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Titlebook: Infinite Interval Problems for Differential, Difference and Integral Equations; Ravi P. Agarwal,Donal O’Regan Book 2001 Springer Science+B

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发表于 2025-3-21 19:08:17 | 显示全部楼层 |阅读模式
书目名称Infinite Interval Problems for Differential, Difference and Integral Equations
编辑Ravi P. Agarwal,Donal O’Regan
视频video
图书封面Titlebook: Infinite Interval Problems for Differential, Difference and Integral Equations;  Ravi P. Agarwal,Donal O’Regan Book 2001 Springer Science+B
描述Infinite interval problems abound in nature and yet until now there has been no book dealing with such problems. The main reason for this seems to be that until the 1970‘s for the infinite interval problem all the theoretical results available required rather technical hypotheses and were applicable only to narrowly defined classes of problems. Thus scientists mainly offer~d and used special devices to construct the numerical solution assuming tacitly the existence of a solution. In recent years a mixture of classical analysis and modern fixed point theory has been employed to study the existence of solutions to infinite interval problems. This has resulted in widely applicable results. This monograph is a cumulation mainly of the authors‘ research over a period of more than ten years and offers easily verifiable existence criteria for differential, difference and integral equations over the infinite interval. An important feature of this monograph is that we illustrate almost all the results with examples. The plan of this monograph is as follows. In Chapter 1 we present the existence theory for second order boundary value problems on infinite intervals. We begin with several exam
出版日期Book 2001
关键词Boundary value problem; DEX; Finite; Integral equation; banach spaces; development; eXist; equation; integra
版次1
doihttps://doi.org/10.1007/978-94-010-0718-4
isbn_softcover978-94-010-3834-8
isbn_ebook978-94-010-0718-4
copyrightSpringer Science+Business Media Dordrecht 2001
The information of publication is updating

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发表于 2025-3-21 22:41:07 | 显示全部楼层
tions over the infinite interval. An important feature of this monograph is that we illustrate almost all the results with examples. The plan of this monograph is as follows. In Chapter 1 we present the existence theory for second order boundary value problems on infinite intervals. We begin with several exam978-94-010-3834-8978-94-010-0718-4
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Continuous Systems,ution satisfying (3.1.2). Finally, in Section 3.5 we establish existence theory for the system (3.1.1) with . ≡ 0 i.e. . together with the boundary conditions . where . is a nonlinear operator mapping .[0, ∞) (or a subspace of .[0, ∞)) into ℝ..
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bought. Typically, several products are bought at the same day and thus, we have per user a sequences of sets (=baskets/ shopping carts). The Markov chain assumption is now that the next action (=shopping cart) of the user depends only on a few of his previous ones.
发表于 2025-3-22 12:44:55 | 显示全部楼层
Ravi P. Agarwal,Donal O’Regan bought. Typically, several products are bought at the same day and thus, we have per user a sequences of sets (=baskets/ shopping carts). The Markov chain assumption is now that the next action (=shopping cart) of the user depends only on a few of his previous ones.
发表于 2025-3-22 14:32:49 | 显示全部楼层
Ravi P. Agarwal,Donal O’Regans is the Movielens dataset, a web-based film recommender system, and an important data source for evaluating the studies, with 100,000 samples, including ratings from 943 users for 1,664 movies. The results show that the recommender system with a balltree-based similarity metric can improve the accu
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Ravi P. Agarwal,Donal O’Regand solution focuses on controlling all interactions and transactions between all involved participants in the production process, all transactions are recorded and stored in the ledger (immutability) of the blockchain. The experimental results are the transactions, all transactions are recorded and s
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Ravi P. Agarwal,Donal O’Reganon through an unsupervised learning task and feeds the extracted data into LSTM-based forecaster. The experimental results on seven datasets including both synthetic and real-world chaotic time series reveal that our proposed method outperforms other forecasting methods using only stacked autoencode
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