Sökning: "MEM"
Visar resultat 1 - 5 av 13 avhandlingar innehållade ordet MEM.
1. Studies of inorganic crystal structures and gas adsorption process in mesoporous crystals : New approach through analysis of electron charge distribution by synchrotron powder X-ray diffraction
Sammanfattning : Using synchrotron powder XRD experiments, I studied (i) structures of silica mesoporous MCM-41 and MCM-48 crystals, (ii) gas adsorption processes of Ar and N2 in the mesopores of the mesoporous crystals, and (iii) bonding features of CaAl2-xZnx crystals through the analysis of electron charge density distributions. In the case of mesoporous crystals, the following two different approaches were taken depending on the number of observed X-ray reflections1. LÄS MER
2. Refutationis commenti de gladio GI. mem. regis Svecorum &c. Gvstavi II. magico, pars prior, quam consentiente ampliss. facultate philosoph. praeside Georgio Wallin, ... in auditorio Gvstaviano majori, die VII. Decemb. MDCCXXVIII. publico examini sistit alumnus regius Daniel Salin, jon. fil. Jemtius
Sammanfattning : .... LÄS MER
3. Studies of distributions in physics using maximum entropy and scaling methods
Sammanfattning : The maximum entropy method (MEM) is applied in the analysis of equilibrium systems. Some general properties of the MEM and how to choose constraints as well as moments are discussed. A numerically stable algorithm is developed and implemented. Distributions arising from physical processes are studied. LÄS MER
4. Quantifying ecological resilience in lakes – bridging theory and management
Sammanfattning : Ecological resilience, defined as the capacity of an ecosystem to withstand disturbances without losing original structures, processes and functions, has remained elusive and challenging to quantify. In this thesis, two methods were used to assess the resilience of aquatic communities to different stressors and management practices. LÄS MER
5. On particle-based online smoothing and parameter inference in general state-space models
Sammanfattning : This thesis consists of 4 papers, presented in Paper A-D, on particle- based online smoothing and parameter inference in general state-space hidden Markov models.In Paper A a novel algorithm, the particle-based, rapid incremental smoother (PaRIS), aimed at efficiently performing online approxima- tion of smoothed expectations of additive state functionals in general hidden Markov models, is presented. LÄS MER