Numerical analysis course design

Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 140 Publisher: Zhejiang University Press Pub. Date :2009-2-1. This book centers around a basic knowledge of numerical analysis point. a detailed analysis of a set of eight curriculum topics. review by the relevant background knowledge. topic design analysis and implementation and experimental results are compared with Matlab. etc. for students to complete junior high numerical methods provide a reference. Contents: Chapter 1 Summary 1.1 Numerical Analysis course in practice the meaning of curriculum practice the basic requirements of the experiment 1.2 Chapter 2 Introduction 2.1 matlab matlab 2.2 Overview 2.3 numerical techniques commonly used basic commands in Chapter 3 Detailed Case 1: The basics of error of 3.1 Review 3.2 Design and Implementation of Title 3.3 3.4 matlab design analysis results Detailed Chapter 4 Case 2: N (newton) method for the nonlinear equations of the review the basics of the root 4.1 4.3 4.2 a design analysis and design experiments to achieve 4.4 matlab 5 Detailed Case Chapter 3: Solving Linear Equations 5.1 Basic knowledge of a design review 5.2 5.3 5.4 matlab design analysis and implementation results Detailed Chapter 6 Case 4: The power of the matrix eigenvalue method for the basic knowledge review 6.2 6.1 6.3 Design a design Analysis and Implementation of 6.4 matlab results in Chapter 7 Detailed case 5: Hermite (hermite) review the basics of interpolation 7.1 7.3 7.2 a design analysis and design experiments to achieve 7.4 matlab Detailed Chapter 8 Case 6: curve fitting 8.1 Basic knowledge of a design review 8.2 8.3 8.4 matlab design analysis and implementation results Detailed Chapter 9 Case 7: Review the basics of numerical integration 9.1 9.3 9.2 a design analysis and design experiments to achieve 9.4 matlab Detailed Chapter 10 Case 8: find the numerical solution of ordinary differential equations of Euler (euler) method is more basic knowledge review 10.1 10.3 10.2 a design to achieve 10.4 matlab design analysis and experimental results in Chapter 11 Exercise 11.1 Benjamin curriculum design (hamming) series of approximate 11.2 seeking to 11.3 algebraic polynomial given periodic tridiagonal matrix to solve equations 11.4 Jacobi (jacobi) and Gauss-Seidel iteration (gauss-seidel) 11.5 Comparison of inverse power iteration method for the matrix eigenvalue 11.6 times spline fitting orthogonal polynomials 11.7 11.8 Romberg (romberg) algorithm applied 11.9 Runge Kutta (runge-kutta) method for solving ordinary differential equations in Appendix ReferencesFour Satisfaction guaranteed,or money back.…