Mathcad_Mechanical_Engineering_Library. Mathcad_Mechanical_Engineering_Library.

Mathcad_Mechanical_Engineering_Library. Mathcad_Mechanical_Engineering_Library.

Mathcad_Mechanical_Engineering_Library. Mathcad_Mechanical_Engineering_Library.

Mathcad_Mechanical_Engineering_Library. Mathcad_Mechanical_Engineering_Library.

解压密码 share.weimo.info Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th . Always a market favorite, this calculus-based book offers a comprehensive introduction to probability and statistics while demonstrating how to apply concepts, models, and methodologies in today's engineering and scientific workplaces. Jay Devore, an award-winning professor and internationally recognized author and statistician, stresses lively examples and engineering activities to drive home the numbers without exhaustive mathematical development and derivations. Many examples, practice problems, sample tests, and simulations based on real data and issues help you build a more intuitive connection to the material. A proven and accurate book, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th also includes graphics and screen shots from SAS, MINITAB, and Java™ Applets to give you a solid perspective of statistics in action.,解压密码 share.weimo.info

微波工程(中文版) Microwave Engineering 3rd David M.pozar

This seventh edition of Advanced Engineering Mathematics differs from the sixth in four ways. First, based on reviews and user comments, new material has been added, including the following. • Orthogonal projections and least squares approximations of vectors and functions. This provides a unifying theme in recognizing partial sums of eigenfunction expansions as projections onto subspaces, as well as understanding lines of best fit to data points. • Orthogonalization and the production of orthogonal bases. • LU factorization of matrices. • Linear transformations and matrix representations. • Application of the Laplace transform to the solution of Bessel’s equation and to problems involving wave motion and diffusion. • Expanded treatment of properties and applications of Legendre polynomials and Bessel functions, including a solution of Kepler’s problem and a model of alternating current flow. • Heaviside’s formula for the computation of inverse Laplace transforms. • A complex integral formula for the inverse Laplace transform, including an application to heat diffusion in a slab. • Vector operations in orthogonal curvilinear coordinates. • Application of vector integral theorems to the development of Maxwell’s equations. • An application of the Laplace transform convolution to a replacement scheduling problem.

Mathematical Methods for Physics and Engineering,Mathematical Methods for Physics and Engineering

概率论，数据和随机过程的在电气工程中的运用

Practical Optimization: Algorithms and Engineering Applications provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complimentary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable as a reference work for practitioners in the field. Advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimization methods in many disciplines, e.g., engineering, business, and science, and has subsequently led to problem solutions that were considered intractable not too long ago.