Search for dissertations about: "Mathematical programming"

Showing result 1 - 5 of 121 swedish dissertations containing the words Mathematical programming.

  1. 1. Designing for the incorporation of programming in mathematical education : Programming as an instrument for mathematical problem solving

    Author : Andreas Borg; Kenneth Ruthven; Maria Fahlgren; Chantal Buteau; Karlstads universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Mathematics; math; upper secondary; problem solving; programming; coding; instrument; instrumental genesis; education; mathematics education; scheme; matematik; skola; utbildning; problemlösning; programmering; kodning; instrument; instrumental genes; utbildning; matematikdidaktik; schema; Pedagogiskt arbete; Educational Work; Matematikdidaktik; Mathematics didactics;

    Abstract : This study explored Swedish upper secondary school students’ use of programming for mathematical purposes. The aim of the study was to investigate the process through which students learn how to use a programming environment as a technical artefact during mathematical problem solving and how the orchestration of such learning situations could facilitate this process. READ MORE

  2. 2. Mathematical programming for optimal probability weighting

    Author : Michele Santacatterina; Karolinska Institutet; Karolinska Institutet; []
    Keywords : ;

    Abstract : In spite of the fact that probability weighting is widely used in statistics to correct for unequal sampling, control for confounding, and handle missing data, it has two main limitations. First, statistical inferences may be inefficient in the presence of extreme probability weights. READ MORE

  3. 3. Approximation of Infinitely Divisible Random Variables with Application to the Simulation of Stochastic Processes

    Author : Magnus Wiktorsson; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; operations research; Statistics; aktuariematematik; Stochastic differential equation; Infinitely divisible distribution; Type G distribution; Lévy process; Stochastic integral; Mathematical Statistics; Matematik; Mathematics; programming; actuarial mathematics; Statistik; operationsanalys; programmering;

    Abstract : This thesis consists of four papers A, B, C and D. Paper A and B treats the simulation of stochastic differential equations (SDEs). The research presented therein was triggered by the fact that there were not any efficient implementations of the higher order methods for simulating SDEs. READ MORE

  4. 4. Methods and Applications in Integer Programming : All-Integer Column Generation and Nurse Scheduling

    Author : Elina Rönnberg; Torbjörn Larsson; Fredrik Altenstedt; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; integer programming; column generation; set partitioning problems; quasi-integrality; nurse scheduling; Optimization; systems theory; Optimeringslära; systemteori;

    Abstract : Integer programming can be used to provide solutionsto complex decision and planning problems occurring in a wide varietyof situations. Applying integer programming to a real life problembasically involves a first phase where a mathematical model isconstructed, and a second phase where the problem described by themodel is solved. READ MORE

  5. 5. Stochastic Modeling and Optimization under Uncertainty of a Hydro Power System

    Author : Roger Halldin; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Statistik; actuarial mathematics; programming; operations research; Statistics; energy derivatives; multistage stochastic programs; electricity prices; principal component analysis; Scenario trees; inflow modeling; operationsanalys; programmering; aktuariematematik;

    Abstract : Electricity bought and sold on the deregulated Nordic power market is dominated by hydro power. However, hydro power generation is restricted by the amount of water in reservoirs. The inflows to these reservoirs show a yearly cycle and seasonal planning of the production is necessary. Seasonal planning up to 1. READ MORE