimination)
0:15:31
4-01B Reciprocal Function
0:12:23
Axiomatic System, 01b
0:03:29
MTED301 CWHW14bPortrait Posted Introduction 220504 01b
0:08:31
Why {1,x,x²} Is a Terrible Basis
0:02:30
01b FIRST PRINCIPLES --- Q5b TEST 1 PRACTICE
0:24:53
Lecture 01B - Definition of Matrix, Notation and Augmented Matrix
0:07:45
M111-03-01B Writing Quadratic Function from Graph
0:03:29
M111-02-01A Linear Equation Definitions
0:01:15
Inverse Transformation (Lecture #01b exercise of a course on Relativity & Cosmology)
0:01:21
MTED301 CWHW13Portrait Posted AnswerIC 220504 01b
0:04:40
MBF3C 6-01b
0:07:16
Obj 01B increasing Decreasing Extra Practice
0:08:02
Unit 4 01b Graphing Key Features
0:25:46
Parametric Curves, 01b
0:00:36
Wall lamp FOCUS S (C068WL-01B) | Promo
0:00:36
Ceiling light FOCUS S (C052CL-01B) | Promo
0:06:57
4-1: Min and Max Values, 01b
0:12:28
NCS - 01a - Why Nonlinear Control
Комментарии