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Numerical Methods for Engineers and Scientists Using MATLAB

TLDR
This chapter discusses Numerical Solution of Partial Differential Equations, a method for estimating the Eigenvalue of a Single Variable Equations using Newton-Cotes Formulas.
Abstract
Background and Introduction Background Introduction to Numerical Methods Problem Set Introduction to MATLAB(R) MATLAB(R) Built-In Functions Vectors and Matrices User-Defined Functions and Script Files Program Flow Control Displaying Formatted Data Symbolic Toolbox Plotting Problem Set Solution of Equations of a Single Variable Numerical Solution of Equations Bisection Method Regula Falsi Method (Method of False Position) Fixed-Point Method Newton's Method (Newton-Raphson Method) Secant Method Equations with Several Roots Problem Set Solution of Systems of Equations Linear Systems of Equations Numerical Solution of Linear Systems Gauss Elimination Method LU Factorization Methods Iterative Solution of Linear Systems Ill-Conditioning and Error Analysis Systems of Nonlinear Equations Problem Set Curve Fitting (Approximation) and Interpolation Least-Squares Regression Linear Regression Linearization of Nonlinear Data Polynomial Regression Polynomial Interpolation Spline Interpolation Fourier Approximation and Interpolation Problem Set Numerical Differentiation and Integration Numerical Differentiation Finite-Difference Formulas for Numerical Differentiation Numerical Integration: Newton-Cotes Formulas Numerical Integration of Analytical Functions: Romberg Integration, Gaussian Quadrature Improper Integrals Problem Set Numerical Solution of Initial-Value Problems One-Step Methods Euler's Method Runge-Kutta Methods Multistep Methods Systems of Ordinary Differential Equations Stability Stiff Differential Equations MATLAB(R) Built-In Functions for Initial-Value Problems Problem Set Numerical Solution of Boundary-Value Problems Shooting Method Finite-Difference Method BVPs with Mixed Boundary Conditions MATLAB(R) Built-In Function bvp4c for BVPs Problem Set Matrix Eigenvalue Problem Power Method: Estimation of the Dominant Eigenvalue Deflation Methods Householder Tridiagonalization and QR Factorization Methods Problem Set Numerical Solution of Partial Differential Equations Introduction Elliptic PDEs Parabolic PDEs Hyperbolic PDEs Problem Set Bibliography Index

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Journal ArticleDOI

A comparison of piecewise cubic Hermite interpolating polynomials, cubic splines and piecewise linear functions for the approximation of projectile aerodynamics

C.A. Rabbath, +1 more
- 01 Oct 2019 - 
TL;DR: In this article, the authors compare piecewise Cubic Hermite Interpolating Polynomial (PCHIP), cubic splines, and piecewise linear functions to approximate the aerodynamic coefficients of a generic small arms projectile.
Journal ArticleDOI

Dynamic energy balance model of a glass greenhouse: An experimental validation and solar energy analysis

TL;DR: Wang et al. as discussed by the authors discussed an innovative dynamic energy balance model of a glass greenhouse, incorporating dynamic cover absorbance and transmittance, the solar radiation absorbed by the cover and the proportion of solar radiation transmitted into the glass greenhouse.
Journal ArticleDOI

3D Shape Sensing With Multicore Optical Fibers: Transformation Matrices Versus Frenet-Serret Equations for Real-Time Application

TL;DR: In this article, the authors compared the widely used Frenet-Serret equations with an algorithm based on the homogeneous transformation matrices that are normally used in robotics to express the position of a point in different frames, i.e. from local to global coordinates.
Journal ArticleDOI

A Versatile Method for Depth Data Error Estimation in RGB-D Sensors.

TL;DR: This method can be used to rapidly estimate the quality of RGB-D sensors, facilitating robotics applications as SLAM and object recognition, and compared to those estimated by state-of-the-art approaches, validating its accuracy and utility.