Results 301 to 310 of about 5,918,114 (348)
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1999
Since the advent of linear programming and nonlinear programming modelling of transportation and location has meant that space is treated in terms of subscripted variables where the subscripts represent points in space enumerated in an arbitrary manner. The geometric image of what is being modelled is lost in this process.
Tönu Puu, Martin Beckmann
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Since the advent of linear programming and nonlinear programming modelling of transportation and location has meant that space is treated in terms of subscripted variables where the subscripts represent points in space enumerated in an arbitrary manner. The geometric image of what is being modelled is lost in this process.
Tönu Puu, Martin Beckmann
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Continuous and Discrete Time Models
1987Most economists recognize that the use of discrete time is only an approximation, but assume (usually implicitly) that the error of approximation involved is trivially small relative to the other sorts of simplification and approximation inherent in economic theorizing.
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1981
In Chapter 6 we showed how the transient and steady-state behavior of single-feature training procedures can be analyzed by Markov chains. However in most training procedures the state space is multidimensional and the density of states is indefinitely large, thereby making finite Markov chain models inappropriate.
Jack Sklansky, Gustav N. Wassel
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In Chapter 6 we showed how the transient and steady-state behavior of single-feature training procedures can be analyzed by Markov chains. However in most training procedures the state space is multidimensional and the density of states is indefinitely large, thereby making finite Markov chain models inappropriate.
Jack Sklansky, Gustav N. Wassel
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1987
We shall give a complete list of results pertaining to two fundamental continuous models, the HM and SG models. For the rapidly decreasing boundary conditions we shall analyze the mapping F from the initial data of the auxiliary linear problem to the transition coefficients and the discrete spectrum, and show how to solve the inverse problem, i. e. how
Ludwig D. Faddeev, Leon A. Takhtajan
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We shall give a complete list of results pertaining to two fundamental continuous models, the HM and SG models. For the rapidly decreasing boundary conditions we shall analyze the mapping F from the initial data of the auxiliary linear problem to the transition coefficients and the discrete spectrum, and show how to solve the inverse problem, i. e. how
Ludwig D. Faddeev, Leon A. Takhtajan
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2010
The molecular motor enzyme Kinesin can travel along a microtubule and transport various objects. This protein can move linearly along its designated track, against an external force, by using chemical energy provided by a high concentration of ATP (adenosine triphosphate) molecules in the environment.
Philipp O. J. Scherer +1 more
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The molecular motor enzyme Kinesin can travel along a microtubule and transport various objects. This protein can move linearly along its designated track, against an external force, by using chemical energy provided by a high concentration of ATP (adenosine triphosphate) molecules in the environment.
Philipp O. J. Scherer +1 more
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2001
We develop notation for describing a temporal structure over the real numbers flow of time. This forms a basis for various reasoning tasks including synthesizing a model from a given temporal or first-order specification. We announce an efficient procedure for finding a manageable description of such a model.
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We develop notation for describing a temporal structure over the real numbers flow of time. This forms a basis for various reasoning tasks including synthesizing a model from a given temporal or first-order specification. We announce an efficient procedure for finding a manageable description of such a model.
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2017
Before we begin the study of partial differential equations (PDEs) we will explain how to classify them. A general quadratic surface can be described by the expressionDepending on the values of the constants (A, B, C, D, E and F), different geometrical objects will be represented:
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Before we begin the study of partial differential equations (PDEs) we will explain how to classify them. A general quadratic surface can be described by the expressionDepending on the values of the constants (A, B, C, D, E and F), different geometrical objects will be represented:
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2002
In the case of discrete time system models, the stochastic case hardly amounts to more than introducing an extra sample point argument into each of the variables in the problem.
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In the case of discrete time system models, the stochastic case hardly amounts to more than introducing an extra sample point argument into each of the variables in the problem.
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2014
In this chapter, models for continuous time will be discussed. It is structured as follows: The lognormal model and some extensions based on it are discussed first, followed by relative risk models. For relative risk models, there is a unified approach for estimation based on IWLS proposals.
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In this chapter, models for continuous time will be discussed. It is structured as follows: The lognormal model and some extensions based on it are discussed first, followed by relative risk models. For relative risk models, there is a unified approach for estimation based on IWLS proposals.
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