Science - Data processing.

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

Scientific computing = an introduction using Maple and MATLAB / by: (Electronic resources)

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

Digital Da Vinci = computers in the arts and sciences / by: (Electronic resources)

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

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

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

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

A first course in scientific computing : = symbolic, graphical, and numeric problem solving using Maple, Java, Mathematica, and Fortran / by: (Language materials, printed)

Modeling and simulation in Scilab/Scicos / by: (Language materials, printed)

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

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

Problem solving and computation for scientists and engineers : = an introduction using C / by: (Language materials, printed)

Analytical, numerical, and computational methods for science and engineering / by: (Language materials, printed)

FORTRAN 77 for engineers and scientists / by: (Language materials, printed)

The handbook of software for engineers and scientists / by: (Language materials, printed)

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

Projects in scientific computation / by: (Language materials, printed)

A first course in computational physics and object-oriented programming with C++ / by: (Language materials, printed)

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

A first course in scientific computing : = symbolic, graphic, and numeric modeling using Maple, Java, Mathematica, and Fortran90 / by: (Language materials, printed)

Python scripting for computational science / by: (Language materials, printed)

Python Scripting for Computational Science by: (Language materials, printed)

High Performance Computing in Science and Engineering `07 = Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2007 / by: (Language materials, printed)

A survey of computational physics : = introductory computational science / by: (Language materials, printed)

Python scripting for computational science / by: (Language materials, printed)

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

Microprocessors and small digital computer systems for engineers and scientists / by: (Language materials, printed)

Parallel computations / by: (Language materials, printed)

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

Transactions on Computational Science III by: (Language materials, printed)

Future application and middleware technology on e-Science by: (Language materials, printed)

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

Modeling and simulation in Scilab/Scicos with ScicosLab5 4.4 by: (Language materials, printed)

Semantic e-science by: (Language materials, printed)

Elements of scientific computing by: (Language materials, printed)

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

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

Disrupted networks = from physics to climate change / by: (Electronic resources)

Handbook of research on computational science and engineering = theory and practice / by: (Language materials, printed)

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

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

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

Random differential equations in scientific computing / by: (Language materials, printed)

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

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

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

Process design for natural scientists = an agile model-driven approach / by: (Electronic resources)

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

Learning scientific programming with Python / by: (Language materials, printed)

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

Python for scientists / by: (Language materials, printed)

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

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

Introduction to Scilab = for engineers and scientists / by: (Electronic resources)

Designing scientific applications on GPUs by: (Electronic resources)

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

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

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

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

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

Machine learning in modeling and simulation = methods and applications / by: (Electronic resources)

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

Learning scientific programming with Python by: (Electronic resources)

Python for scientists by: (Electronic resources)

Excel for scientists and engineers : = numerical methods / by: (Language materials, printed)

Excel for scientists / by: (Language materials, printed)

Programming in Mathematica / by: (Language materials, printed)

Accuracy and reliability in scientific computing by: (Language materials, printed)

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

Managing data using Excel : = organizing, summarizing and visualizing scientific data / by: (Language materials, printed)

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

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

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