Sökning: "Natural Sciences Mathematics Computational Mathematics"

Visar resultat 1 - 5 av 747 avhandlingar innehållade orden Natural Sciences Mathematics Computational Mathematics.

  1. 1. Mathematical Multi-Objective Optimization of the Tactical Allocation of Machining Resources in Functional Workshops

    Författare :Sunney Fotedar; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Decision-making; Robust efficient solutions; Discrete bi-objective optimization; Capacity planning; Discrete tri-objective optimization; Production planning; Coverage gap;

    Sammanfattning : In the aerospace industry, efficient management of machining capacity is crucial to meet the required service levels to customers and to maintain control of the tied-up working capital. We introduce new multi-item , multi-level capacitated resource allocation models with a medium--to--long--term planning horizon. LÄS MER

  3. 2. Vector-valued Eisenstein series of congruence types and their products

    Författare :Jiacheng Xia; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Hecke operator; Fourier expansion of modular forms; congruence type; products of Eisenstein series; vector-valued modular forms;

    Sammanfattning : Historically, Kohnen and Zagier connected modular forms with period polynomials, and as a consequence of this association concluded that the products of at most two Eisenstein series span all spaces of classical modular forms of level 1. Later Borisov and Gunnells among other authors extended the result to higher levels. LÄS MER

  4. 3. Inference of Hierarchical Structure in Complex Systems

    Författare :Olof Görnerup; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Protein evolution; Substitution groups; Modularity; Hierarchical dynamics; RNA world; Genetic code; Aggregation; Primordial evolution; Molecular evolution; Model reduction; Self-organization; Lumping; Emergence; Coarse graining;

    Sammanfattning : Hierarchical organization is a central property of complex systems. It is even argued that a system is required to be hierarchical in order to evolve complexity within reasonable time. A hierarchy of a system is defined as the set of self-contained levels at which the system operates and can be described on. LÄS MER

  5. 4. Mathematical Modelling of Cell Migration and Polarization

    Författare :Adam Malik; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Cell migration plays a fundamental role in both development and disease. It is a complex process during which cells interact with one another and with their local environment. Mathematical modelling offers tools to investigate such processes and can give insights into the underlying biological details, and can also guide new experiments. LÄS MER

  7. 5. Kinetic Models in Life Science — Contributions to Methods and Applications

    Författare :Joachim Almquist; Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik (FCC); []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NLME modeling; kinetic models; FOCE; Mig1; cell-to-cell variability; pharmacokinetics; parameter estimation; ticagrelor; atrial fibrillation; Kv1.5;

    Sammanfattning : Kinetic models in life science combine mathematics and biology to answer questions from areas such as cell biology, physiology, biotechnology, and drug development. The idea of kinetic models is to represent a biological system by a number of biochemical reactions together with mathematical expressions for the reaction kinetics, i.e. LÄS MER