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

„Are you sure you are not merely "programmed" in life by what by chance events happens to you?“

—  Richard Hamming

The Art of Doing Science and Engineering: Learning to Learn (1991)
Contexto: When you take a course in Euclidean geometry is not the teacher putting a... learning program into you?... You enter the course and cannot do problems; the teacher puts into you a program and at the end of the course you can solve such problems.... Are you sure you are not merely "programmed" in life by what by chance events happens to you?

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„No vision, not much of a future.“

—  Richard Hamming

The Art of Doing Science and Engineering: Learning to Learn (1991)
Contexto: In a lifetime of many, many independent choices, small and large, a career with a vision will get you a distance proportional to n, while no vision will get you only the distance √n.... the accuracy of the vision matters less than you suppose, getting anywhere is better than drifting, there are potentially many paths to greatness for you... No vision, not much of a future.

„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.

„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.

„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.

„There is simply too much known to continue the older approach of giving detailed results.“

—  Richard Hamming

Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)
Contexto: We intend to teach the doing of mathematics. The applications of these methods produce the results of mathematics (which usually is only what is taught)... There is also a deliberate policy to force you to think abstractly... it is only through abstraction that any reasonable amount of useful mathematics can be covered. There is simply too much known to continue the older approach of giving detailed results.

„It is the same as an art course.“

—  Richard Hamming

Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)
Contexto: There is no unique, correct answer in most cases. It is a matter of taste, depending on the circumstances... and the particular age you live in.... Gradually, you will develop your own taste, and along the way you may occasionally recognize that your taste may be the best one! It is the same as an art course.

„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.

„They are learned by the constant use of the language and cannot be taught in any other fashion.“

—  Richard Hamming

Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)
Contexto: Mathematics, being very different from the natural languages, has its corresponding patterns of thought. Learning these patterns is much more important than any particular result... They are learned by the constant use of the language and cannot be taught in any other fashion.

„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.

„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

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

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