Udemy - Engineering Mathematics - Numerical Analysis and more

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[ CourseHulu.com ] Udemy - Engineering Mathematics - Numerical Analysis and more
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Introduction to Numerical analysis
    • 001 Newton Raphson Method.mp4 (243.4 MB)
    • 001 Newton Raphson Method_en.vtt (9.1 KB)
    • 002 Secant Method.mp4 (147.6 MB)
    • 002 Secant Method_en.vtt (5.2 KB)
    • 003 Bisection Method.mp4 (227.1 MB)
    • 003 Bisection Method_en.vtt (8.5 KB)
    • 004 Trapezoidal & SImson's 1_3 Rule.mp4 (382.6 MB)
    • 004 Trapezoidal & SImson's 1_3 Rule_en.vtt (13.4 KB)
    02 - Additional Bonus Lectures
    • 001 Order & Degree of differential equations.mp4 (127.5 MB)
    • 001 Order & Degree of differential equations_en.vtt (5.0 KB)
    • 002 CAYLEY Hamilton theorem - Matrices.mp4 (137.8 MB)
    • 002 CAYLEY Hamilton theorem - Matrices_en.vtt (4.8 KB)
    • 003 Laplace & Inverse Laplace.mp4 (203.6 MB)
    • 003 Laplace & Inverse Laplace_en.vtt (6.9 KB)
    • 004 BONUS Lecture.html (2.9 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Engineering Mathematics - Numerical Analysis & more



https://CourseHulu.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.43 GB | Duration: 1h 8m
Quick engineering math lectures.
What you'll learn
Good grasp over numerical analysis portion of engineering mathematics.
Newton Raphson method, Secant method, Bisection method, Trapezoidal & simpson's rule
Requirements
Basic engineering knowledge & Mathematics as one of the subjects in academics.
Basics of Integration & Differentiation.
Description
This course is focused upon engineering mathematics. After completing the tutorial, you will be able to understand the basic advantageous knowledge of numerical analysis techniques. Certain bonus lectures are also included.

This course is specifically designed for engineering students who suffers a lot of problems while dealing with numerical analysis. HAPPY LEARNING !!

Who this course is for:
Engineering graduates & undergraduates.
Higher education students.
Mathematics students and professionals.
Aspirants of GATE/IES/PSU's
Aspirants of competitive examinations.

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Udemy - Engineering Mathematics - Numerical Analysis and more


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1.4 GB
seeders:27
leechers:12
Udemy - Engineering Mathematics - Numerical Analysis and more


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