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Research Topic : Copy Number Variations
Field of Research : Optimisation
Australian State/Territory : SA
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Numerical and Computational Mathematics (2)
Optimisation (2)
Calculus Of Variations And Control Theory (1)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0451168

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    A comparative study of generalised solution concepts for elliptic partial differential equations using nonsmooth analysis techniques. The solution of ellpitic partial differential equations is central to science and engineering. There are a number of solution concepts, such as those of weak solutions and viscosity solutions, but the relations between these are incompletely understood. We shall investigate this major question using recent advances in optimisation theory and nonsmooth analysis. .... A comparative study of generalised solution concepts for elliptic partial differential equations using nonsmooth analysis techniques. The solution of ellpitic partial differential equations is central to science and engineering. There are a number of solution concepts, such as those of weak solutions and viscosity solutions, but the relations between these are incompletely understood. We shall investigate this major question using recent advances in optimisation theory and nonsmooth analysis. Our approach is to use various approximations and their associated second-order subdifferentials, each of which implies a generalised solution concept and associated abstract convexity. Particular attention, including computational details, will be given to equations which have very different solutions of one type from those of another.
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    Funded Activity

    Discovery Projects - Grant ID: DP120100567

    Funder
    Australian Research Council
    Funding Amount
    $390,000.00
    Summary
    Structured barrier and penalty functions in infinite dimensional optimisation and analysis. Very large scale tightly-constrained optimisation problems are ubiquitous and include water management, traffic flow, and imaging at telescopes and hospitals. Massively parallel computers can solve such problems and provide physically realisable solution only if subtle design issues are mastered. Resolving such issues is the goal of this project.
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    Showing 1-2 of 2 Funded Activites

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