Advanced Numerical Analysis - Study24x7
Social learning Network
study24x7

Default error msg

Login

New to Study24x7 ? Join Now
Already have an account? Login
googlePlay app_img
Advanced Numerical Analysis
broucher Course Brochure
Advanced Numerical Analysis
by Prof.Sachin C.Patwardhan

The process of developing a numerical recipe for solving an engineering problem Introduce geometric ideas associated with the development of numerical schemes Familiarize the student with ideas of convergence analysis of numerical methods and other analytical aspects associated with numerical computation...

0.0  (0 Ratings) 890 Learner
validy img Validity Unlimited
level All Level
level English
cover Img Preview not available
Program Fee
FREE
About This Course

The process of developing a numerical recipe for solving an engineering problem Introduce geometric ideas associated with the development of numerical schemes Familiarize the student with ideas of convergence analysis of numerical methods and other analytical aspects associated with numerical computation...

Course Curriculum
1 Sections | 49 Lecture | 41h 42min total length
Expand all sections
Advanced Numerical Analysis

Advanced Numerical Analysis

| 41h 42min total length
  • <?php echo $alt; ?>

    Lecture 1: Introduction and Overview

    1h 93 min <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture -2 Fundamentals of Vector Spaces?

    46m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 3 : Basic Dimension and Sub-space of a Vector Space

    48m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 4 : Introduction to Normed Vector Spaces

    48m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 5 : Examples of Norms,Cauchy Sequence and Convergence, Introduction to Banach Spaces

    37m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 6 : Introduction to Inner Product Spaces?

    53m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 7 : Cauchy Schwaz Inequality and Orthogonal Sets

    43m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 8 : Gram-Schmidt Process and Generation of Orthogonal Sets?

    43m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 9 : Problem Discretization Using Appropriation Theory?

    52m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 10 : Weierstrass Theorem and Polynomial Approximation?

    37m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 11 : Taylor Series Approximation and Newton's Method?

    47m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 12 : Solving ODE - BVPs Using Firute Difference Method?

    46m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 13 :Solving ODE - BVPs and PDEs Using Finite Difference Method?

    48m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 14 : Finite Difference Method (contd.) and Polynomial Interpolations

    48m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 15 : Polynomial and Function Interpolations

    34m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 16 : Orthogonal Collocations Method for Solving ODE - BVPs and PDEs

    1h 63 min <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 17 :Least Square Approximations

    50m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 18 : Least Square Approximations?

    55m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 19 :Linear Least Square Estimation and Geometric Interpretation of the Least Square Solution

    48m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 20 : Geometric Interpretation of the Least Square Solution

    48m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 21 : Projection Theorem in a Hilbert Spaces

    53m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 22 :Discretization of ODE-BVP using Least Square Approximation

    52m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 23 : Discretization of ODE-BVP using Least Square Approximation and Gelarkin Method

    49m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 24 : Model Parameter Estimation using Gauss-Newton Method

    52m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 25 : Solving Linear Algebraic Equations and Methods of Sparse Linear Systems

    53m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 26 : Methods of Sparse Linear Systems

    48m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 27 : Iterative Methods for Solving Linear Algebraic Equations

    52m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 28 : Iterative Methods for Solving Linear Algebraic Equations

    56m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 29 :Iterative Methods for Solving Linear Algebraic Equations

    58m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 30 : Iterative Methods for Solving Linear Algebraic Equations

    46m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 31 : Iterative Methods for Solving Linear Algebraic Equations

    46m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 32 :Optimization Based Methods for Solving Linear Algebraic Equations

    48m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 33 : Conjugate Gradient Method Matrix Conditioning

    40m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 34 : Matrix Conditioning and Solutions and Linear Algebraic Equations

    54m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 35 : Matrix Conditioning and Solving Nonlinear Algebraic Equations

    53m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 36 : Solving Nonlinear Algebraic Equations

    35m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 37 : Solving Nonlinear Algebraic Equations

    48m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 38 : Solving Nonlinear Algebraic Equations

    56m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 39 : Solving Nonlinear Algebraic Equations Introduction to Convergence analysis

    56m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 40 :Solving Ordinary Differential Equations Initial Value Problems

    57m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 41 :Solving Ordinary Differential Equations Initial Value Problems?

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 42 :Solving ODE-IVPs Runge Kutta Methods

    55m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 43 :Solving ODE-IVPs Generalized Formulation of Multi-step Methods

    55m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 44 : Solving ODE-IVPs Multi-step Methods and Orthogonal Collocations Method

    52m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 45 : Solving ODE-IVPs Selection of Integration Interval?

    51m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 46 : Solving ODE-IVPs Convergence Analysis of Solution Schemes

    47m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 47 :Solving ODE-IVPs Convergence Analysis of Solution Schemes

    57m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 48 : Methods for Solving System of Differential Algebraic Equations

    48m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Lecture 49 : Methods for Solving System of Differential Algebraic Equations

    56m <?php echo $alt; ?>
More Courses by Prof.Sachin C.Patwardhan

Advanced Process Control

by Prof.Sachin C.Patwardhan
0.0 (0)

1 Enrollments

Validity Unlimited

Free