engineering

Martin I. Reiman

Martin I. Reiman is a engineering 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 Martin I. Reiman rather than just read about it. In short: Martin I. Reiman is an American engineer and Professor in the Industrial Engineering and Operations Research Department at Columbia University.

Key takeaways

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

Reference excerpt

Martin I. Reiman is an American engineer and Professor in the Industrial Engineering and Operations Research Department at Columbia University.

Biography Reiman received his A.B. from Cornell University and his M.S. and Ph.D. from Stanford University. He began his career at Bell Labs in 1977 after graduating from Stanford. He was a Distinguished Member of Technical Staff at Bell Labs from 1998 until 2015. His research has focused on teletraffic theory and stochastic networks. Reiman joined the faculty of the Fu Foundation School of Engineering and Applied Science at Columbia University in 2017.

Recognition Reiman received the John von Neumann Theory Prize from INFORMS in 2016. He was elected to the National Academy of Engineering in 2022 for his "contributions to network theory and applications in large-scale stochastic systems." He is also a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS).

References

Worked examples

Example 1 — a first encounter with Martin I. Reiman

Start with the simplest possible case. Write down what Martin I. Reiman claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, 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 Martin I. Reiman 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 Martin I. Reiman 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 Martin I. Reiman

In research: Martin I. Reiman appears in engineering 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 Martin I. Reiman 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: Martin I. Reiman is common in secondary-school and first-year university syllabi. It links to neighbouring topics American engineers, Columbia School of Engineering and Applied Science faculty, Cornell University alumni, so understanding it makes those chapters shorter.
In everyday life: Look for Martin I. Reiman 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 Martin I. Reiman in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Martin I. Reiman 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 Martin I. Reiman out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Martin I. Reiman in simple terms?

Martin I. Reiman is an American engineer and Professor in the Industrial Engineering and Operations Research Department at Columbia University.

Why does Martin I. Reiman matter?

Because it connects several engineering 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 Martin I. Reiman?

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 Martin I. Reiman.