By Cleve B. Moler
Numerical Computing with MATLAB is a full of life textbook for an introductory direction in numerical tools, MATLAB, and technical computing. The emphasis is at the knowledgeable use of mathematical software program; particularly, the presentation is helping readers examine sufficient in regards to the mathematical features in MATLAB to exploit them safely, take pleasure in their boundaries, and adjust them effectively. The e-book makes huge use of special effects, together with interactive graphical expositions of numerical algorithms. It offers greater than 70 M-files, which are downloaded from the internet. a number of the greater than two hundred workouts contain enhancing and lengthening those courses.
the subjects coated comprise an advent to MATLAB; linear equations; interpolation; zeros and roots; least squares; quadrature; traditional differential equations; Fourier research; random numbers; eigenvalues and singular values; and partial differential equations. Motivating functions comprise sleek difficulties from cryptography, touch-tone dialing, Google page-ranking, atmospheric technological know-how, and picture processing, in addition to classical difficulties from physics and engineering.
This revised variation comprises adjustments and corrections made because the unique version was once released in 2004.
Audience: Numerical Computing with MATLAB is designed for a one-quarter or one-semester direction essentially for college students in technological know-how and engineering, on the complicated undergraduate or starting graduate point. necessities are calculus, a few familiarity with usual differential equations and matrices, and a few laptop programming experience.
Contents: Preface; bankruptcy 1: advent to MATLAB; bankruptcy 2: Linear Equations; bankruptcy three: Interpolation; bankruptcy four: Zeros and Roots; bankruptcy five: Least Squares; bankruptcy 6: Quadrature; bankruptcy 7: usual Differential Equations; bankruptcy eight: Fourier research; bankruptcy nine: Random Numbers; bankruptcy 10: Eigenvalues and Singular Values; bankruptcy eleven: Partial Differential Equations; Bibliography; Index.