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Mauricio Resende

Mauricio Resende is a computer science 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 Mauricio Resende rather than just read about it. In short: Mauricio G. C.

Key takeaways

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

Reference excerpt

Mauricio G. C. Resende (born July 27, 1955 in Maceió, Brazil) is a Brazilian-American research scientist with contributions to the field of mathematical optimization. He is best known for the development of the metaheuristics GRASP (greedy randomized adaptive search procedures), and BRKGA (biased random-key genetic algorithms) as well as the first successful implementation of Karmarkar’s interior point algorithm. He published over 180 peer-reviewed papers, the book Optimization by GRASP and co-edited five books, including the Handbook of Applied Optimization, the Handbook of Optimization in Telecommunications, the Handbook of Heuristics, and the Handbook of Massive Datasets. Additionally, he gave multiple plenary talks in international conferences and is on the editorial boards of several scientific journals.

Education In June 1978, Mauricio G. C. Resende graduated from PUC-Rio with an Electrical Engineering degree with concentration in Systems Engineering. In August 1979, he earned a M.Sc. in operations research at the Georgia Institute of Technology. Later, in August 1987, he earned a Ph.D. in operations research in at the University of California, Berkeley.

Career Mauricio G. C. Resende is currently an INFORMS Fellow, holds a permanent member position of DIMACS at Rutgers University and is an affiliate professor at the University of Washington. Until December 2022, he worked at Amazon.com as a Principal Research Scientist in the Mathematical Optimization and Planning group. Previously, he was Lead Inventive Scientist at AT&T Bell Labs where he worked for over a quarter century.

References

Worked examples

Example 1 — a first encounter with Mauricio Resende

Start with the simplest possible case. Write down what Mauricio Resende claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, 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 Mauricio Resende 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 Mauricio Resende 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 Mauricio Resende

In research
Mauricio Resende appears in computer science 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 Mauricio Resende 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
Mauricio Resende is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1955 births, Living people, Numerical analysis, so understanding it makes those chapters shorter.
In everyday life
Look for Mauricio Resende 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 Mauricio Resende in 20 minutes

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

Frequently asked questions

What is Mauricio Resende in simple terms?

Mauricio G. C.

Why does Mauricio Resende matter?

Because it connects several computer science 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 Mauricio Resende?

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 Mauricio Resende.

Tags

  • 1955 births
  • Living people
  • Numerical analysis
  • Optimization algorithms and methods

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