
Science For Coalmining Students
by H. Morton, D. S. Morton
Publisher: The Technical Press 1952
Number of pages: 274
Description:
The book, which is interesting, instructive and wide in scope, is the result of many years of experience in teaching science to mining students on the part of one of the authors and several years' practical experience underground by the other. Mining students have long felt the want of a textbook of science dealing with their own particular problems, particularly from the physical point of view. Consequently the book should prove very useful to candidates taking the various examinations for firemen, overmen and under-managers and to youths entering the industry.
Download or read it online for free here:
Download link
(multiple formats)
Similar books
Introduction to Linear, Time-Invariant, Dynamic Systems for Students of Engineeringby William Hallauer - Virginia Tech
This is a formal college engineering textbook, complete with homework problems. It will be understandable for students of engineering system dynamics, a valuable teaching resource for course instructors, and a useful reference for self-study.
(11357 views)
The Calculus for Engineersby John Perry - E. Arnold
This book describes what has for many years been the most important part of the regular college course in the Calculus for Mechanical and Electrical Engineering students. The students knew only the most elementary mathematics.
(18260 views)
Handbook of Mathematical Functionsby M. Abramowitz, I. A. Stegun - GPO
Students and professionals in the fields of mathematics, physics, engineering, and economics will find this reference work invaluable. A classic resource for special functions, standard trig, and exponential logarithmic definitions and extensions.
(36209 views)
Optimization Methods for Engineering Designby A.R. Parkinson, R.J. Balling, J.D. Hedengren - Brigham Young University
In this text we discuss a computer-based approach to design optimization, to search for the best design according to criteria that we specify. Further, we employ sophisticated algorithms that enable the computer to efficiently search for the optimum.
(13317 views)