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Large-eddy simulations with a transported probability density function model coupled with a finite-rate chemistry is applied to study the ignition process of an n-heptane spray in a constant volume chamber with a premixed methanol-air atmosphere under conditions relevant to reactivity controlled compression ignition (RCCI) engines. Three reacting spray cases with initial methanol-air equivalence r

Numerisk strömningsmekanik är en kraftfull metod för att förstå flödet och förbränningen som sker i flygplansmotorer och kommer att vara ett avgörande verktyg i övergången från konventionella fossila bränslen till hållbara alternativ. Eftersom mer forskning har skett kring konventionella bränslen bör en simuleringsmetod för alternativa bränslen föregås av en metod som verklighetstroget kan simulerComputational fluid dynamics is a powerful method for understanding the flow and combustion that occurs inside aircraft engines and will be a key tool in the transition from conventional fossil-based fuel to sustainable alternatives. Because conventional fuels have been more widely researched, an attempt at simulating the combustion of alternative fuels should be preceded by the development of a m

https://www.ht.lu.se/en/series/529905/ - 2026-06-04

https://www.ht.lu.se/en/series/9831683/ - 2026-06-04

https://www.ht.lu.se/en/series/9869264/ - 2026-06-04

https://www.ht.lu.se/en/series/9681421/ - 2026-06-04

https://www.lth.se/fileadmin/cee/genombrottet/konferens2025/A2_Le.pdf - 2026-06-05

https://www.maths.lu.se/fileadmin/maths/matematisk_statistik/FMSN30_FMSN40_MASM22/lecture_09_vt26.pdf - 2026-05-09

MASM22/FMSN30/FMSN30F: Linear and Logistic Regression, 7.5hp FMSN40: … with Data Gathering, 9hp - Lecture 8, spring 2026 Multiple logistic regression, Likelihood ratio test, influence, residuals, variable selection Multiple logistic regression loglike Validation Comparison MASM22/FMSN30/FMSN30F: Linear and Logistic Regression, 7.5 hp FMSN40: . . . with Data Gathering, 9 hp Lecture 8, spring 2026 M

https://www.maths.lu.se/fileadmin/maths/matematisk_statistik/FMSN30_FMSN40_MASM22/lecture_08_vt26.pdf - 2026-05-09

MASM22/FMSN3/FMSN30F0: Linear and Logistic Regression, 7.5hp FMSN40: … with Data Gathering, 9hp - Lecture 11, spring 2026 Multinomial and Ordinal logistic regression Quantile regression Categorical Y Multinomial Ordinal Distr.free MASM22/FMSN3/FMSN30F0: Linear and Logistic Regression, 7.5 hp FMSN40: . . . with Data Gathering, 9 hp Lecture 11, spring 2026 Multinomial and Ordinal logistic regression

https://www.maths.lu.se/fileadmin/maths/matematisk_statistik/FMSN30_FMSN40_MASM22/lecture_11_vt26.pdf - 2026-05-09

MASM22/FMSN30/FMSN30F: Linear and Logistic Regression, 7.5hp FMSN40: … with Data Gathering, 9hp - Lecture 7, spring 2026 Logistic regression: Probabilities, odds and odds ratios, Maximum-likelihood estimates, Wald test Introduction Logistic Maximum likelihood Properties MASM22/FMSN30/FMSN30F: Linear and Logistic Regression, 7.5 hp FMSN40: . . . with Data Gathering, 9 hp Lecture 7, spring 2026 Logi

https://www.maths.lu.se/fileadmin/maths/matematisk_statistik/FMSN30_FMSN40_MASM22/lecture_07_vt26.pdf - 2026-05-09

MASM22/FMSN30/FMSN30F: Linear and Logistic Regression, 7.5hp FMSN40: … with Data Gathering, 9hp - Lecture 10, spring 2026 Generalized linear models GLM Poisson Negative binomial MASM22/FMSN30/FMSN30F: Linear and Logistic Regression, 7.5 hp FMSN40: . . . with Data Gathering, 9 hp Lecture 10, spring 2026 Generalized linear models Mathematical Statistics / Centre for Mathematical Sciences Lund Univer

https://www.maths.lu.se/fileadmin/maths/matematisk_statistik/FMSN30_FMSN40_MASM22/lecture_10_vt26.pdf - 2026-05-09