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832 Min
This course format through pre-recorded video. You can buy and watch it to learn at any time.
Mastering "Numerical Methods - Engineering Mathematics" significantly enhances GATE exam prospects for aspiring engineers. It strengthens problem-solving skills, enabling accurate and efficient solutions to complex numerical problems. This expertise boosts confidence in tackling GATE's numerical and multiple-choice questions, particularly in papers like Mechanical Engineering, Electrical Engineering, Civil Engineering, and Aerospace Engineering. By mastering numerical methods, candidates can optimize their time management, accuracy, and scores, leading to improved GATE rankings and increased chances of admission to prestigious postgraduate programs or PSU recruitment.
This course is designed to equip students with the fundamental concepts and techniques of numerical methods, which are essential for solving engineering and scientific problems. The course focuses on both theoretical understanding and practical implementation of numerical algorithms. It is tailored to meet the requirements of GATE examinations in various engineering disciplines.
Roots of Algebraic Equations (29 min)
Descartes' Rule of Signs (22 min)
Bisection method & Regula - Falsi method (False Position Method) (22 min)
Newton Raphson Method (20 min)
Example (Bisection Method & Regula Falsi Method) (30 min)
Example (Newton Raphson Method) (26 min)
Example (Newton Raphson Method) (21 min)
Previous Year Example-I (20 min)
Previous Year Example-II (24 min)
Finite Differences (34 min)
Backward Differences (42 min)
Newton Gregory formula for interpolation using backward differences (27 min)
Gental Differences (14 min)
Gaussian & Sterling’s interpolation formulae (65 min)
Numerical Integration (62 min)
Simpson 1/3rd rule and 3/8th rule (58 min)
Gauss Siedel Method (50 min)
Example (28 min)
Euler method (44 min)
Runge Kutta method (54 min)
Error Analysis Method in Numerical Method (44 min)
Basic Error Principle (53 min)
Convergence of Newton Method (44 min)
The Graduate Aptitude Test in Engineering (GATE) is a competitive examination in India for students seeking admission to postgraduate programs in various engineering and science disciplines. Numerical Methods may be a part of the syllabus for certain GATE papers, such as Computer Science and Engineering, Mechanical Engineering, Civil Engineering, and others, depending on the specific paper's syllabus.
Industry domains :
Aerospace , Automotive
Engineering Disciplines :
Mechanical
1
Roots of Algebraic Equations :
lec-01
2
Bisection Method & Regula Falsi Method :
lec-03
3
Example-(Bisection Method & Regula Falsi Method) :
lec-05
Students
Eng
Founder
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Aerospace engineering stu...
Student
Engineering
Reliability engineer