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Rocking incremental dynamic analysis
Earthquake Engineering & Structural Dynamics, 2021AbstractThe seismic response assessment of rocking systems via Incremental Dynamic Analysis (IDA) is investigated, focusing on the issues that arise in the analysis and postprocessing stages. Rocking IDA curves generally differ from those of hysteretic structural systems due to (i) the frequent appearance of resurrections; (ii) their highly weaving non‐
Lachanas, Christos G. +1 more
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Earthquake Engineering & Structural Dynamics, 2001
AbstractIncremental dynamic analysis (IDA) is a parametric analysis method that has recently emerged in several different forms to estimate more thoroughly structural performance under seismic loads. It involves subjecting a structural model to one (or more) ground motion record(s), each scaled to multiple levels of intensity, thus producing one (or ...
Dimitrios Vamvatsikos, C. Allin Cornell
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AbstractIncremental dynamic analysis (IDA) is a parametric analysis method that has recently emerged in several different forms to estimate more thoroughly structural performance under seismic loads. It involves subjecting a structural model to one (or more) ground motion record(s), each scaled to multiple levels of intensity, thus producing one (or ...
Dimitrios Vamvatsikos, C. Allin Cornell
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ACM Transactions on Knowledge Discovery from Data, 2008
How do we find patterns in author-keyword associations, evolving over time? Or in data cubes (tensors), with product-branchcustomer sales information? And more generally, how to summarize high-order data cubes (tensors)? How to incrementally update these patterns over time?
Jimeng Sun +4 more
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How do we find patterns in author-keyword associations, evolving over time? Or in data cubes (tensors), with product-branchcustomer sales information? And more generally, how to summarize high-order data cubes (tensors)? How to incrementally update these patterns over time?
Jimeng Sun +4 more
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Incremental data-flow analysis algorithms
ACM Transactions on Programming Languages and Systems, 1988An incremental update algorithm modifies the solution of a problem that has been changed, rather than re-solving the entire problem. ACINCF and ACINCB are incremental update algorithms for forward and backward data-flow analysis, respectively, based on our equations model of Allen-Cocke interval analysis. In addition, we have studied their
Paull, Marvin C., Ryder, Barbara G.
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Incremental Kernel Principal Component Analysis
IEEE Transactions on Image Processing, 2007The kernel principal component analysis (KPCA) has been applied in numerous image-related machine learning applications and it has exhibited superior performance over previous approaches, such as PCA. However, the standard implementation of KPCA scales badly with the problem size, making computations for large problems infeasible.
Chin, T., Suter, D.
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Incremental reflexion analysis
Journal of Software: Evolution and Process, 2010SUMMARYArchitecture conformance checking is implemented in many commercial and research tools. These tools typically implement the reflexion analysis originally proposed by Murphy, Notkin, and Sullivan. This analysis allows for structural validation of an architecture model against a source model connected by a mapping from source entities onto ...
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Commit-time incremental analysis
Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis, 2019Most changes to large systems that have been deployed are quite small compared to the size of the entire system. While standard summary-based analyses reduce the code that is reanalysed, they, nevertheless, analyse code that is not changed. For example, a backward summary-based analysis, will examine all the callers of the changed code even if the ...
Padmanabhan Krishnan +3 more
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Class-Incremental Generalized Discriminant Analysis
Neural Computation, 2006Generalized discriminant analysis (GDA) is the nonlinear extension of the classical linear discriminant analysis (LDA) via the kernel trick. Mathematically, GDA aims to solve a generalized eigenequation problem, which is always implemented by the use of singular value decomposition (SVD) in the previously proposed GDA algorithms.
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Distributed Incremental Graph Analysis
2016 IEEE International Congress on Big Data (BigData Congress), 2016Distributed frameworks, such as MapReduce and Spark, have been developed by industry and research groups to analyze the vast amount of data that is being generated on a daily basis. Many graphs of interest, such as the Web graph and Social Networks, increase their size daily at an unprecedented scale and rate.
Upa Gupta, Leonidas Fegaras
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Incremental data dependence analysis
Proceedings of 3rd International Conference on High Performance Computing (HiPC), 2002Under the existing framework for dependence analysis, every time a program is modified, exhaustive reanalysis has to be carried out to restructure the program. Often the changes in the program may be limited to a small portion. This may not affect a major part of the value based dependences.
K.V. Praveen, S.K. Aggarwal, R.K. Ghosh
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