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{ "item_title" : "Applied Numerical Methods", "item_author" : [" P. Amaleswari", "B. Krishna Veni", "P. Bharath Kumar "], "item_description" : "1. Algebraic and Transcendental Equations Overview: This section introduces methods for solving algebraic and transcendental equations.Key Topics: Iteration, Secant, Newton-Raphson, and Regula-Falsi Methods: Methods for iterative solutions.Error Analysis: Discusses errors in numerical calculations.Bisection Method: A root-finding method for continuous functions.2. System of Linear Equations and Eigenvalue Problems Overview: Focuses on solving systems of linear equations and eigenvalue problems.Key Topics: Solving Linear Equations: Gauss-Seidel iteration and LU-Decomposition.Special Matrices: Tridiagonal systems and the Thomas algorithm.Eigenvalue/Eigenvector Computation: Jacobi and Power methods for eigenvalues.3. Interpolation Overview: Explains interpolation techniques for estimating unknown values.Key Topics: Newton's Interpolation: Forward and backward interpolation formulas.Other Formulas: Central difference, Lagrange, and divided difference formulas.Spline Interpolation: Linear and cubic spline methods.4. Numerical Differentiation and Integration Overview: Covers techniques for differentiation and integration of tabulated functions.Key Topics: Numerical Differentiation: Derivatives from discrete data.Numerical Integration: Newton-Cotes, Romberg's method, and Gaussian integer methods.5. Numerical Solution of Ordinary Differential Equations Overview: Methods for solving ODEs numerically.Key Topics: Runge-Kutta Methods: For initial value problems.Predictor-Corrector Methods: Including Adams-Bashforth-Moulton.Gaussian Quadrature: For integral approximation within ODE solutions.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/834/547/9798345471111_b.jpg", "price_data" : { "retail_price" : "20.00", "online_price" : "20.00", "our_price" : "20.00", "club_price" : "20.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Applied Numerical Methods|P. Amaleswari

Applied Numerical Methods : An Introduction

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Overview

1. Algebraic and Transcendental Equations

  • Overview: This section introduces methods for solving algebraic and transcendental equations.
  • Key Topics:
    • Iteration, Secant, Newton-Raphson, and Regula-Falsi Methods: Methods for iterative solutions.
    • Error Analysis: Discusses errors in numerical calculations.
    • Bisection Method: A root-finding method for continuous functions.
2. System of Linear Equations and Eigenvalue Problems
  • Overview: Focuses on solving systems of linear equations and eigenvalue problems.
  • Key Topics:
    • Solving Linear Equations: Gauss-Seidel iteration and LU-Decomposition.
    • Special Matrices: Tridiagonal systems and the Thomas algorithm.
    • Eigenvalue/Eigenvector Computation: Jacobi and Power methods for eigenvalues.
3. Interpolation
  • Overview: Explains interpolation techniques for estimating unknown values.
  • Key Topics:
    • Newton's Interpolation: Forward and backward interpolation formulas.
    • Other Formulas: Central difference, Lagrange, and divided difference formulas.
    • Spline Interpolation: Linear and cubic spline methods.
4. Numerical Differentiation and Integration
  • Overview: Covers techniques for differentiation and integration of tabulated functions.
  • Key Topics:
    • Numerical Differentiation: Derivatives from discrete data.
    • Numerical Integration: Newton-Cotes, Romberg's method, and Gaussian integer methods.
5. Numerical Solution of Ordinary Differential Equations
  • Overview: Methods for solving ODEs numerically.
  • Key Topics:
    • Runge-Kutta Methods: For initial value problems.
    • Predictor-Corrector Methods: Including Adams-Bashforth-Moulton.
    • Gaussian Quadrature: For integral approximation within ODE solutions.

This item is Non-Returnable

Details

  • ISBN-13: 9798345471111
  • ISBN-10: 9798345471111
  • Publisher: Independently Published
  • Publish Date: November 2024
  • Dimensions: 10 x 7 x 0.67 inches
  • Shipping Weight: 1.22 pounds
  • Page Count: 318

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