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State-Space Methods for Control Systems
IEEE Transactions on Systems, Man, and Cybernetics, 1979F. Csaki, R. Bars
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Extended state-space Monte Carlo methods
Physical Review E, 2001In this paper various extensions of the parallel-tempering algorithm are developed and their properties are analyzed. The algorithms are designed to alleviate quasiergodic sampling in systems which have rough energy landscapes by coupling individual Monte Carlo chains to form a composite chain.
S B, Opps, J, Schofield
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Probabilistic Methods in State Space Analysis
2004Several methods have been developed to validate the correctness and performance of hard- and software systems. One way to do this is to model the system and carry out a state space exploration in order to detect all possible states. In this paper, a survey of existing probabilistic state space exploration methods is given.
Matthias Kuntz, Kai Lampka
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The state space method and factorization
2010This chapter describes in detail the elements of the state space method that are used throughout this book. The central notion is that of a realization of a matrix or operator function. The chapter consists of six sections. Section 2.1 presents preliminaries on realization, including the relevant definitions and the connection with systems theory.
Harm Bart +2 more
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State space Newton’s method for topology optimization
Computer Methods in Applied Mechanics and Engineering, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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