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APPROXIMATE SOLUTIONS OF SINGULAR DIFFERENTIAL
APPROXIMATE SOLUTIONS OF SINGULAR DIFFERENTIAL

... variable order linear cable equation [8]. Rostamy used a new operational matrix method based on the Bernstein polynomials for solving the backward inverse heat conduction problems [9]. In the present paper, we use Bernstein operational matrix to solve a linear and nonlinear singular boundary value p ...
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Document
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Thinking Big (and Critically) about Qualitative Research: Trends
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quantitative and qualitative - BU Blogs
quantitative and qualitative - BU Blogs

... As we said, quantitative statements are both more precise (at least potentially) and more explicit. This is because the very act of creating a numerical scale requires a set of explicit comparisons and an explicit comparison-set – a domain. Scales cannot be developed in highly specific contexts. Im ...
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... Multi-objective optimization (or multi-objective programming), also known as multi-criteria or multi-attribute optimization, is the process of simultaneously optimizing two or more conflicting objectives subject to certain constraints. Multiobjective optimization problems can be found in various fie ...
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Microarray analysis with SAM
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Slide 1
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- Bulletin of the Iranian Mathematical Society
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The Cultural Revolution - Naval Postgraduate School
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... compute and interpret quantitative and qualitative data and/or information. Demonstrate the ability to apply mathematics, science and technology to make decisions. ...
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Real-Time Artificial Intelligence for Scheduling and Planning Make
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Economic impact of mathematical science research final report 16

... world, the industry benefits from a highly-skilled home-grown workforce, superior manufacturing processes and sophisticated quality management systems – all made possible by superior research and training in mathematics. Likewise the UK life sciences sector, with significant potential for economic g ...
Measuring the Economic Benefits of Mathematical Science
Measuring the Economic Benefits of Mathematical Science

... world, the industry benefits from a highly-skilled home-grown workforce, superior manufacturing processes and sophisticated quality management systems – all made possible by superior research and training in mathematics. Likewise the UK life sciences sector, with significant potential for economic g ...
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Operations research

Operations research, or operational research in British usage, is a discipline that deals with the application of advanced analytical methods to help make better decisions. It is often considered to be a sub-field of mathematics. The terms management science and decision science are sometimes used as synonyms.Employing techniques from other mathematical sciences, such as mathematical modeling, statistical analysis, and mathematical optimization, operations research arrives at optimal or near-optimal solutions to complex decision-making problems. Because of its emphasis on human-technology interaction and because of its focus on practical applications, operations research has overlap with other disciplines, notably industrial engineering and operations management, and draws on psychology and organization science. Operations research is often concerned with determining the maximum (of profit, performance, or yield) or minimum (of loss, risk, or cost) of some real-world objective. Originating in military efforts before World War II, its techniques have grown to concern problems in a variety of industries.
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