The Art Of Randomness : Randomized Algorithms in the Real World
Ronald T. Kneusel
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Mauricio Suarez
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Steve M. (University of Toronto) Easterbrook
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Bayesian Filtering and Smoothing
Simo (Aalto University, Finland) Sarkka
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Oliver Niggemann
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Eugene J. Zak
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Characters and Blocks of Solvable Groups : A User's Guide to Large Orbit Theorems
James Cossey
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Manifold Learning : Model Reduction in Engineering
David Ryckelynck
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Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization
Federico Moretta
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Kalman-Filter : Einfuhrung in die Zustandsschatzung und ihre Anwendung fur eingebettete Systeme
Reiner Marchthaler
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Student Solutions Manual for Non Linear Dynamics and Chaos : With Applications to Physics, Biology, Chemistry, and Engineering
Mitchal Dichter
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Artem (University of Sydney, Australia) Prokhorov
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Ismar Volic
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Making Democracy Count : How Mathematics Improves Voting, Electoral Maps, and Representation
Ismar Volic
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Nicholas Shackel
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Bertrand's Paradox and the Principle of Indifference
Nicholas Shackel
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The Mathematical Foundation of Multi-Space Learning Theory
Tai Wang
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The Mathematical Foundation of Multi-Space Learning Theory
Tai Wang
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Efficiency and Productivity Analysis : Using Copulas in Stochastic Frontier Models
Artem Prokhorov
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