Science - Data processing.

Scientific computing with MATLAB and Octave / by: (Language materials, printed)

Advances in software tools for scientific computing / by: (Language materials, printed)

Python Scripting for Computational Science / by: (Electronic resources)

High Performance Computing in Science and Engineering `07 :Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2007 / by: (Electronic resources)

Accuracy and reliability in scientific computing by: (Electronic resources)

Transactions on computational science II by: (Language materials, printed)

Solving problems in scientific computing using Maple and MATLAB / by: (Language materials, printed)

High performance computing in science and engineering '08transactions of the High Performance Computing Center, Stuttgart (HLRS) 2008 / by: (Electronic resources)

Transactions on Computational Science III by: (Electronic resources)

Transactions on computational science Vspecial issue on cognitive knowledge representation / by: (Electronic resources)

Getting started with MATLAB :a quick introduction for scientists and engineers / by: (Language materials, printed)

Transactions on computational science VI by: (Electronic resources)

Future application and middleware technology on e-Science by: (Electronic resources)

Transactions on computational science VII by: (Electronic resources)

Scientific computing with MATLAB and Octave by: (Electronic resources)

Modeling and simulation in Scilab/Scicos with ScicosLab5 4.4 by: (Electronic resources)

Advanced Computational Methods in Science and Engineering by: (Electronic resources)

Scientific computation / by: (Language materials, printed)

Semantic e-science by: (Electronic resources)

Elements of scientific computing by: (Electronic resources)

Introduction to scientific programming and simulation using R / by: (Language materials, printed)

Scientific computing with multicore and accelerators / by: (Language materials, printed)

Fundamentals of scientific computing by: (Electronic resources)

High speed and large scale scientific computing by: (Electronic resources)

High-performance scientific computingalgorithms and applications / by: (Electronic resources)

Guide to scientific computing in C++ by: (Electronic resources)

A primer on scientific programming with Python by: (Electronic resources)

Introduction to scientific programming and simulation using R by: (Electronic resources)

Disrupted networksfrom physics to climate change / by: (Electronic resources)

Handbook of research on computational science and engineeringtheory and practice / by: (Electronic resources)

A guide to Microsoft Excel 2007 for scientists and engineers by: (Electronic resources)

Data-driven modeling & scientific computation :methods for complex systems & big data / by: (Language materials, printed)

Scientific computing with MATLAB and Octave by: (Electronic resources)

Scientific computingan introduction using Maple and MATLAB / by: (Electronic resources)

Applications of mathematics and informatics in science and engineering by: (Electronic resources)

Global trends in intelligent computing research and development / by: (Electronic resources)

Digital Da Vincicomputers in the arts and sciences / by: (Electronic resources)

Scientific programmingC-language, algorithms and models in science / by: (Electronic resources)

Process design for natural scientistsan agile model-driven approach / by: (Language materials, printed)

Scientific computing :an introductory survey / by: (Language materials, printed)

Introduction to scientific programming and simulation using R / by: (Language materials, printed)

High performance computing in science and engineering '14transactions of the High Performance Computing Center, Stuttgart (HLRS) 2014 / by: (Electronic resources)

Integrated information and computing systems for natural, spatial, and social sciences by: (Electronic resources)

High performance computing in science and engineering'15transactions of the high performance computing center, stuttgart (HLRS) 2015 / by: (Electronic resources)

Introduction to scientific computing and data analysis by: (Electronic resources)

A Guide to Microsoft Excel 2013 for scientists and engineers by: (Electronic resources)

Topics in numerical partial differential equations and scientific computing by: (Electronic resources)

Learning scientific programming with Python / by: (Electronic resources)

Optimization and applications in control and data sciencesin honor of Boris T. Polyak's 80th Birthday / by: (Electronic resources)

High performance computing in science and engineering '16transactions of the High Performance Computing Center, Stuttgart (HLRS) 2016 / by: (Electronic resources)

Scientific computing and algorithms in industrial simulationsprojects and products of Fraunhofer SCAI / by: (Electronic resources)

Introduction to Scilabfor engineers and scientists / by: (Electronic resources)

Guide to scientific computing in C++ by: (Electronic resources)

Designing scientific applications on GPUs by: (Electronic resources)

Scientific computinga historical perspective / by: (Electronic resources)

Learning scientific programming with Python by: (Electronic resources)

Python for scientists by: (Electronic resources)

Data-driven science and engineering :machine learning, dynamical systems, and control / by: (Language materials, printed)

Insights from data with R :an introduction for the life and environmental sciences / by: (Language materials, printed)

Fortran for scientists and engineers / by: (Language materials, printed)

e-Scienceopen, social and virtual technology for research collaboration / by: (Electronic resources)

Liengme's guide to Excel 2016 for scientists and engineersWindows and Mac / by: (Electronic resources)

Principles of parallel scientific computinga first guide to numerical concepts and programming methods / by: (Electronic resources)

Practical numerical and scientific computing with MATLAB and Python by: (Electronic resources)

Architecture of advanced numerical analysis systemsdesigning a scientific computing system using OCaml / by: (Electronic resources)

Introduction to scientific computing and data analysis by: (Electronic resources)

Machine learning in modeling and simulationmethods and applications / by: (Electronic resources)

A gentle introduction to scientific computing by: (Electronic resources)

New frontiers in science in the era of AI by: (Electronic resources)

Data-driven science and engineering :machine learning, dynamical systems, and control / by: (Language materials, printed)