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Engineering Dynasty @UCFrHc-wAVE2cGlY-6jTuI4w@youtube.com

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This Channel Brings Important Content Related to STEM (Scien


17:58
Bearing Capacity of a Shallow Foundation Using ABAQUS
28:00
Static Analysis of a Truss Using Abaqus
42:00
waves in horizontal layered half-space
36:22
Basic equations of elastic elastodynamic
13:36
Let X0=1, X2=4, X3=9, find the interpolation polynomial p(x) for the function y= √x in [1,9]
09:20
For the following data, find the least square approximation y=a+bx | Interpolation and Approximation
10:32
f(-2)=-5 f(-1)=-2 f(0)=3 f(1)=10 f(2)=19 f(3)=30. Find the interpolation polynomial p(x) for f(x)
11:38
Compute the integral by the trapezoidal rule and the Simpson's rule
09:09
Find the quadratic Lagrange interpolating polynomial p(x) an approximate f(1.5) using p(x)
19:22
Compute the integral by the trapezoidal rule and the Simpson's rule respectively.
26:06
Find root of x=e^(-x) near x=0.5 Such that the absolute error is less than | Simple Iterative Scheme
18:59
Can the Jacobi or the G-S method converge?
05:59
Use Newton's method & Modified Newton's mtd, Find the numerical approximation to the double root √2
27:31
Example on Iterative techniques for solving linear systems
09:07
How is the error of the solution x for Ax=b affected by A and b? | Norms of Vectors and Matrices
14:11
Let A=(1 0 0, 0 2 4, 0 -2 4), determine ||A||1, ||A||∞, ||A||2, p(A). Norms of Vectors and Matrices
05:02
Example 2 on Norms of Vectors and Matrices
07:40
Example on Norms of Vectors and Matrices
05:16
Find L1, L2, L0, norms of the vector x=(-1, 2, 4)^T | Norms and Vectors
20:11
Example on LU factorization with Partial Pivoting
41:45
Use Gaussian elimination to solve Ax=b | Gaussian elimination and matrix LU factorization
20:25
Which matrix has an LU factorization? and unique? Gaussian elimination and matrix LU factorization
33:36
Example. Round off error stability. Compute the integrals, 0 to 1 of x^/(x+5)dx, n=0,1,2,...,7.
03:56
Sparse matrix A, write its compression representation Triple & Orthogonal list
07:35
Compute the integrals, 0 to 1 of x^/(x+5)dx, n=0,1,2,...,7. Round off error stability
05:31
Example 8: error analysis for function value. Use five-digit arithmetic to compute x=63015 +...
06:12
Draw the Huffman Tree & design huffman codes for each character & calculate its WPL
05:31
Roots of x^2 - 16x + 1 = 0 are x1 = 8 + √ 63, x2 = 8 - √ 63. Use three-digit arithmetic, √ 63 β‰ˆ 7.94
04:40
Transform the following forest to a binary tree
13:35
The digits of a1 a2 a3 are significant digits. Find the bound of the relative error of a1 + a2.a3.
05:00
Draw the binary tree and write its post order & level order traversal sequences
02:25
Norms of Vectors and Matrices
07:22
The bound of the absolute error for the numbers is 0.005, find the significant digits of each number
04:56
A weighted undirected graph, using Prim & Kruskal algorithm to construct its MST
09:24
Adjacency list representation for an undirected graph, perform DFS & BFS algorithm, spanning tree
11:57
Straight insertion sort, bubble sort, simple selection sort, heap sort, 2 way merge sort, radix, qui
11:43
Draw a Hash Table with linear probing, quadratic probing and separate probing
04:02
Perform a binary search, Draw the decisions tree, Calculate ASL with equal searching probability
07:22
Example 6: Find the significant digits of each number. Error analysis
07:27
STEP BY STEP: How to book an appointment?- Schengen Visa [Belgium ]
06:51
Example 5: Suppose that a is an approximation to x. Find its significant digits. Error analysis
05:28
Example 4: Find relative error and absolute error - Error analysis
02:24
Example 3: Find the bounds for the absolute and relative errors
15:19
Example 2: What is an efficient algorithm? Error analysis and round-off error stability
34:23
Example 1: Find the path of each snail | Error analysis and round off error stability
01:01:54
4.4 Applications of Interpolation | Interpolation and Approximation
01:10:44
4.3 Discrete Least Squares Approximation | Interpolation and Approximation
39:58
4.4 Applications of Interpolation - part 2 | Interpolation and Approximation
45:33
4.4 Applications of Interpolation - part 3 | Interpolation and Approximation
01:05:40
4.2.2 Newton Interpolation Formula - part 1 - Lagrange Interpolation
47:32
4.2.3 Remainder term of interpolation - Lagrange Interpolation
46:20
4.2.2 Newton Interpolation Formula - part 2 - Lagrange Interpolation
26:51
4.2.5 Piecewise interpolation by low degree polynomials - Lagrange Interpolation
55:10
4.2.1 Lagrange Interpolating Polynomials - Lagrange Interpolation
24:05
4.2.4 Hermite Interpolation - Lagrange Interpolation
34:18
4.1 Interpolation problem - Interpolation and Approximation
01:23:52
3.1.2 Convergence of iterative schemes - Iterative techniques for solving linear systems
57:09
3.2.1 Iterative techniques for solving nonlinear equations - Simple iterative schemes - part 2
01:00:18
3.2.2 Newton’s method ant its deformations - Iterative techniques for solving nonlinear equations
51:54
2.5 Norms of Vectors and Matrices - part 5