Economics Today / Hardcover / 19th edition / by Roger LeRoy Miller / Person
Completely clean , in excellent condition interior. Some cover scratched. Ships next business day with USPS tracking. Great packing. n75
Unix Power Tools Mike, O’Reilly, Tim, Peek, Jerry, Powers, Shelle
Book
Elementary Physical Education: Curriculum and Instruction – Hardcover – GOOD
Elementary Physical Education: Curriculum and Instruction – Hardcover – GOOD Product Id:1449657192 Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc…
Upgrading and Repairing PCs by Scott Mueller (2011, Trade Paperback / Mixed Lot)
“Upgrading and Repairing PCs by Scott Mueller is a comprehensive textbook published by Pearson Education in 2011. This revised edition covers the subject areas of hardware, personal computers, and general PC maintenance. With 1104 pages and a mix of trade paperback and mixed lot formats, it provides detailed information for those looking to upgrade or repair their personal computers. Written in English and authored by Scott Mueller, this book is a valuable resource for both students and professionals in the field of computer technology.”
Craig S. Keener Miracles Volume 2 Hardcover Baker Academic Biblical Commentary
Craig S. Keener Miracles Volume 2 Hardcover Baker Academic Biblical Commentary
Machine Tool Practices (What’s New in Trades & Technology)
You are purchasing a New copy of ‘Machine Tool Practices (What’s New in Trades & Technology)’.
A Comprehensive Guide to the Hazardous Properties of Chemical Substances: Used
Good Used Hard cover
McGraw Hill Economics AP Edition 22nd Ed Hardcover 2021 McConnell Brue Flynn
McGraw Hill Economics AP Edition 22nd Ed Hardcover 2021 McConnell Brue Flynn
LINEAR ALGEBRA AND ITS APPLICATIONS,5ED DAVID LAY-NEW. IMPORT FEES PAID,DDP SHIP
However, when abstract concepts are introduced, students often hit a wall. Linear transformations form a “thread” that is woven into the fabric of the text. A modern view of matrix multiplication is presented, with definitions and proofs focusing on the columns of a matrix rather than on the matrix entries.