Computer software
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Computer software
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Computer software
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Incoming Resources
- Models, Algorithms and Technologies for Network Analysis, From the Third International Conference on Network Analysis, edited by Mikhail V. Batsyn, Valery A. Kalyagin, Panos M. Pardalos
- Scientific Computing and Algorithms in Industrial Simulations, Projects and Products of Fraunhofer SCAI, edited by Michael Griebel, Anton Schüller, Marc Alexander Schweitzer
- Rosenbrock-Wanner-Type Methods, Theory and Applications, edited by Tim Jax, Andreas Bartel, Matthias Ehrhardt, Michael Günther, Gerd Steinebach
- Getting started with Stata for Windows, release 11
- Introduction to Scientific Programming with Python, by Joakim Sundnes
- Stata reference manual, release 10
- Getting started with Stata for Unix, release 11
- Software tools, Brian W. Kernighan, P. J. Plauger
- Topological Data Analysis for Scientific Visualization, by Julien Tierny
- Sovereignty Blockchain 1.0, Orderly Internet and Community with a Shared Future for Humanity, by Lian Yuming
- Numerical Semigroups, IMNS 2018, edited by Valentina Barucci, Scott Chapman, Marco D'Anna, Ralf Fröberg
- Numerical Analysis Using Sage, by George A. Anastassiou, Razvan A. Mezei
- Programming for Computations - MATLAB/Octave, A Gentle Introduction to Numerical Simulations with MATLAB/Octave, by Svein Linge, Hans Petter Langtangen
- Elements of Copula Modeling with R, by Marius Hofert, Ivan Kojadinovic, Martin Mächler, Jun Yan
- Ideals, Varieties, and Algorithms, An Introduction to Computational Algebraic Geometry and Commutative Algebra, by David A. Cox, John Little, Donal O'Shea
- Software, an emerging industry
- Singular Spectrum Analysis with R, by Nina Golyandina, Anton Korobeynikov, Anatoly Zhigljavsky
- Tensor Eigenvalues and Their Applications, by Liqun Qi, Haibin Chen, Yannan Chen
- Programming for Computations - Python, A Gentle Introduction to Numerical Simulations with Python, by Svein Linge, Hans Petter Langtangen
- Handbook of Heuristics, edited by Rafael Martí, Panos M. Pardalos, Mauricio G. C. Resende
- Computer Algebra, An Algorithm-Oriented Introduction, by Wolfram Koepf
- Recent Advances in Industrial and Applied Mathematics, edited by Tomás Chacón Rebollo, Rosa Donat, Inmaculada Higueras
- Getting Started in Mathematical Life Sciences, From MATLAB Programming to Computer Simulations, by Makoto Sato
- Integrating Routing Decisions in Public Transportation Problems, by Marie E. Schmidt
- Data Mining with SPSS Modeler, Theory, Exercises and Solutions, by Tilo Wendler, Sören Gröttrup
- Bayesian Optimization and Data Science, by Francesco Archetti, Antonio Candelieri
- Linear Time Series with MATLAB and OCTAVE, by Víctor Gómez
- Pyomo - Optimization Modeling in Python, by Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson, David L. Woodruff
- Dynamical Systems with Applications Using Mathematica®, by Stephen Lynch
- Solving PDEs in Python, The FEniCS Tutorial I, by Hans Petter Langtangen, Anders Logg
- Stata multivariate statistics reference manual, release 10
- Advances in Computer Algebra, In Honour of Sergei Abramov's' 70th Birthday, WWCA 2016, Waterloo, Ontario, Canada, edited by Carsten Schneider, Eugene Zima
- Mathematica®: A Problem-Centered Approach, by Roozbeh Hazrat
- Numerical Mathematics and Advanced Applications - ENUMATH 2013, Proceedings of ENUMATH 2013, the 10th European Conference on Numerical Mathematics and Advanced Applications, Lausanne, August 2013, edited by Assyr Abdulle, Simone Deparis, Daniel Kressner, Fabio Nobile, Marco Picasso
- DUNE — The Distributed and Unified Numerics Environment, by Oliver Sander
- Supervised learning with Python, concepts and practical implementation using Python, Vaibhav Verdhan ; foreword by Dr. Eli Yechezkiel Kling (PhD)
- Learning MATLAB, A Problem Solving Approach, by Walter Gander
- CICA 32, [for windows]
- Fourth Industrial Revolution and Business Dynamics, Issues and Implications, edited by Nasser Rashad Al Mawali, Anis Moosa Al Lawati, Ananda S
- Statistical Data Analysis Using SAS, Intermediate Statistical Methods, by Mervyn G. Marasinghe, Kenneth J. Koehler
- Getting started with Stata for Windows, Release 10
- Handbook of Heuristics, edited by Rafael Martí, Pardalos Panos, Mauricio G. C. Resende
- Selected Applications of Convex Optimization, by Li Li
- Statistical Regression Modeling with R, Longitudinal and Multi-level Modeling, by Ding-Geng (Din) Chen, Jenny K. Chen
- Multiple Criteria Decision Aid, Methods, Examples and Python Implementations, by Jason Papathanasiou, Nikolaos Ploskas
- Scientific Computing - An Introduction using Maple and MATLAB, by Walter Gander, Martin J. Gander, Felix Kwok
- Lectures on Convex Optimization, by Yurii Nesterov
- Input Modeling with Phase-Type Distributions and Markov Models, Theory and Applications, by Peter Buchholz, Jan Kriege, Iryna Felko
- Disruptive Technology, Legal Innovation, and the Future of Real Estate, edited by Amnon Lehavi, Ronit Levine-Schnur
- Statistics with Julia, Fundamentals for Data Science, Machine Learning and Artificial Intelligence, by Yoni Nazarathy, Hayden Klok
Outgoing Resources
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