mathematics

Lynn Schreyer

Lynn Schreyer is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Lynn Schreyer rather than just read about it. In short: Lynn G. Schreyer (formerly Lynn Laverne Schreyer Bennethum) is an American applied mathematician whose research concerns the mathematical modeling of porous media.

Key takeaways

Lynn Schreyer belongs to mathematics; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Lynn Schreyer to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Lynn Schreyer from memory before moving on to harder problems.

Reference excerpt

Lynn G. Schreyer (formerly Lynn Laverne Schreyer Bennethum) is an American applied mathematician whose research concerns the mathematical modeling of porous media. She is associate professor of mathematics and statistics at Washington State University, and full professor of the department of mathematics and statistics at Washington State University in March 2021. Schreyer server as chair of the Society for Industrial and Applied Mathematics Activity Group on Geosciences from 2004 to 2006.

Education and career Schreyer studied mechanical engineering at the University of New Mexico, graduating magna cum laude in 1986. After earning a master's degree in mechanical engineering at Northwestern University in 1988, she switched to mathematics, earning a second master's degree in 1990 and a Ph.D. in 1994, both from Purdue University. Her dissertation, Multiscale Hybrid Mixture Theory for Swelling Systems with Interfaces, was jointly supervised by Jim Douglas Jr. and John H. Cushman. After postdoctoral research in agronomy at Purdue, Schreyer became an assistant professor of mathematics at the University of Colorado Denver, earning tenure there as an associate professor in 2002. She moved to her present position at Washington State University in 2016. Schreyer chaired the Society for Industrial and Applied Mathematics (SIAM) Activity Group on Geosciences (SIAG-GS) from 2004 to 2006.

References

External links Lynn Schreyer publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Lynn Schreyer

Start with the simplest possible case. Write down what Lynn Schreyer claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Lynn Schreyer before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Lynn Schreyer ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Lynn Schreyer

In research: Lynn Schreyer appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Lynn Schreyer in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Lynn Schreyer is common in secondary-school and first-year university syllabi. It links to neighbouring topics 20th-century American mathematicians, 20th-century American women mathematicians, 21st-century American mathematicians, so understanding it makes those chapters shorter.
In everyday life: Look for Lynn Schreyer outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Lynn Schreyer in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Lynn Schreyer means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Lynn Schreyer out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Lynn Schreyer in simple terms?

Lynn G. Schreyer (formerly Lynn Laverne Schreyer Bennethum) is an American applied mathematician whose research concerns the mathematical modeling of porous media.

Why does Lynn Schreyer matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Lynn Schreyer?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Lynn Schreyer.