I'm proud to announce the publication of the following books: Science and Engineering Mathematics with the HP 49 G - Volumes 1 and 2 Check them out at: http://www.greatunpublished.com/Authors/Gilberto_Urroz.htm Let's face it: the HP 49 G documentation is awful. You've got a palm-sized mini-computer and yet the documentation provided by HP teaches you only how to use your HP 49 G as a glorified pocket calculator. If you want to really exploit all the mathematical, graphical, statistical and programming capabilities of the HP 49 G you need these books. My books teach you how to use your calculator in your math, programming, and graphical applications including: 1 - complete description of keyboard functions 2 - operations with real and complex numbers 3 - operations with lists and programs 4 - programming in User RPL 5 - algebraic operations, simplifications, fractions, polynomials, modular arithmetic 6 - vector applications: dot and cross products, vector decomposition 7 - matrices, linear algebra, matrix decomposition, eigenvalue problems 8 - graphics: interactive and programming applications, 2D and 3D graphs 9 - solution to equations: single equations, system of equations, graphical solutions, solutions using the MES 10 - calculus: limits, derivatives, summations, integrals (both symbolic and numerical calculations), power series, applications in engineering and science 11 - multivariate calculus: partial derivatives, total differentials, integration of exact differentials, extreme values, applications to functions of a complex variable, multiple integration 11b - vector calculus: derivatives and integrals, gradient, divergence, curl, differential geometry, line integrals, surfaces, surface integrals, integral theorems 12 - ordinary differential equations: classification, catalog of solutions, linear ODEs, Laplace transforms, Fourier series, non-linear ODEs, generalized functions: Dirac's delta and Heaviside's step functions, applications to linear and non-linear mechanics, Bessel functions, Chebyshev polynomials, etc. 13 - partial differential equations: classification, solution to elliptic equations (a variety of solutions provided), Fourier transforms, orthogonal functions 14 - Random numbers, random variables (discrete and continuous), Binomial, Poisson, hypergeometric, normal, log-normal, Weibull, gamma, and beta probability distributions. Standard normal, Student's t, Chi-square and F distributions. Operations with discrete and continuous probability distributions. 15 - Statistical applications: sample statistics, linear (and linearized) regression, confidence intervals, hypothesis testing on the mean and variance, hypothesis testing in linear regression, multiple linear regression, polynomial regression ================================================================= Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =================================================================
