Frases de Richard Hamming

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Richard Hamming

Fecha de nacimiento: 11. Febrero 1915
Fecha de muerte: 7. Enero 1998

Richard Wesley Hamming fue un matemático estadounidense que trabajó en temas relacionados con la informática y las telecomunicaciones. Sus principales contribuciones a la ciencia han sido el código Hamming, la ventana Hamming y la distancia Hamming.

Frases Richard Hamming

„La verdadera grandeza es cuando tu nombre es como ampère (amperio), watt (vatio) o fourier -cuando se escribe en letras minúsculas.“

—  Richard Hamming

Existen tres unidades de medida en honor de estos tres científicos.
Fuente: Richard Hamming You and Your Research, Bell Communications Research Colloquium Seminar, 7 de marzo de 1986.

„Cuando eres famoso es difícil trabajar en los problemas pequeños.“

—  Richard Hamming

Fuente: «Al dar su discurso de recepción del premio Nobel de Física en 1956, Brattain, casi con lágrimas en los ojos, dijo: "Conozco ese efecto del Premio Nobel y yo no voy a dejar que me afecte, yo voy a seguir siendo el viejo Walter Brattain". Bueno, me dije a mi mismo, "Eso está bien". Pero en un par de semanas vi que le estaba afectando. Ahora sólo podía trabajar en grandes problemas. Cuando eres famoso es difícil trabajar en los problemas pequeños».

„El propósito de la computación es la comprensión, no los números.“

—  Richard Hamming

Fuente: Richard Hamming (1962): Métodos Numéricos para Científicos e Ingenieros. Prefacio

„Education is what, when, and why to do things. Training is how to do it. Either one without the other is not of much use.“

—  Richard Hamming

The Art of Doing Science and Engineering: Learning to Learn (1991)
Contexto: I am concerned with educating and not training you.... Education is what, when, and why to do things. Training is how to do it. Either one without the other is not of much use. You might think education should precede training, but the kind of educating I am trying to do must be based on your past experiences and technical knowledge.<!-- Preface

„Euclid's postulates came from the Pythagorean theorem, not the other way around.“

—  Richard Hamming

The Unreasonable Effectiveness of Mathematics (1980)
Contexto: The idea that theorems follow from the postulates does not correspond to simple observation. If the Pythagorean theorem were found to not follow from the postulates, we would again search for a way to alter the postulates until it was true. Euclid's postulates came from the Pythagorean theorem, not the other way around.

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„In the face of almost infinite useful knowledge, we have adopted the strategy of "information regeneration rather than information retrieval." …most importantly, you should be able to generate the result you need even if no one has ever done it before you“

—  Richard Hamming

Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)
Contexto: In the face of almost infinite useful knowledge, we have adopted the strategy of "information regeneration rather than information retrieval."... most importantly, you should be able to generate the result you need even if no one has ever done it before you—you will not be dependent on the past to have done everything you will ever need in mathematics.

„We do not always know what we are talking about.“

—  Richard Hamming

Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)
Contexto: We do not always know what we are talking about.... Troubles... can be made to arise whenever what is being said includes itself—a self-referral situation.

„Rigor is not a yes-no property of a proof… it is a vague standard of careful treatment that is currently acceptable to a particular group.“

—  Richard Hamming

Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)
Contexto: When you yourself are responsible for some new application in mathematics... then your reputation... and possibly even human lives, may depend on the results you predict. It is then the need for mathematical rigor will become painfully obvious to you.... Mathematical rigor is the clarification of the reasoning used in mathematics.... a closer examination of the numerous "hidden assumptions" is made.... Over the years there has been a gradually rising standard of rigor; proofs that satisfied the best mathematicians of one generation have been found inadequate by the next generation. Rigor is not a yes-no property of a proof... it is a vague standard of careful treatment that is currently acceptable to a particular group.

„The people at the bottom do not have the larger, global view, but at the top they do not have the local view of all the details“

—  Richard Hamming

The Art of Doing Science and Engineering: Learning to Learn (1991)
Contexto: The people at the bottom do not have the larger, global view, but at the top they do not have the local view of all the details, many of which can often be very important, so either extreme gets poor results.

„The idea that theorems follow from the postulates does not correspond to simple observation.“

—  Richard Hamming

The Unreasonable Effectiveness of Mathematics (1980)
Contexto: The idea that theorems follow from the postulates does not correspond to simple observation. If the Pythagorean theorem were found to not follow from the postulates, we would again search for a way to alter the postulates until it was true. Euclid's postulates came from the Pythagorean theorem, not the other way around.

„Only when field maintenance is part of the original design can it be safely controlled“

—  Richard Hamming

The Art of Doing Science and Engineering: Learning to Learn (1991)
Contexto: The more complex the designed system the more field maintenance must be central to the final design. Only when field maintenance is part of the original design can it be safely controlled... This applies to both mechanical things and to human organizations.

„In science if you know what you are doing you should not be doing it.
In engineering if you do not know what you are doing you should not be doing it.“

—  Richard Hamming

The Art of Doing Science and Engineering: Learning to Learn (1991)
Contexto: In science if you know what you are doing you should not be doing it.
In engineering if you do not know what you are doing you should not be doing it.
Of course, you seldom, if ever, see either pure state.<!-- (1997), p. 5

„Without continuous mathematics, the study of discrete mathematics soon becomes trivial and very limited. …The two topics“

—  Richard Hamming

Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)
Contexto: Increasingly... the application of mathematics to the real world involves discrete mathematics... the nature of the discrete is often most clearly revealed through the continuous models of both calculus and probability. Without continuous mathematics, the study of discrete mathematics soon becomes trivial and very limited.... The two topics, discrete and continuous mathematics, are both ill served by being rigidly separated.

„Science is supposed to be cumulative, not almost endless duplication of the same kind of things.“

—  Richard Hamming

One Man's View of Computer Science (1969)
Contexto: Indeed, one of my major complaints about the computer field is that whereas Newton could say, "If I have seen a little farther than others, it is because I have stood on the shoulders of giants," I am forced to say, "Today we stand on each other's feet." Perhaps the central problem we face in all of computer science is how we are to get to the situation where we build on top of the work of others rather than redoing so much of it in a trivially different way. Science is supposed to be cumulative, not almost endless duplication of the same kind of things.

„They are not fixed for all eternity.“

—  Richard Hamming

Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)
Contexto: The assumptions and definitions of mathematics and science come from our intuition, which is based ultimately on experience. They then get shaped by further experience in using them and are occasionally revised. They are not fixed for all eternity.

„Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Etiam egestas wisi a erat. Morbi imperdiet, mauris ac auctor dictum.“

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