Sökning: "gradient estimate"
Visar resultat 1 - 5 av 74 avhandlingar innehållade orden gradient estimate.
1. New Techniques for Estimation of Source Parameters : Applications to Airborne Gravity and Pseudo-Gravity Gradient Tensors
Sammanfattning : Gravity gradient tensor (GGT) data contains the second derivatives of the Earth’s gravitational potential in three orthogonal directions. GGT data can be measured either using land, airborne, marine or space platforms. LÄS MER
2. Microbial Ecosystem Functions Along the Steep Oxygen Gradient of the Landsort Deep, Baltic Sea
Sammanfattning : Through complex metabolic interactions aquatic microbial life is essential as a driver of ecosystem functions and hence a prerequisite for sustaining plant and animal life in the sea and on Earth. Despite its ecological importance, information on the complexity of microbial functions and how these are related to environmental conditions is limited. LÄS MER
3. Boundary Behavior of p-Laplace Type Equations
Sammanfattning : This thesis consists of six scientific papers, an introduction and a summary. All six papers concern the boundary behavior of non-negative solutions to partial differential equations.Paper I concerns solutions to certain p-Laplace type operators with variable coefficients. LÄS MER
4. Hardening of Carbon Steel by Water Impinging Jet Quenching Technique : Differential Cooling of Steel Sheets and Quenching of Cylindrical Bars
Sammanfattning : Austenitization followed by quenching is a well-known conventional heat-treating procedure which is widely used on carbon steels with the aim to obtain high strength in as-quenched condition. Such quenching is usually done by immersing a steel product into the cooling medium which provides a uniform cooling of the surface. LÄS MER
5. Scalable Machine Learning through Approximation and Distributed Computing
Sammanfattning : Machine learning algorithms are now being deployed in practically all areas of our lives. Part of this success can be attributed to the ability to learn complex representations from massive datasets. LÄS MER