Basic Numerical Mathematics, Volume 1: Numerical Analysis focuses on numerical analysis, with emphasis on the ideas of "controlled computational experiments" and "bad examples". The concepts of convergence and continuity are discussed, along with the rate of convergence, acceleration, and asymptotic series. The more traditional topics of interpolation, quadrature, and differential equations are also explored. Comprised of 10 chapters, this volume begins with an analysis of the algorithms of Gauss, Borchardt, and Carlson in relation to the rate of convergence. The reader is then introduced to orders of magnitude and rates of convergence; recurrence relations for powers; and the solution of equations. Subsequent chapters deal with uniform convergence and approximation; the acceleration processes of Aitken and Euler; asymptotic series; interpolation; and quadrature. The final chapter is devoted to linear difference equations with constant coefficients, along with differentiation and differential equations. This book will be of interest to mathematicians and students of mathematics.
Fundamentals -- Solving equations -- Systems of equations -- Interpolation -- Least squares -- Numerical differentiation and integration -- Ordinary differential equations -- Boundary value problems -- Partial differential equations -- ...
Computation, approximation, interpolation, numerical differentiation and integration, smoothing of data, more. Includes 150 additional problems in this edition.
Laguerre polynomials Exercise 5.6.1 . Let P be a polynomial of degree d and let p be any positive integer or zero . Show that the function dp Q ( ) = ? ( P ( x ) e- * ) Exercise 5.6.2 . We define the Laguerre polynomials by ex.
Table 2.3 '1 Prt 0 0.7853981635 1 0.7071067810 2 0.7602445972 3 0.7246674808 4 07487198858 5 07325608446 6 0.7434642113 7 0.7361282565 Table 2.4 — Newton's Method ” PH 0 0.7853981635 1 0.7395361337 2 0.7390851781 3 0.7390851332 4 ...
Introduction to numerical analysis combining rigour with practical applications. Numerous exercises plus solutions.
Construct and graph the cubic B ́ezier polynomials given the following points and guidepoints. a. ... Show that the Bernstein polynomial of degree three in t for f is u(t) and the Bernstein polynomial of degree three in t for g is v(t).
This Second Edition of a standard numerical analysis text retains organization of the original edition, but all sections have been revised, some extensively, and bibliographies have been updated. New topics...
This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Praise for the First Edition ". . . outstandingly appealing with regard to its style, contents, considerations of requirements of practice, choice of examples, and exercises." —Zentrablatt Math ". . . carefully structured with many ...
On the occasion of this new edition, the text was enlarged by several new sections.