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Iterative design is a design methodology based on a cyclic process of prototyping, testing, analyzing, and refining a product or process. Based on the results of testing the most recent iteration of a design, changes and refinements are made. This process is intended to ultimately improve the quality and functionality of a design.
The leading bibliographic database providing abstracts and indexing to the world's scientific and technical papers in physics, electrical engineering, electronics, communications, control engineering, computing, information technology, manufacturing, production, and mechanical engineering. Subscription IET [81] INSPIRE-HEP: Physics, (High ...
Technology fields are split up into electrical engineering, computer science, mechanical engineering, chemical engineering (including energy and fuels), materials science, and civil engineering (including environmental engineering). HEEACT ended the Performance Ranking of Scientific Papers for World Universities Project in 2012.
The V-model is a graphical representation of a systems development lifecycle.It is used to produce rigorous development lifecycle models and project management models. The V-model falls into three broad categories, the German V-Modell, a general testing model, and the US government standard.
DEKA Research & Development Corporation is a technology company based in New Hampshire, U.S., founded in 1982 by Dean Kamen, consisting of over 1000 engineers, technicians, and support staff. DEKA is an acronym derived from De an Ka men.
Design optimization applies the methods of mathematical optimization to design problem formulations and it is sometimes used interchangeably with the term engineering optimization. When the objective function f is a vector rather than a scalar , the problem becomes a multi-objective optimization one.
The engineering design process, also known as the engineering method, is a common series of steps that engineers use in creating functional products and processes. The process is highly iterative – parts of the process often need to be repeated many times before another can be entered – though the part(s) that get iterated and the number of such cycles in any given project may vary.
When scientists wish to test several theories, then a statistician can design an experiment that allows optimal tests between specified models. Such "discrimination experiments" are especially important in the biostatistics supporting pharmacokinetics and pharmacodynamics , following the work of Cox and Atkinson.