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Solving Algebraic Computational Problems in Geodesy and Geoinformatics The Answer to Modern Challenges /
Published 2005Get full text
Electronic eBook -
2
Solving Algebraic Computational Problems in Geodesy and Geoinformatics The Answer to Modern Challenges /
Published 2005Get full text
Electronic eBook -
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5
Learning SciPy for numerical and scientific computing a practical tutorial that guarantees fast, accurate, and easy-to-code solutions to your numerical and scientific computing problems with the power of SciPy and Python /
Published 2013An electronic book accessible through the World Wide Web; click to view
Electronic eBook -
6
Learning SciPy for numerical and scientific computing a practical tutorial that guarantees fast, accurate, and easy-to-code solutions to your numerical and scientific computing problems with the power of SciPy and Python /
Published 2013An electronic book accessible through the World Wide Web; click to view
Electronic eBook -
7
Handbook of Mixture Analysis
Published 2018Table of Contents: “…4.3.3 Boundary parameters: overfitted mixtures4.3.4 Asymptotic behaviour of posterior estimates of the number of components; 4.4 Concluding Remarks; Bibliography; 5: Computational Solutions for Bayesian Inference in Mixture Models; 5.1 Introduction; 5.2 Algorithms for Posterior Sampling; 5.2.1 A computational problem? Which computational problem?; 5.2.2 Gibbs sampling; 5.2.3 Metropolis-Hastings schemes; 5.2.4 Reversible jump MCMC; 5.2.5 Sequential Monte Carlo; 5.2.6 Nested sampling; 5.3 Bayesian Inference in the Model-Based Clustering Context; 5.4 Simulation Studies…”
Taylor & Francis
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Electronic eBook -
8
Handbook of Mixture Analysis
Published 2018Table of Contents: “…4.3.3 Boundary parameters: overfitted mixtures4.3.4 Asymptotic behaviour of posterior estimates of the number of components; 4.4 Concluding Remarks; Bibliography; 5: Computational Solutions for Bayesian Inference in Mixture Models; 5.1 Introduction; 5.2 Algorithms for Posterior Sampling; 5.2.1 A computational problem? Which computational problem?; 5.2.2 Gibbs sampling; 5.2.3 Metropolis-Hastings schemes; 5.2.4 Reversible jump MCMC; 5.2.5 Sequential Monte Carlo; 5.2.6 Nested sampling; 5.3 Bayesian Inference in the Model-Based Clustering Context; 5.4 Simulation Studies…”
Taylor & Francis
OCLC metadata license agreement
Electronic eBook -
9
Intel® Xeon Phi™ Coprocessor Architecture and Tools The Guide for Application Developers /
Published 2013Get full text
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10
Intel® Xeon Phi™ Coprocessor Architecture and Tools The Guide for Application Developers /
Published 2013Get full text
Electronic eBook