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Symmetry in the Mathematical Inequalities
| Symmetry in the Mathematical Inequalities |
| Autore | Minculete Nicusor |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (276 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
Ostrowski inequality
Hölder's inequality power mean integral inequality n-polynomial exponentially s-convex function weight coefficient Euler-Maclaurin summation formula Abel's partial summation formula half-discrete Hilbert-type inequality upper limit function Hermite-Hadamard inequality (p, q)-calculus convex functions trapezoid-type inequality fractional integrals functions of bounded variations (p,q)-integral post quantum calculus convex function a priori bounds 2D primitive equations continuous dependence heat source Jensen functional A-G-H inequalities global bounds power means Simpson-type inequalities thermoelastic plate Phragmén-Lindelöf alternative Saint-Venant principle biharmonic equation symmetric function Schur-convexity inequality special means Shannon entropy Tsallis entropy Fermi-Dirac entropy Bose-Einstein entropy arithmetic mean geometric mean Young's inequality Simpson's inequalities post-quantum calculus spatial decay estimates Brinkman equations midpoint and trapezoidal inequality Simpson's inequality harmonically convex functions Simpson inequality (n,m)-generalized convexity |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576872203321 |
Minculete Nicusor
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Uncertainty Quantification Techniques in Statistics
| Uncertainty Quantification Techniques in Statistics |
| Autore | Kim Jong-Min |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (128 p.) |
| Soggetto non controllato |
Kullback–Leibler divergence
geometric distribution accuracy AUROC allele read counts mixture model low-coverage entropy gene-expression data SCAD data envelopment analysis LASSO high-throughput sandwich variance estimator adaptive lasso semiparametric regression ?1 lasso Laplacian matrix elastic net feature selection sea surface temperature gene expression data Skew-Reflected-Gompertz distribution lasso next-generation sequencing BH-FDR stochastic frontier model ?2 ridge geometric mean resampling Gompertz distribution adapative lasso group efficiency comparison sensitive attribute MCP probability proportional to size (PPS) sampling randomization device SIS Yennum et al.’s model ensembles |
| ISBN | 3-03928-547-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404091103321 |
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Kim Jong-Min
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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