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Advanced Numerical Analysis

890 Learners

Advanced Numerical Analysis

Validity Unlimited Advanced Numerical Analysis All Level Advanced Numerical Analysis English

0.0 (0)
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

  • Advanced Numerical Analysis Total 1 Module
  • Advanced Numerical Analysis 49 Videos
  • Advanced Numerical Analysis Downloadable on mobile
  • Advanced Numerical Analysis Published on 28 June, 2019

Course Curriculum

Advanced Numerical Analysis

Advanced Numerical Analysis
  • <?php echo $alt; ?>

    Lecture 1: Introduction and Overview

    1h 93 min <?php echo $alt; ?>
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    Lecture -2 Fundamentals of Vector Spaces?

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

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    Lecture 4 : Introduction to Normed Vector Spaces

    48m <?php echo $alt; ?>
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    Lecture 5 : Examples of Norms,Cauchy Sequence and Convergence, Introduction to Banach Spaces

    37m <?php echo $alt; ?>
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    Lecture 6 : Introduction to Inner Product Spaces?

    53m <?php echo $alt; ?>
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    Lecture 7 : Cauchy Schwaz Inequality and Orthogonal Sets

    43m <?php echo $alt; ?>
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    Lecture 8 : Gram-Schmidt Process and Generation of Orthogonal Sets?

    43m <?php echo $alt; ?>
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    Lecture 9 : Problem Discretization Using Appropriation Theory?

    52m <?php echo $alt; ?>
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    Lecture 10 : Weierstrass Theorem and Polynomial Approximation?

    37m <?php echo $alt; ?>
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    Lecture 11 : Taylor Series Approximation and Newton's Method?

    47m <?php echo $alt; ?>
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    Lecture 12 : Solving ODE - BVPs Using Firute Difference Method?

    46m <?php echo $alt; ?>
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    Lecture 13 :Solving ODE - BVPs and PDEs Using Finite Difference Method?

    48m <?php echo $alt; ?>
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    Lecture 14 : Finite Difference Method (contd.) and Polynomial Interpolations

    48m <?php echo $alt; ?>
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    Lecture 15 : Polynomial and Function Interpolations

    34m <?php echo $alt; ?>
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    Lecture 16 : Orthogonal Collocations Method for Solving ODE - BVPs and PDEs

    1h 63 min <?php echo $alt; ?>
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    Lecture 17 :Least Square Approximations

    50m <?php echo $alt; ?>
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    Lecture 18 : Least Square Approximations?

    55m <?php echo $alt; ?>
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    Lecture 19 :Linear Least Square Estimation and Geometric Interpretation of the Least Square Solution

    48m <?php echo $alt; ?>
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    Lecture 20 : Geometric Interpretation of the Least Square Solution

    48m <?php echo $alt; ?>
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    Lecture 21 : Projection Theorem in a Hilbert Spaces

    53m <?php echo $alt; ?>
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    Lecture 22 :Discretization of ODE-BVP using Least Square Approximation

    52m <?php echo $alt; ?>
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    Lecture 23 : Discretization of ODE-BVP using Least Square Approximation and Gelarkin Method

    49m <?php echo $alt; ?>
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    Lecture 24 : Model Parameter Estimation using Gauss-Newton Method

    52m <?php echo $alt; ?>
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    Lecture 25 : Solving Linear Algebraic Equations and Methods of Sparse Linear Systems

    53m <?php echo $alt; ?>
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    Lecture 26 : Methods of Sparse Linear Systems

    48m <?php echo $alt; ?>
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    Lecture 27 : Iterative Methods for Solving Linear Algebraic Equations

    52m <?php echo $alt; ?>
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    Lecture 28 : Iterative Methods for Solving Linear Algebraic Equations

    56m <?php echo $alt; ?>
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    Lecture 29 :Iterative Methods for Solving Linear Algebraic Equations

    58m <?php echo $alt; ?>
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    Lecture 30 : Iterative Methods for Solving Linear Algebraic Equations

    46m <?php echo $alt; ?>
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    Lecture 31 : Iterative Methods for Solving Linear Algebraic Equations

    46m <?php echo $alt; ?>
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    Lecture 32 :Optimization Based Methods for Solving Linear Algebraic Equations

    48m <?php echo $alt; ?>
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    Lecture 33 : Conjugate Gradient Method Matrix Conditioning

    40m <?php echo $alt; ?>
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    Lecture 34 : Matrix Conditioning and Solutions and Linear Algebraic Equations

    54m <?php echo $alt; ?>
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    Lecture 35 : Matrix Conditioning and Solving Nonlinear Algebraic Equations

    53m <?php echo $alt; ?>
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    Lecture 36 : Solving Nonlinear Algebraic Equations

    35m <?php echo $alt; ?>
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    Lecture 37 : Solving Nonlinear Algebraic Equations

    48m <?php echo $alt; ?>
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    Lecture 38 : Solving Nonlinear Algebraic Equations

    56m <?php echo $alt; ?>
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    Lecture 39 : Solving Nonlinear Algebraic Equations Introduction to Convergence analysis

    56m <?php echo $alt; ?>
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    Lecture 40 :Solving Ordinary Differential Equations Initial Value Problems

    57m <?php echo $alt; ?>
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    Lecture 41 :Solving Ordinary Differential Equations Initial Value Problems?

    59m <?php echo $alt; ?>
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    Lecture 42 :Solving ODE-IVPs Runge Kutta Methods

    55m <?php echo $alt; ?>
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    Lecture 43 :Solving ODE-IVPs Generalized Formulation of Multi-step Methods

    55m <?php echo $alt; ?>
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    Lecture 44 : Solving ODE-IVPs Multi-step Methods and Orthogonal Collocations Method

    52m <?php echo $alt; ?>
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    Lecture 45 : Solving ODE-IVPs Selection of Integration Interval?

    51m <?php echo $alt; ?>
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    Lecture 46 : Solving ODE-IVPs Convergence Analysis of Solution Schemes

    47m <?php echo $alt; ?>
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    Lecture 47 :Solving ODE-IVPs Convergence Analysis of Solution Schemes

    57m <?php echo $alt; ?>
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    Lecture 48 : Methods for Solving System of Differential Algebraic Equations

    48m <?php echo $alt; ?>
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    Lecture 49 : Methods for Solving System of Differential Algebraic Equations

    56m <?php echo $alt; ?>

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