Digital image processing

by Rafael C. Gonzalez, Richard E. Woods

Advanced engineering mathematics with MATLAB

by Dean G. Duffy

Data science from scratch

by Joel Grus

Numerical methods for engineers

by Steven C. Chapra, Raymond P. Canale

Numerical methods are techniques by which mathematical problems are formulated so that they can be solved with arithmeti...

Data-Driven Science and Engineering

by Steven L. Brunton, J. Nathan Kutz

Process modeling, simulation, and control for chemical engin...

by William L. Luyben

MATLAB for engineers

by Holly Moore

Parallel Processing and Applied Mathematics

by Roman Wyrzykowski

Security Engineering

by Ross J. Anderson

Security engineering is about building systems to remain dependable in the face of malice, error, or mischance.

The Elements of Statistical Learning

by Trevor Hastie, Robert Tibshirani

Software engineering mathematics

by Jim Woodcock

Data Engineering with Apache Spark, Delta Lake, and Lakehous...

by Manoj Kukreja

Mathematics for seismic data processing and interpretation

by A. R. Camina

Data Engineering

by Olaf Wolkenhauer

System theory uses mathematical concepts to describe physical, natural or social systems in order to gain an understandi...

Applied numerical methods for engineers and scientists

by Rao, S. S.

Advances in Computers

by Ali R. Hurson, Veljko Milutinovic

Applied mathematics 220: automatic data processing

by Harvard University. Division of Engineering and Applied Physics

Statistics for engineering and the sciences

by William Mendenhall, Terry Sincich

Data Fusion Mathematics

by Jitendra R. Raol

Process engineering data book

by Paul N. Cheremisinoff, Nicholas P. Cheremisinoff

The following checklist provides some of the most critical site location and selection factors.