Mathematics - Data processing.

An introduction to modern mathematical computing = with Mathematica / by: (Language materials, printed)

Mathematics and computing : = current research and developments / by: (Language materials, printed)

Computational methods in nonlinear analysis = efficient algorithms, fixed point theory and applications / by: (Language materials, printed)

Matlab by example = programming basics / by: (Language materials, printed)

Mathematical experiments on the computer by: (Language materials, printed)

Modelling physics with Microsoft Excel / by: (Language materials, printed)

Computer-based problem solving process by: (Language materials, printed)

An introduction to SAGE programming : = with applications to SAGE interacts for mathematics / by: (Language materials, printed)

Generalized Jeffrey conditionalization = a Frequentist Semantics of Partial Conditionalization / by: (Language materials, printed)

Applied scientific computing = with Python / by: (Language materials, printed)

Mathematica by example / by: (Language materials, printed)

Understanding Maple by: (Language materials, printed)

Mathematica by example by: (Language materials, printed)

Proof and computation II = from proof theory and univalent mathematics to program extraction and verification / by: (Language materials, printed)

Mathematica demystified by: (Language materials, printed)

Understanding Maple / by: (Language materials, printed)

Beginning Mathematica and Wolfram for data science = applications in data analysis, machine learning, and neural networks / by: (Language materials, printed)

MATLAB lessons, examples, and exercises = a tutorial for beginners and experts / by: (Language materials, printed)