Mathematics - Data processing.

Essential Maple 7an introduction for scientific programmers / by: (Electronic resources)

Mathematica in actionproblem solving through visualization and computation / by: (Electronic resources)

Mathematicaa problem-centered approach / by: (Electronic resources)

Mathematica navigatormathematics, statistics, and graphics / by: (Electronic resources)

An introduction to modern mathematical computingwith Mathematica / by: (Electronic resources)

Mathematics by experimentplausible reasoning in the 21st century / by: (Electronic resources)

Learning MATLAB by: (Electronic resources)

A student's guide to the study, practice, and tools of modern mathematics by: (Electronic resources)

Computational methods in nonlinear analysisefficient algorithms, fixed point theory and applications / by: (Electronic resources)

Exercises in computational mathematics with MATLAB by: (Language materials, printed)

Matlab by exampleprogramming basics / by: (Electronic resources)

Mathematicaa problem-centered approach / by: (Electronic resources)

Computer-based problem solving process by: (Electronic resources)

Numbers and computers / by: (Language materials, printed)

An introduction to SAGE programmingwith applications to SAGE interacts for mathematics / by: (Electronic resources)

The mathematica book / by: (Language materials, printed)

Generalized Jeffrey conditionalizationa Frequentist Semantics of Partial Conditionalization / by: (Electronic resources)

Applied scientific computingwith Python / by: (Electronic resources)

Mathematica by example / by: (Electronic resources)

Practical MATLABwith modeling, simulation, and processing projects / by: (Electronic resources)

Discrete data analysis with R :visualization and modeling techniques for categorical and count data / by: (Language materials, printed)

An image processing tour of college mathematics / by: (Language materials, printed)

Beginning Mathematica and Wolfram for data scienceapplications in data analysis, machine learning, and neural networks / by: (Electronic resources)

Understanding Maple by: (Electronic resources)

Mathematica by example by: (Electronic resources)

Proof and computation IIfrom proof theory and univalent mathematics to program extraction and verification / by: (Electronic resources)

Concrete abstractionsformalizing and analyzing discrete theories and algorithms with the RISCAL model checker / by: (Electronic resources)

Beginning Mathematica and Wolfram for data scienceapplications in data analysis, machine learning, and neural networks / by: (Electronic resources)