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Corrigendum to "The Lasting Effect of the Romantic View of Nature: How It Influences Perceptions of Risk and the Support of Symbolic Actions Against Climate Change" (Risk Analysis, 2025; 45: 1399-1409). [PDF]
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2009 30th IEEE Real-Time Systems Symposium, 2009
A key feature of control systems is robustness, the property that small perturbations in the system inputs cause only small changes in its outputs. Robustness is key to designing systems that work under uncertain or imprecise environments. While continuous control design algorithms can explicitly incorporate robustness as a design goal, it is not clear
Rupak Majumdar, Indranil Saha 0001
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A key feature of control systems is robustness, the property that small perturbations in the system inputs cause only small changes in its outputs. Robustness is key to designing systems that work under uncertain or imprecise environments. While continuous control design algorithms can explicitly incorporate robustness as a design goal, it is not clear
Rupak Majumdar, Indranil Saha 0001
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Symbolic kernel discriminant analysis
Computational Statistics, 1998Kernel density estimation is a tool which allows the statistician to construct a density on any sample of data without any prior probabilistic hypothesis. These methods compute a weighted sum of kernels centered on each data point. Examples of kernel density estimations are to be found essentially for quantitative (discrete or continuous) and ...
Rasson, Jean-Paul, Lissoir, Sandrine
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Symbolic Evaluation and the Analysis of Programs
IEEE Transactions on Software Engineering, 1979Symbolic evaluation is a form of static program analysis in which symbolic expressions are used to denote the values of program variables and computations. It does not require the user to specify which path at a conditional branch to follow nor how many cycles of a loop to consider.
Thomas E. Cheatham Jr. +2 more
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Symbolic Vector and Dyadic Analysis
SIAM Journal on Computing, 1979A computer program is described which performs symbolic algebra and calculus with vectors and dyadics. Implemented on the MACSYMA algebraic manipulation system, it is intended to be a reasonably complete analysis system for applications such as plasma physics and fluid dynamics. It includes manipulations of dot and cross products; gradient, divergence,
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Applications of symbolic network analysis
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 2002Symbolic network analysis is a formal technique, complementary to numerical analysis, to calculate the behaviour or a characteristic of a circuit with independent variable frequency, dependent variables voltages and currents and some or all of the circuit elements represented by symbols.
Marina Dana Topa, Emil Simion
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Function evaluation in symbolic analysis
Proceedings of ISCAS'95 - International Symposium on Circuits and Systems, 2002Different types of applications of symbolic analysis in circuit design are considered regarding the most adequate form of symbolic results storage and manipulation. Different mathematical procedures are examined as a function of their efficiency. Polynomial and non-polynomial admittances are considered. Hierarchical and direct approaches are compared.
Agnieszka Konczykowska +1 more
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Symbolic analysis of linear polyhedra
Engineering with Computers, 1990This paper concerns several analytical problems related to linear polyhedra in euclidean three-dimensional-space. Symbolic formulas for line, surface, and volume integration are given, and it is shown that domain integrals are computable in polynomial time.
CATTANI, Carlo, Alberto Paoluzzi
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Symbolic Objects and Symbolic Data Analysis
2005Today’s technology allows storing vast quantities of information from different sources in nature. This information has missing values, nulls, internal variation, taxonomies, and rules. We need a new type of data that allow us to represent the complexity of reality, maintaining the internal variation and structure (Bock & Diday, 2000; Diday, 2002 ...
Héctor Oscar Nigro +1 more
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