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399
Parallel Genetic Algorithm On Pvm
- Proceedings of the International Conference on Parallel Algorithms (ICPA'95
, 1996
"... In this paper we describe an implementation of some kinds of parallel genetic algorithms on the PVM, Parallel Virtual Machine, a portable parallel environment. We give details of a genetic algorithm running on many small subpopulations with an occasional identification and exchange of their useful i ..."
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Cited by 5 (0 self)
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In this paper we describe an implementation of some kinds of parallel genetic algorithms on the PVM, Parallel Virtual Machine, a portable parallel environment. We give details of a genetic algorithm running on many small subpopulations with an occasional identification and exchange of their useful
Transformation of Functional Programs into Data Flow Graphs implemented with PVM
"... . We present an implementation of the functional language FASAN for automatic coarse-grain program parallelization on workstation clusters. It is designed primarily for recursive numerical algorithms with distributed tree-like data structures and it exploits the maximal inherent parallelism of a pro ..."
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. We present an implementation of the functional language FASAN for automatic coarse-grain program parallelization on workstation clusters. It is designed primarily for recursive numerical algorithms with distributed tree-like data structures and it exploits the maximal inherent parallelism of a
PVM And IP Multicast
, 1996
"... This report describes a 1994 demonstration implementation of PVM that uses IP multicast. PVM's one-to-many unicast implementation of its pvm mcast() function is replaced with reliable IP multicast. Performance of PVM using IP multicast over local and wide-area networks is measured and compared ..."
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Cited by 1 (0 self)
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This report describes a 1994 demonstration implementation of PVM that uses IP multicast. PVM's one-to-many unicast implementation of its pvm mcast() function is replaced with reliable IP multicast. Performance of PVM using IP multicast over local and wide-area networks is measured
Behavioral theories and the neurophysiology of reward,
- Annu. Rev. Psychol.
, 2006
"... ■ Abstract The functions of rewards are based primarily on their effects on behavior and are less directly governed by the physics and chemistry of input events as in sensory systems. Therefore, the investigation of neural mechanisms underlying reward functions requires behavioral theories that can ..."
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Cited by 187 (0 self)
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for an interesting spectrum of reward functions that may not be so easily accessible by using only a single theory. For example, it seems that uncertainty plays a larger role in parts of microeconomic theory than in learning theory, and the investigation of neural mechanisms of uncertainty in outcomes of behavior
Structured Automatic Differentiation
, 1998
"... eme which combines the forward and reverse modes of AD. Problem structure can be viewed in many di#erent ways; one way is to look at the granularity of the operations involved. For example, di#erentiation carried out at the matrix-vector operations can lead to great savings in the time as well as sp ..."
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Cited by 10 (0 self)
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as space requirements. Figuring out the kind of computation is another way to view structure, e.g., partially separable or composite functions whose structure can be exploited to get performance gains. In this thesis we develop a general structure framework which can be viewed hierarchically and allows
A Parallel Implementation Of The Restarted Gmres Iterative Method For Nonsymmetric Systems Of Linear Equations
- Adv. Comp. Math
, 1994
"... We describe the parallelisation of the GMRES(c) method and its implementation on distributed-memory architectures, using both networks of transputers and networks of workstations under the PVM message-passing system. The test systems of linear equations considered are those derived from five-point f ..."
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Cited by 19 (6 self)
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We describe the parallelisation of the GMRES(c) method and its implementation on distributed-memory architectures, using both networks of transputers and networks of workstations under the PVM message-passing system. The test systems of linear equations considered are those derived from five
A Parallel Architecture For Curve-Evolution Partial Differential Equations
, 2003
"... The computation of the distance function is a crucial and limiting element in many applications of image processing. This is particularly true for the PDE-based methods, where the distance is used to compute various geometric properties of the travelling curve. Massive Marching is a parallel al ..."
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Cited by 1 (1 self)
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The computation of the distance function is a crucial and limiting element in many applications of image processing. This is particularly true for the PDE-based methods, where the distance is used to compute various geometric properties of the travelling curve. Massive Marching is a parallel
Parameter Identification of Tidal Constituent Using Automatic Differentiation
, 2007
"... It is important to compute exact value of the gradient in the inverse problem. In case that the problem is given, the minimization of function is usually used to obtain the gradient. Thus, the analytical calculation of variation of functional should be introduced. But the variation is difficult to f ..."
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to formulate and programming. Therefore, there is a method of computation to pursue the variation of functional, Automatic Differentiation (AD). The AD is implemented with C++ programs using operator overloading technique. The partial derivatives are computed according to the differentiation rule of a
Optimal Control Using Second Order Automatic Differentiation
, 2004
"... The progress of computer and numerical technique in recent years allows us not only complex numerical simulation but also resolution of inverse problems. It is important to pursue higher and higher quality of gradient computation (it is called sensitivity analysis) in the inverse problem and this is ..."
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differentiation (AD), by which partial derivatives of a function can be computed automatically. Second order variation can be obtained by advancing AD. Here, this AD will be referred to as Second Order Automatic Differentiation (SOAD) for convenience, and ordinary AD is First Order Automatic Differentiation (FOAD
The automatic solution of partial differential equations using a global spectral method, submitted
"... Abstract. A spectral method for solving linear partial differential equations (PDEs) with vari-able coefficients and general boundary conditions defined on rectangular domains is described, based on separable representations of partial differential operators and the one-dimensional ultraspherical sp ..."
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Cited by 2 (1 self)
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Abstract. A spectral method for solving linear partial differential equations (PDEs) with vari-able coefficients and general boundary conditions defined on rectangular domains is described, based on separable representations of partial differential operators and the one-dimensional ultraspherical
Results 1 - 10
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399