Series representation of random mappings and their extension /

QR-kod

Series representation of random mappings and their extension /

Sparad:

Bibliografiska uppgifter
Huvudupphovsman:	Dang Hung Thang.
Övriga upphovsmän:	Tran Manh Cuong.
Materialtyp:	Artikel
Språk:	Vietnamese
Ämnen:	Bounded random operator Domain of extension Random operator
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Liknande verk

Random fixed point theorems for multivalued inward random operators on Banach spaces /
av: Beg, Ismat.

Random fixed point theory with applications /
av: O'regan, Donal.

Near-integrated random coefficient autoregressive time series /
av: Aue, Alexander.

Random matrix models and their applications /
Publicerad: (2001)

Random matrix models and their applications /
Publicerad: (2001)

The random neural network : A survey /
av: Timotheou, Stelios.

Markov random fields and their applications /
av: Kindermann, Ross, 1950-
Publicerad: (1980)

Correlated Random Systems: Five Different Methods: CIRM Jean-MorletChair, Spring 2013
av: Gayrard, Véronique, et al.
Publicerad: (2016)

Gaussian Markov random fields : theory and applications
av: Rue, Havard
Publicerad: (2005)

Intuitive Probability and Random Processes Using MATLAB
av: Kay, Steven M
Publicerad: (2006)

Probability, random variables, and Stochastic processes
av: Athanasios Papoulis
Publicerad: (1991)

Random House Webster’s Dictionary(Kèm theo CD)
av: House, Random
Publicerad: (2001)

On the rate of convergence of series of banach space valued random elements /
av: Rosalsky, Andrew.

Representation of solutions of linear functional difference equations in phase space /
av: Murakami, Satoru.

Stochastic processes and random vibrations
av: Soslnes, Júlíus
Publicerad: (1997)

Random House Webster’s Dictionary
av: House, Random
Publicerad: (2001)

Random responding as a threat to the validity of effect size estimates in correlational research /
av: Crede, Marcus.

Tối ưu hóa KPCA bằng GA để chọn các thuộc tính đặc trưng nhằm tăng hiệu quả phân lớp của thuật toán Random Forest
av: Nguy ễn Hà, Nam
Publicerad: (2014)

A truly random number generator based on a pulse-excited cross-coupled chaotic oscillator /
av: Ergun, Salih.

Parallel algorithms of random forests for classifying very large datasets /
av: Thanh Nghi Do.

Protein Homology Detection Through Alignment of Markov Random Fields
av: Xu, Jinbo, et al.
Publicerad: (2015)

Parallel algorithms of random forests for classifying very large datasets
av: Do, Thanh Nghi, et al.
Publicerad: (2014)

Weierstrass approximation theorem via random - sumapproach
av: Trần, Lộc Hùng
Publicerad: (2012)

Weierstrass approximation theorem via random-sum approach /
av: Trân Loc Hung.

Random dynamical systems :
av: Bhattacharya, R. N.
Publicerad: (2007)

Random dynamical systems /
av: Arnold, L. 1937-
Publicerad: (2003)

Random dynamical systems /
av: Arnold, L. 1937-
Publicerad: (2003)

Một số trò chơi may rủi dưới góc nhìn xác suất
av: Hồ, Thị Hồng Liên
Publicerad: (2024)

Stochastic linearizations based on random fields /
av: Reneke, James A.

A new type of limit theorems for the one-dimensional quantum random walk /
av: Konno, Norio.

Some spectral theory for nonlinear operators /
av: Appell, Jurgen.

The multilevel crossed random effects growth model for estimating teacher and school effects : Issues and extensions /
av: Palardy, Gregory J.

Levenberg-Marquardt training algorithms for random neural networks /

Complete convergence and the law of large numbers for arrays of random elements /
av: Hu, Tien-Chung.

A multifaceted sensitivity analysis of the Slovenian public opinion survey data /

Overcoming the multiple-testing problem when testing randomness /
av: Spencer, Neil H.

Agricultural extension :
Publicerad: (1988)

The probability of small schedule values and preference for random-interval schedules /
av: Soreth, Michelle Ennis.

Limit theorems for random degenerate diffusions /
av: Basak, Gopal K.

Network-based genomic discovery : Application and comparison of Markov random-field models /
av: Wei, Peng.