computer science

Moses Charikar

Moses Charikar 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 Moses Charikar rather than just read about it. In short: Moses Samson Charikar is an Indian-American computer scientist who works as a professor at Stanford University. He was previously a professor at Princeton University.

Key takeaways

Moses Charikar 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 Moses Charikar to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Moses Charikar from memory before moving on to harder problems.

Reference excerpt

Moses Samson Charikar is an Indian-American computer scientist who works as a professor at Stanford University. He was previously a professor at Princeton University. The topics of his research include approximation algorithms, streaming algorithms, and metric embeddings. He is known for the creation of the SimHash algorithm used by Google for near duplicate detection. Charikar was born in Bombay, India, and competed for India at the 1990 and 1991 International Mathematical Olympiads, winning bronze and silver medals respectively. He did his undergraduate studies at the Indian Institute of Technology Bombay. In 2000 he completed a doctorate from Stanford University, under the supervision of Rajeev Motwani; he joined the Princeton faculty in 2001. In 2012 he was awarded the Paris Kanellakis Award along with Andrei Broder and Piotr Indyk for their research on locality-sensitive hashing.

References

External links Google scholar profile

Worked examples

Example 1 — a first encounter with Moses Charikar

Start with the simplest possible case. Write down what Moses Charikar 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 Moses Charikar 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 Moses Charikar 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 Moses Charikar

In research: Moses Charikar 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 Moses Charikar 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: Moses Charikar is common in secondary-school and first-year university syllabi. It links to neighbouring topics 20th-century births, Computer scientist stubs, IIT Bombay alumni, so understanding it makes those chapters shorter.
In everyday life: Look for Moses Charikar 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 Moses Charikar in 20 minutes

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

Frequently asked questions

What is Moses Charikar in simple terms?

Moses Samson Charikar is an Indian-American computer scientist who works as a professor at Stanford University. He was previously a professor at Princeton University.

Why does Moses Charikar 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 Moses Charikar?

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 Moses Charikar.