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Thomas F. Coleman
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Research ProgramMy research program is concerned with the design and understanding of practical and efficient numerical algorithms for continuous optimization problems. My primary interest is the development of computational methods and tools for compute-intensive and challenging problems with emphasis on applications and computing methodologies such as automatic differentiation and cluster computing technologies. Application areas include structural design, datamining, logistics and planning, protein structure, medical imaging and informatics, finance and risk-management. Research ProjectsGlobal (and local) optimization with applications Cluster computing for optimization solutions Automatic differentiation technologies Risk minimization with applications, computational finance Large-scale and sparse optimization Practical optimization and industrial logistics |