The proceedings contain 60 papers. The topics discussed include: normal forms theory with applications to the non-linear oscillations in mechanics;some mathematical and computational methods in solid mechanics;ethics,...
ISBN:
(纸本)9789604742431
The proceedings contain 60 papers. The topics discussed include: normal forms theory with applications to the non-linear oscillations in mechanics;some mathematical and computational methods in solid mechanics;ethics, mathematical methods, informatics pattern, bioterrorism;softcomputing methodologies applied to audio-based information retrieval;analytical and boundary element based integral representation for numerical solution of 3-D potential problems in heterogeneous media containing singularities;generalization of sequential Wald's test for more than two hypotheses;single-allocation hub location problems with capacity decisions and balancing requirements;numerical solution of iterative ordinary differential equation by integration method;estimating local thickness finite element analysis;over a new approach on investment strategies;and a tow-phase local search for the K clusters with fixed cardinality problem.
High speed trains produce important dynamic actions on railway structures, which have been the subject of recent research and new provisions in design codes. The attention has focused mainly on vertical actions. The s...
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Nowadays, large scale distributed systems gather thousands of nodes with hierarchical memory models. They are heterogeneous, volatile and geographically distributed. The efficient exploitation of such systems requires...
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Nowadays, large scale distributed systems gather thousands of nodes with hierarchical memory models. They are heterogeneous, volatile and geographically distributed. The efficient exploitation of such systems requires the conception and adaptation of appropriate numericalmethods, the definition of new programming paradigms, new metrics for performance prediction, etc. The modern hybrid numericalmethods are well adapted to this kind of systems. This is particularly because of their multi-level parallelism and fault tolerance property. However the programming of these methods for these architectures requires concurrent reuse of sequential and parallel code. But the currently existing numerical libraries aren't able to exploit the multi-level parallelism offered by theses methods. A few linearalgebranumerical libraries make use of object oriented approach allowing modularity and extensibility. Nevertheless, those which offer modularity,sequential and parallel code reuse are almost non-existent. In this paper, we analyze the lacks in existing libraries and propose a design based on a component approach and the strict separation between computation operations, data management and communication control of an application. We present then an application of this design using YML scientific workflow environment (http://***/) jointly with the object oriented LAKe (linearalgebra Kernel) library. Some numerical experiments on GRID5000 platform validate our approach and show its efficiency.
The focus of this article is to undertake a comparative analysis of multi-step-ahead linear multivariate predictors. The approach considered for the estimation will be based on geometrically reliable linearalgebra to...
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ISBN:
(纸本)9781424477456
The focus of this article is to undertake a comparative analysis of multi-step-ahead linear multivariate predictors. The approach considered for the estimation will be based on geometrically reliable linearalgebra tools, resorting to subspace identification methods. A crucial issue is quantification of both bias error and variance affecting the estimate of the prediction for increasing values of the look ahead when only a small number of samples is available. No complete theory is available so far, nor sufficient numerical experience. Therefore, the analysis of this paper aims at shading some lights on the topic providing some insights and help to develop some intuitions.
This paper deals with computing the minimal and maximal shares of individuals or organizations based on different criteria. Suppose that players are selfish. Each player makes any possible efforts to bring about his o...
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This paper deals with computing the minimal and maximal shares of individuals or organizations based on different criteria. Suppose that players are selfish. Each player makes any possible efforts to bring about his or her ideal condition. This paper introduces the models for computing minimal cost-benefit ratio and maximal benefit-cost ratio, for each player and their coalitions and provides a new scheme for avoiding zero weight occurrence in these models. By using these models successful players or coalitions can be obtained.
Many application scenarios have been revealed with Sensornets. An Error Correcting Code (ECC) will be advantageous to communications in these applications. With the different expecting on efficiency, security, usabili...
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Many application scenarios have been revealed with Sensornets. An Error Correcting Code (ECC) will be advantageous to communications in these applications. With the different expecting on efficiency, security, usability, etc, different codes have been constructed for various purposes. The methods based on algebratheory can work well for constructing simple and usability codes. The theory of algebraic geometry can help construct more complex codes with different properties. With the applications of these codes, it is convenient to arrive the purpose in digital communications.
This paper presents a new method for solving a linear discrete-time finite horizon optimal control problem (FHOCP) with quadratic cost and linear constraints on the states and inputs. Such a FHOCP needs to be solved o...
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ISBN:
(纸本)9781424474264
This paper presents a new method for solving a linear discrete-time finite horizon optimal control problem (FHOCP) with quadratic cost and linear constraints on the states and inputs. Such a FHOCP needs to be solved online, at each sampling instant, in predictive control. In order to solve such a FHOCP, it is necessary to solve a quadratic programming (QP) problem. The proposed technique uses an inexact interior-point method (IIPM) to solve the QP problem. This new technique is computationally more efficient than the Riccati Recursion method of Rao, Wright and Rawlings (Journal of Optimization theory and applications, 1998), when measured in terms of the number of floating point operations. The computational advantage is obtained by the use of an inexact Newton method, and with the use of novel preconditioners in the minimum residual (MINRES) method. The computational performance of this method is demonstrated by numerical results.
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