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Ronald Fedkiw

Ronald Fedkiw 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 Ronald Fedkiw rather than just read about it. In short: Ronald Paul "Ron" Fedkiw (born February 27, 1968) is a full professor in the Stanford University department of computer science and a leading researcher in the field of computer graphics, focusing on topics relating to physically based simulation of natural phenomena and machine learning. His techniques have been employed in many motion pictures.

Key takeaways

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

Reference excerpt

Ronald Paul "Ron" Fedkiw (born February 27, 1968) is a full professor in the Stanford University department of computer science and a leading researcher in the field of computer graphics, focusing on topics relating to physically based simulation of natural phenomena and machine learning. His techniques have been employed in many motion pictures. He has earned recognition at the 80th Academy Awards and the 87th Academy Awards as well as from the National Academy of Sciences. His first Academy Award was awarded for developing techniques that enabled many technically sophisticated adaptations including the visual effects in 21st century movies in the Star Wars, Harry Potter, Terminator, and Pirates of the Caribbean franchises. Fedkiw has designed a platform that has been used to create many of the movie world's most advanced special effects since it was first used on the T-X character in Terminator 3: Rise of the Machines. His second Academy Award was awarded for computer graphics techniques for special effects for large scale destruction. Although he has won an Oscar for his work, he does not design the visual effects that use his technique. Instead, he has developed a system that other award-winning technicians and engineers have used to create visual effects for some of the world's most expensive and highest-grossing movies.

Early life and family Fedkiw was born in Buffalo, New York, in 1968. He received his Ph.D. in applied mathematics from UCLA in 1996. His dissertation was chaired by Stanley Osher. He completed postdoctoral studies both at UCLA in Mathematics and at Caltech in Aeronautics before joining the Stanford Computer Science Department. Fedkiw has two daughters: Brittany and Briana.

Career Fedkiw began working in the movie industry in 1998 on 3-D water simulations using Navier-Stokes equations. Fedkiw is now a full professor in the department of computer science at Stanford where he researches computational physics. Fedkiw serves on the editorial boards of Journal of Computational Physics and the Journal of Scientific Computing. He has published Level Set Methods and Dynamic Implicit Surfaces (Springer 2002, ISBN 0-387-95482-1) along with Stanley Osher. Since 2000, Fedkiw has been a consultant with Industrial Light & Magic receiving screen credits for work on Terminator 3: Rise of the Machines, Star Wars: Episode III – Revenge of the Sith and Poseidon. In addition, he has worked on all three Pirates of the Caribbean and some Harry Potter movies. Fedkiw's techniques have made possible the renderings of the sea in the Pirates movies and the dragon's flaming breath in Harry Potter and the Goblet of Fire. They have also made possible the rushing floodwaters in Evan Almighty and were first used with T-X in Terminator 3. Fedkiw feels the best result of the use of his techniques was the sinking ship shots in Poseidon. Pirates of the Caribbean: Dead Man's Chest won the Academy Award for Visual Effects at the 79th Academy Awards awarded on February 25, 2007, and Poseidon was also nominated that year in that category. Among the applications that Fedkiw's math engine is responsible for is the tentacles of Davy Jones (pictured left) in the Academy Award-winning Dead Man's Chest. On February 9, 2008, in the Academy Scientific and Technical Award ceremony at the Beverly Wilshire Hotel in Beverly Hills, California, Fedkiw was awarded an 80th Academy Award for Technical Achievement for the development of the Industrial Light & Magic (ILM) fluid simulation system. He shared the award with Nick Rasmussen and Frank Losasso Petterson. Fedkiw does physics-based simulation that enable better water effects. Previous representations had varying levels of success. They often did well at surface representation, but were less efficient at smaller particles such as breaking waves. Fedkiw's team's innovative "particle level set method" allows both smooth surfaces and water breakdown renderings including water spray. Fedkiw has worked with Industrial Light & Magic, Pixar Animation Studios, Intel Corporation, Honda and Sony Pictures Imageworks. Fedkiw commented that when he was informed that he would be presented his award by Jessica Alba he was quoted by the Associated Press as follows: "They said I got 60 seconds so I might just spend the last 15 realizing I'm 10 feet away from the most beautiful woman on the planet . . . and no restraining order this time.". On February 7, 2015, he received a second Academy Scientific and Technical Award for the development of the ILM PhysBAM Destruction System. Fedkiw and his colleagues have designed a C++ code library for Physics Based Modelling (PhysBAM http://physbam.stanford.edu) that facilitates the creation of better special effects for movies, including water, smoke, fire, cloth, rigid bodies and deformable bodies. Fedkiw often receives screen credit for consulting with special effects engineers, technicians and movie executives. His research has focused on the design of new computational algorithms that can be used for many purposes, including computational fluid dynamics and soft-body dynamics, computer graphics, computer vision and computational biomechanics. In fact, the system can also be used for a range of applications from motion capture to rendering, but Fedkiw's main emphasis is on physics-based simulation.

Fedkiw has described his work as follows: It is an exhaustive task to prescribe the motion of every degree of freedom in a piece of clothing or a crashing wave. . .Since these motions are governed by physical processes, it can be difficult to make these phenomena appear natural. Thus, physically based simulation has become quite popular in the special effects industry. The same class of tools useful for computational fluid dynamics is also useful for sinking a ship on the big screen.

Awards Presidential Early Career Award for Scientists and Engineers National Academy of Sciences: Award for Initiatives in Research SIGGRAPH: Significant New Researcher Award (2005) Academy Award: Scientific and Technical Award (2015)

Book S. Osher and R. Fedkiw, Level Set Methods and Dynamic Implicit Surfaces, Springer-Verlag, New York (2002).

See also Industrial Light & Magic Level-set method

Notes

External links Ron Fedkiw Homepage at Stanford Ronald Fedkiw at IMDb Fedkiw at Association for Computing Machinery Ron Fedkiw at New York Times Ronald Fedkiw at the Mathematics Genealogy Project

Worked examples

Example 1 — a first encounter with Ronald Fedkiw

Start with the simplest possible case. Write down what Ronald Fedkiw 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 Ronald Fedkiw 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 Ronald Fedkiw 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 Ronald Fedkiw

In research
Ronald Fedkiw 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 Ronald Fedkiw 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
Ronald Fedkiw is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1968 births, 20th-century American mathematicians, 21st-century American mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Ronald Fedkiw 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 Ronald Fedkiw in 20 minutes

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

Frequently asked questions

What is Ronald Fedkiw in simple terms?

Ronald Paul "Ron" Fedkiw (born February 27, 1968) is a full professor in the Stanford University department of computer science and a leading researcher in the field of computer graphics, focusing on topics relating to physically based simulation of natural phenomena and machine learning. His techn…

Why does Ronald Fedkiw 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 Ronald Fedkiw?

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 Ronald Fedkiw.

Tags

  • 1968 births
  • 20th-century American mathematicians
  • 21st-century American mathematicians
  • Academy Award for Technical Achievement winners
  • Computer graphics professionals
  • Living people
  • Mathematicians from New York (state)
  • People from Sunnyvale, California
  • Recipients of the Presidential Early Career Award for Scientists and Engineers
  • Scientists from Buffalo, New York
  • Stanford University Department of Computer Science faculty
  • University at Buffalo alumni

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