Our software, Jest, comprises a general and extendible library for numerical optimization for science and engineering, Jam, and a particular extension of that framework for seismic image processing, Jag. Jest successfully separates optimization and application software without imposing limitations on an application's vector representation, on an application's operator implementation, or on a solver's ability to manipulate vectors and operators. To ensure the compatibility of solver and application, Jest includes a set of simple interfaces that define method invocations for the fundamental mathematical objects of numerical optimization, such as vectors, vector spaces, operators, and solvers. Jest's solvers are implemented in terms of these mathematical objects and consequently possess the generality of the original abstract mathematical algorithm. Jest's seismic imaging library, Jag, demonstrates that Jest incurs no restrictions and little or no programming overhead for scientific or engineering software packages. While generally implemented in Java, Jest links some computationally intensive applications to C‐routines to improve performance. Once Jest is integrated in our laboratory's electronic book, our research becomes reproducible by the push of a button in any World Wide Web browser. © 1998 John Wiley & Sons, Ltd.
Our software, Jest, comprises a general and extendible library for numerical optimization for science and engineering, Jam, and a particular extension of that framework for seismic image processing, Jag. Jest successfully separates optimization and application software without imposing limitations on an application's vector representation, on an application's operator implementation, or on a solver's ability to manipulate vectors and operators. To ensure the compatibility of solver and application, Jest includes a set of simple interfaces that define method invocations for the fundamental mathematical objects of numerical optimization, such as vectors, vector spaces, operators, and solvers. Jest's solvers are implemented in terms of these mathematical objects and consequently possess the generality of the original abstract mathematical algorithm. Jest's seismic imaging library, Jag, demonstrates that Jest incurs no restrictions and little or no programming overhead for scientific or engineering software packages. While generally implemented in Java, Jest links some computationally intensive applications to C-routines to improve performance. Once Jest is integrated in our laboratory's electronic book, our research becomes reproducible by the push of a button in any World Wide Web browser.
No abstract
Due to the capital investment cost, procurement and construction schedule, and in some cases the permissions and environmental restrictions, the oil and LNG terminals tend to move more offshore nowadays. Survivability of the facility and operational downtime becomes an issue because of the considerably more challenging metocean conditions. In most cases, metocean conditions (typically related to swell) that dictate terminal operations are determined from ship mooring studies. A slight variation in wave height, period or direction could shift the condition from ‘operational’ to ‘downtime’. However, how do commissioned terminals make critical decisions on whether or when to shut down operations? A precise wave forecast at the terminal site becomes more critical than ever for terminal planning and operation.
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