Results 161 to 170 of about 217,202 (282)

Finite Biorthogonal Polynomials Suggested by the Finite Orthogonal Polynomials Mnp,qx$$ {M}_n^{\left(p,q\right)}(x) $$

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Constructing a biorthogonal structure from scratch, that is, defining a biorthogonal pair is quite tough. Because here the orthogonality must be established between two different sets. There are four known univariate biorthogonal polynomial sets, suggested by Laguerre, Jacobi, Hermite and Szegő‐Hermite polynomials, in the literature.
Esra Güldoğan Lekesiz
wiley   +1 more source

On Laplace's Integral Equations [PDF]

open access: yesTransactions of the American Mathematical Society, 1926
openaire   +1 more source

Microencapsulated Alkane Wax Melting: Measured by 1$$ {}^1 $$H NMR Relaxometry and Diffusometry

open access: yesMagnetic Resonance in Chemistry, EarlyView.
NMR relaxometry and diffusometry measurements detected greater molecular‐level disordering in microencapsulated n‐alkane waxes versus unencapsulated waxes throughout melting. ABSTRACT Phase change materials (PCMs) are useful for energy storage. Large latent heats make n‐alkane waxes effective PCMs.
Matthew C. Young   +5 more
wiley   +1 more source

Physiological Interpretation of the Lactate to Pyruvate AUC Ratio for Hyperpolarized [1‐13C]‐Pyruvate Studies

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To explore the relationship between potentially rate‐limiting steps in lactate production and the lactate area‐under‐the‐curve (AUC) to pyruvate AUC ratio for analysis of hyperpolarized (HP) [1‐13C]‐pyruvate data. Theory and Methods Simplifying assumptions are introduced to a pharmacokinetic (PK) model with three physical compartments ...
Ryan T. Boyce   +6 more
wiley   +1 more source

Personalized Differential Privacy for Ridge Regression Under Output Perturbation

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT The increased application of machine learning (ML) in sensitive domains requires protecting the training data through privacy frameworks, such as differential privacy (DP). Traditional DP enforces a uniform privacy level ε$$ \varepsilon $$, which bounds the maximum privacy loss that each data point in the dataset is allowed to incur.
Krishna Acharya   +3 more
wiley   +1 more source

Exact Response Theory for Delay Equations. [PDF]

open access: yesEntropy (Basel)
Gollinucci F, Ortu E, Rondoni L.
europepmc   +1 more source

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