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The main objective for this research is to extend the reverse problem formulation algorithm to include aspects of multiple length scales, thereby creating a framework where product synthesis, design, and optimization can be achieved with significantly reduced computational time.
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Finally, the multipath channel estimation problem is shown to have a sparse formulation; algorithms similar to sampling and coding are used to estimate typical multicarrier communication channels.
Finite element formulation and algorithm are derived for the heterogeneous "circular ring model".
Finally, the novel formulation and algorithm are tested using two simulation case studies, and compared against traditional methods.
This paper presents new MIST (moving iso-surface threshold) formulation and algorithm for concurrent design of structural and cellular material topology.
Following a brief review of the development of operational modal identification techniques, we describe a new method named frequency spatial domain decomposition (FSDD), with theoretical background, formulation and algorithm.
Using this and a deep investigation of the polyhedral structure of that formulation, our algorithm permits to solve large instances of the problem having up to 120 nodes and 10 terminals.
Based on this formulation an algorithm is developed for accurate and efficient modification of structures stiffness and mass characteristics to achieve the desired natural frequencies and interpretation of results in terms of physical design parameters.
Despite the simplicity of its formulation, DP algorithm is a subject that is not easy for the students to learn.
Given stimulus-response gene expression time-course data, D, and a particular model formulation, M, Algorithm 1 determines concrete parameter values.
With this formulation the algorithm quickly (i.e. within 3 ÷ 5 iterations) converges to a local minimum that can be arbitrarily far from the optimal solution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com