Titlebook: Logic-Based Benders Decomposition; Theory and Applicati John Hooker Book 2024 The Editor(s) (if applicable) and The Author(s), under exclus

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John Hookeras far as to declare that ‘realism is well and truly dead’ (1986a, 112) and to compose the obituary of the debate, . the Natural Ontological Attitude. Fortunately, the allegations of premature death failed to persuade many philosophers, for whom the scientific realism debate has had a glorious past

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John Hookermework for studying abduction and induction as forms of ampliative reasoning’. There is a tension, however, at the outset. Bayesian reasoning does . have rules of acceptance. On a strict Bayesian approach,. we can never detach the probability of the conclusion of a probabilistic argument, no matter

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John Hooker the privatisation of digital tools as a mean of knowledge production. Arguing that education needs to adapt to the modern learner, the book’s unique approach is based on a disassociation with the deeply ingrained attitude with which people have traditionally viewed education – learning the existing

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the privatisation of digital tools as a mean of knowledge production. Arguing that education needs to adapt to the modern learner, the book’s unique approach is based on a disassociation with the deeply ingrained attitude with which people have traditionally viewed education – learning the existing

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Introduction,to the substantial generalization represented by logic-based Benders decomposition (LBBD). It chronicles some early developments in LBBD, and it provides a motivating example that illustrates the basic ideas that underlie LBBD. It concludes with a brief overview of the rest of the book.

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Basic Theory, formally states the LBBD algorithm and proves finite convergence when certain variables have finite domains, a condition normally satisfied in practice. It shows how classical Benders decomposition is a special case, and suggests some alternative perspectives on LBBD that provide additional insight

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