Titlebook: Bayesian Approach to Global Optimization; Theory and Applicati Jonas Mockus Book 1989 Kluwer Academic Publishers 1989 global optimization.o

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H. C. Hemker,E. A. Loeliger,J. J. Veltkampditional information indicating that there is only one minimum (or maximum). This definition also includes the case of discrete optimization, when the (quantifiable) decision variables must assume discrete values. In this book we shall consider only the case of continuous variables because for the p

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Influence of Physical Activity,n some real life examples. The investigation of such examples is also useful as an extension of the set of special test problems which are usually more simple but not representative as real engineering problems. The method can perform reasonably well on some textbook problem and fail on practical ta

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Global Optimization and the Bayesian Approach,ditional information indicating that there is only one minimum (or maximum). This definition also includes the case of discrete optimization, when the (quantifiable) decision variables must assume discrete values. In this book we shall consider only the case of continuous variables because for the p

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