Generalized block Lanczos methods for large unsymmetric eigenproblems

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Jia, Zhongxiao. “Generalized Block Lanczos Methods for Large Unsymmetric Eigenproblems”. Numerische Mathematik, vol. 80, no. 2, 1998, pp. 239-66, https://doi.org/10.1007/s002110050367.
Jia, Z. (1998). Generalized block Lanczos methods for large unsymmetric eigenproblems. Numerische Mathematik, 80(2), 239-266. https://doi.org/10.1007/s002110050367
Jia Z. Generalized block Lanczos methods for large unsymmetric eigenproblems. Numerische Mathematik. 1998;80(2):239-66.
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Citations Analysis
Category Category Repetition
Science: Mathematics15
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods13
Technology: Engineering (General). Civil engineering (General)2
Technology: Technology (General): Industrial engineering. Management engineering1
Science: Science (General)1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Science: Physics1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
The category Science: Mathematics 15 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Composite orthogonal projection methods for large matrix eigenproblems and was published in 1989. The most recent citation comes from a 2019 study titled Thick-restart block Lanczos method for large-scale shell-model calculations. This article reached its peak citation in 2010, with 2 citations. It has been cited in 13 different journals. Among related journals, the Linear Algebra and its Applications cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
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