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Titlebook: Model Development and Optimization; Viktor V. Ivanov Book 1999 Springer Science+Business Media Dordrecht 1999 Mathematica.Notation.biology

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书目名称Model Development and Optimization
编辑Viktor V. Ivanov
视频video
丛书名称Applied Optimization
图书封面Titlebook: Model Development and Optimization;  Viktor V. Ivanov Book 1999 Springer Science+Business Media Dordrecht 1999 Mathematica.Notation.biology
描述At present, concerning intensive development of computer hardware and software, computer-based methods for modeling of difficult problems have become the main technique for theoretical and applied investigations. Many unsolved tasks for evolutionary systems (ES) are an important class of such problems. ES relate to economic systems on the whole and separate branches and businesses, scientific and art centers, ecological systems, populations, separate species of animals and plants, human organisms, different subsystems of organisms, cells of animals and plants, and soon. Available methods for modeling of complex systems have received considerable attention and led to significant results. No large-scale programs are done without methods of modeling today. Power programs, health programs, cosmos investigations, economy designs, etc. are a few examples of such programs. Nevertheless, in connection with the permanent complication of contemporary problems, existing means are in need of subsequent renovation and perfection. In the monograph, along with analysis of contemporary means, new classes of mathematical models (MM) which can be used for modeling in the most difficult cases are pro
出版日期Book 1999
关键词Mathematica; Notation; biology; conversion; ecology; modeling; network; numerical methods; optimization; simu
版次1
doihttps://doi.org/10.1007/978-1-4615-4062-5
isbn_softcover978-1-4613-6819-9
isbn_ebook978-1-4615-4062-5Series ISSN 1384-6485
issn_series 1384-6485
copyrightSpringer Science+Business Media Dordrecht 1999
The information of publication is updating

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Applied Optimizationhttp://image.papertrans.cn/m/image/635748.jpg
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Model Development and Optimization978-1-4615-4062-5Series ISSN 1384-6485
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1384-6485 monograph, along with analysis of contemporary means, new classes of mathematical models (MM) which can be used for modeling in the most difficult cases are pro978-1-4613-6819-9978-1-4615-4062-5Series ISSN 1384-6485
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Object Bounding Box-Aware Embedding for Point Cloud Instance Segmentationodule removes redundant boundary information. Comprehensive experiments on two popular benchmarks (S3DIS and ScanNetV2) show the effectiveness of our method. Our method achieves the State-of-the-art instance segmentation performance on S3DIS benchmark.
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