Mathematical Software.
概要
| 作品: | 129 作品在 60 項出版品 60 種語言 | |
|---|---|---|
書目資訊
The SimCalc vision and contributions = democratizing access to important mathematics /
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Microeconomic theory and computation = applying the maxima open-source computer algebra system /
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Remote sensing of the environment and radiation transfer = an introductory survey /
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Automated solution of differential equations by the finite element method = the FEniCS book /
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Algebraic modeling systems = modeling and solving real world optimization problems /
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Advances in applied mathematics and global optimization = in honor of Gilbert Strang /
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Programming for computations - Python = a gentle introduction to numerical simulations with Python /
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Programming for computations - MATLAB/Octave = a gentle introduction to numerical simulations with MATLAB/Octave /
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Learn business analytics in six steps using SAS and R = a practical, step-by-step guide to learning business analytics /
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Concise guide to software engineering = from fundamentals to application methods /
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Scientific computing and algorithms in industrial simulations = projects and products of Fraunhofer SCAI /
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Eigenvalue problems = algorithms, software and applications in Petascale computing : EPASA 2015, Tsukuba, Japan, September 2015 /
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Collecting, processing and presenting geoscientific information = MATLAB and design recipes for Earth sciences /
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Practical mathematical optimization = basic optimization theory and gradient-based algorithms /
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Digital technologies in designing mathematics education tasks = potential and pitfalls /
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Basiswissen Mathematik = Der smarte Einstieg in die Mathematikausbildung an Hochschulen /
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Ideals, Varieties, and Algorithms = An Introduction to Computational Algebraic Geometry and Commutative Algebra /
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Algorithmen von Hammurapi bis Gödel = Mit Beispielen aus den Computeralgebrasystemen Mathematica und Maxima /
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Programming for Computations - MATLAB/Octave = A Gentle Introduction to Numerical Simulations with MATLAB/Octave /
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MATHEMATICA kompakt = Mathematische Problemlösungen für Ingenieure, Mathematiker und Naturwissenschaftler /
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Learn Business Analytics in Six Steps Using SAS and R = A Practical, Step-by-Step Guide to Learning Business Analytics /
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Programming for Computations - Python = A Gentle Introduction to Numerical Simulations with Python /
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Mathematische Aufgaben und Lösungen automatisch generieren = Effizientes Lehren und Lernen mit MATLAB /
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Collecting, Processing and Presenting Geoscientific Information = MATLAB® and Design Recipes for Earth Sciences /
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Advances in Computer Algebra = In Honour of Sergei Abramov's' 70th Birthday, WWCA 2016, Waterloo, Ontario, Canada /
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Practical Mathematical Optimization = Basic Optimization Theory and Gradient-Based Algorithms /
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Compatible Finite Element Methods for Geophysical Flows = Automation and Implementation Using Firedrake /
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Numerical Python = Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib /
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Programming for Computations - Python = A Gentle Introduction to Numerical Simulations with Python 3.6 /
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Angewandte Optimierung mit IBM ILOG CPLEX Optimization Studio = Modellierung von Planungs- und Entscheidungsproblemen des Operations Research mit OPL /
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Statistics with Julia = Fundamentals for Data Science, Machine Learning and Artificial Intelligence /
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Angewandte Optimierung mit IBM ILOG CPLEX Optimization Studio = Modellierung von Planungs- und Entscheidungsproblemen des Operations Research mit OPL /
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Topological Methods in Data Analysis and Visualization VI = Theory, Applications, and Software /
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Decision Optimization with IBM ILOG CPLEX Optimization Studio = A Hands-On Introduction to Modeling with the Optimization Programming Language (OPL) /
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Hochschulmathematik mit Octave verstehen und anwenden = Eine Orientierungshilfe für die ersten Schritte /
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