nauki ścisłe i techniczne

A comprehensive survey of all the mathematical methods that should be available to graduates in physics. Aside from the usual topics of analysis, such as infinite series, functions of a complex variable and some differential...

Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. It demonstrates how and when to use statistical methods, while reinforcing...

This book provides in a concise, yet detailed way, the bulk of the probabilistic tools that a student working toward an advanced degree in statistics, probability and other related areas, should be equipped with. The approach...

INTRODUCTION TO MECHATRONICS AND MEASUREMENT SYSTEMS provides comprehensive and accessible coverage of the evolving field of mechatronics for mechanical, electrical and aerospace engineering majors. The authors present a...

The current literature on meta-analysis (a small collection) all assume a certain level of knowledge, and concentrate solely on the advanced issues. This text allows readers with no previous experience of meta-analysis to...

This book is a comprehensive, introductory text/reference for electrical and computer engineers and students with little experience with a high-level programming language. It systematically teaches the programming of a microcontroller...

Microfabrication is the key technology behind integrated circuits, microsensors, photonic crystals, ink jet printers, solar cells and flat panel displays. Microsystems can be complex, but the basic microstructures and processes...

This book is a concise introduction to the experimental technicalities of low and ultralow temperature physics research. The author has made extensive use of diagrams as aids to understanding, and refers the reader to the...

This new, up dated edition of Introduction to Mineral Exploration provides a comprehensive overview of all aspects of mineral exploration. Covers not only the nature of mineral exploration but also considers other factors...

Mixed modelling is one of the most promising and exciting areas of statistical analysis, enabling the analysis of nontraditional, clustered data that may come in the form of shapes or images, however many perceive mixed modelling...