Results 281 to 290 of about 4,790,611 (321)
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1998
Let \(K\) be a field complete with respect to some valuation 1.1 and let \(E=(E,\|\cdot \|)\) be a \(K\)-Banach space. \(K\)-Banach spaces \(E\) such that for each closed subspace \(D\) there exists a linear surjective projection \(P:E\to D\) satisfying \(\| Px\|\leq\| x\|\) for all \(x\in E\) are called norm Hilbert spaces (NHS). The authors introduce
Ochsenius, H., Schikhof, W.H.
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Let \(K\) be a field complete with respect to some valuation 1.1 and let \(E=(E,\|\cdot \|)\) be a \(K\)-Banach space. \(K\)-Banach spaces \(E\) such that for each closed subspace \(D\) there exists a linear surjective projection \(P:E\to D\) satisfying \(\| Px\|\leq\| x\|\) for all \(x\in E\) are called norm Hilbert spaces (NHS). The authors introduce
Ochsenius, H., Schikhof, W.H.
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Results in Mathematics, 2015
In this paper, we consider a class of fractional integro-differential inclusions in Hilbert spaces. This paper deals with the approximate controllability for a class of fractional integro-differential control systems.
N. Mahmudov +3 more
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In this paper, we consider a class of fractional integro-differential inclusions in Hilbert spaces. This paper deals with the approximate controllability for a class of fractional integro-differential control systems.
N. Mahmudov +3 more
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2023
AbstractThis chapter explores the basics of Hilbert spaces by using n-dimensional Euclidean space, he space of square-summable complex sequences, and the space of square-integrable, complex-valued Lebesgue-measurable function as examples. In addition, this chapter covers the Cauchy–Schwarz and triangle inequalities, orthonormal bases, and orthogonal ...
Stephan Ramon Garcia +2 more
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AbstractThis chapter explores the basics of Hilbert spaces by using n-dimensional Euclidean space, he space of square-summable complex sequences, and the space of square-integrable, complex-valued Lebesgue-measurable function as examples. In addition, this chapter covers the Cauchy–Schwarz and triangle inequalities, orthonormal bases, and orthogonal ...
Stephan Ramon Garcia +2 more
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Discrete reproducing kernel Hilbert spaces: sampling and distribution of Dirac-masses
Journal of machine learning research, 2015We study reproducing kernels, and associated reproducing kernel Hilbert spaces (RKHSs) $\mathscr{H}$ over infinite, discrete and countable sets $V$. In this setting we analyze in detail the distributions of the corresponding Dirac point-masses of $V ...
P. Jorgensen, Feng Tian
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The split feasibility problem with multiple output sets in Hilbert spaces
Optimization Letters, 2020S. Reich +2 more
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Inertial relaxed CQ algorithms for solving a split feasibility problem in Hilbert spaces
Numerical Algorithms, 2020D. R. Sahu +4 more
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1993
Professor Retherford's aim in this book is to provide the reader with a virtually self-contained treatment of Hilbert space theory, leading to an elementary proof of the Lidskij trace theorem. He assumes the reader is familiar with only linear algebra and advanced calculus, and develops everything needed to introduce the ideas of compact, self-adjoint,
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Professor Retherford's aim in this book is to provide the reader with a virtually self-contained treatment of Hilbert space theory, leading to an elementary proof of the Lidskij trace theorem. He assumes the reader is familiar with only linear algebra and advanced calculus, and develops everything needed to introduce the ideas of compact, self-adjoint,
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An optimization approach to solving the split feasibility problem in Hilbert spaces
Journal of Global Optimization, 2020S. Reich +2 more
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An Introduction to the Theory of Reproducing Kernel Hilbert Spaces
, 2016V. Paulsen, M. Raghupathi
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Reproducing kernel Hilbert spaces in probability and statistics
, 2004A. Berlinet, C. Thomas-Agnan
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