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| | A First Course in Optimization Theory
Author: Rangarajan K. Sundaram
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| | Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences)
Authors: Stephen W. Raudenbush, Anthony S. Bryk
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| | Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science)
Author: Julian J. Faraway
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| | Introduction to Linear Optimization (Athena Scientific Series in Optimization and Neural Computation, 6) (Athena Scientific Series in Optimization and Neural Computation, 6)
Authors: Dimitris Bertsimas, John N. Tsitsiklis
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| | How to Solve It: Modern Heuristics
Authors: Zbigniew Michalewicz, David B. Fogel
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| | Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
Authors: Jorge Nocedal, Stephen Wright
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| | Dynamic Programming
Author: Richard Bellman
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| | Approximate Dynamic Programming: Solving the Curses of Dimensionality (Wiley Series in Probability and Statistics)
Author: Warren B. Powell
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| | Generalized Linear Models, Second Edition (Monographs on Statistics and Applied Probability)
Authors: P. Mccullagh, John A. Nelder
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| | AMPL: A Modeling Language for Mathematical Programming
Authors: Robert Fourer, David M. Gay, Brian W. Kernighan
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