Numerical Methods for Chemical Engineers with MATLAB Applications with Cdrom

MATLAB语言 数值分析 数值积分 Fortran语言 非线性系统 数值微分 应用数学 计算机科学 高斯消去 插值(计算机图形学) 线性代数 高斯求积 特征向量 数学 算法 数学分析 积分方程 尼氏法 高斯分布 几何学 人工智能 运动(物理) 操作系统 物理 量子力学
作者
Alkis Constantinides,Navid Mostoufi
出处
期刊:Prentice Hall PTR eBooks [Prentice Hall PTR]
被引量:8
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From the Publisher: Master numerical methods using MATLAB, today's leading software for problem solving This complete guide to numerical methods in chemical engineering is the first to take full advantage of MATLAB's powerful calculation environment. Every chapter contains several examples using general MATLAB functions that implement the method and can also be applied to many other problems in the same category. The authors begin by introducing the solution of nonlinear equations using several standard approaches, including methods of successive substitution and linear interpolation; the Wegstein method, the Newton-Raphson method; the Eigenvalue method; and synthetic division algorithms. With these fundamentals in hand, they move on to simultaneous linear algebraic equations, covering matrix and vector operations; Cramer's rule; Gauss methods; the Jacobi method; and the characteristic-value problem. Additional coverage includes: Finite difference methods, and interpolation of equally and unequally spaced points Numerical differentiation and integration, including differentiation by backward, forward, and central finite differences; Newton-Cotes formulas; and the Gauss Quadrature Two detailed chapters on ordinary and partial differential equations Linear and nonlinear regression analyses, including least squares, estimated vector of parameters, method of steepest descent, Gauss-Newton method, Marquardt Method, Newton Method, and multiple nonlinear regression The numerical methods covered here represent virtually all of those commonly used by practicing chemical engineers. The focus on MATLAB enables readers to accomplish more, with less complexity, than was possiblewith traditional FORTRAN. For those unfamiliar with MATLAB, a brief introduction is provided as an Appendix. The accompanying CD-ROM contains MATLAB 5.0 (and higher) source code for more than 60 examples, methods, and function scripts covered in the book. These programs are compatible with all three operating systems: Windows(r), MacOS(r), and UNIX(r).
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