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1 basis calculus
Большой англо-русский и русско-английский словарь > basis calculus
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2 basis calculus
Математика: базисное исчисление -
3 basis calculus
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4 calculus
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5 the limit is the basis for all calculus problems
Математика: понятие предела является основой для (...)Универсальный англо-русский словарь > the limit is the basis for all calculus problems
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6 базисное исчисление
basis calculus мат.Русско-английский научно-технический словарь Масловского > базисное исчисление
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7 базисное исчисление
Большой англо-русский и русско-английский словарь > базисное исчисление
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8 базисное исчисление
Mathematics: basis calculusУниверсальный русско-английский словарь > базисное исчисление
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9 основа
base, basis, foundation, ground, groundwork• Видно, что это обеспечивает подходящую основу для... - This apparently provides a suitable basis for...• Данное свойство является основой одного метода нахождения... - This property provides one method of determining...• Идея, лежащая в основе этого, состоит в том, что... - The underlying idea is that...• Как мы увидим далее, данная теорема является основой для... - This theorem, as we shall see, is the basis of...• Качественно это можно объяснить на основе... - Qualitatively, this can be explained on the basis of...• Лежащие в основе (этого) идеи настолько просты, что... - The ideas involved here are so simple that...• На основе данного факта мы строим... - This fact is the foundation on which we build...• На основе данных результатов давайте теперь оценим... - On the basis of these results, let us now estimate...• На этой основе мы определяем... - On this basis, we define...• Нижеследующая теорема является основой для дальнейших приложений. - The next theorem is basic to the applications that follow.• Основа данного утверждения находится в... - The basis for this assertion lies in...• От читателя требуется обладать знаниями, ненамного превосходящими основы алгебры и тригонометрии. - Few prerequisites are needed apart from basic algebra and trigonometry.• Понятие предела является основой для... - The limit is the basis for all calculus problems.• Следующий очень важный результат является основой для... - The following very important result is the basis for.• Существенная идея, лежащая в основе этих утверждений, состоит в том, что... - The essential idea underlying these statements is that of...• Тем не менее, развитые нами методы обеспечивают основу (= дают основание) для... - However, the methods we have developed provide a basis for...• Теоретической основой этого является... - The theoretical basis for this is...• Уравнение (4) часто используется как основа для вычислений... - Equation (4) is often used as a basis for the calculation of...• Эти уравнения положены в основу теории... - These equations form the basis of the theory of...• Это обеспечивает надежную основу для развития. - This provides a sound basis for development. -
10 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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11 vector
1) вектор
2) векторный
3) <math.> матрица-столбец
4) <aeron.> пеленг
– axial vector
– basis vector
– bound vector
– buckling vector
– Burgers vector
– column vector
– component of a vector
– component vector
– contravariant vector
– control vector
– correction vector
– covariant vector
– current vector
– decomposition of vector
– derivative of vector
– divergence of vector
– electric vector
– four-momentum vector
– free vector
– input vector
– interrupt vector
– irrotational vector
– linear-dependent vector
– localized vector
– magnetic vector
– magnitude of vector
– modulus of vector
– non-localized vector
– non-vanishing vector
– normal vector
– null vector
– pendulum vector
– position vector
– price vector
– radius vector
– reciprocal vector
– resultant vector
– reversed vector
– rotating vector
– row vector
– solenoidal vector
– space vector
– state vector
– tangent vector
– unit vector
– vector admittance
– vector analysis
– vector calculus
– vector component
– vector equation
– vector impedance
– vector notation
– vector polygon
– vector potential
– vector product
– vector quantity
– vector space
– vector sum
– vector train
– velocity vector
absolute value of a vector — <math.> величина вектора, модуль вектора
circuital vector field — <electr.> поле вихревое
electric displacement vector — вектор электрической индукции
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12 понятие предела является основой для (...)
Mathematics: the limit is the basis for all calculus problemsУниверсальный русско-английский словарь > понятие предела является основой для (...)
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13 понятие предела является основой для
Mathematics: (...) the limit is the basis for all calculus problemsУниверсальный русско-английский словарь > понятие предела является основой для
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14 увидеть
(= видеть) see, observe, lay eyes on• В главе 3 мы увидим другое обобщение той же самой основной идеи. - In Chapter 3 we shall meet another generalization of the same basic idea.• В самом деле, позднее мы увидим, что... - As a matter of fact, we will see later that...• В следующей главе мы увидим, что... - We shall see in the next chapter that...• В частности, позднее мы увидим, что... - In particular, we shall see later that...• Вскоре мы увидим, что... - We shall see shortly that...• Далее, трудно увидеть, как... - It is difficult to see, then, how...• Действительно, мы увидим, что... - Actually we shall see that...• Довольно просто увидеть, что... - It is fairly easy to see that...• Из геометрических соображений можно легко увидеть, что... - It is easily seen geometrically that...• К сожалению, как мы увидим, данная теория не предсказывает... - Unfortunately, as we shall see, the theory does not predict...• Как мы увидим в следующем параграфе, это не простое совпадение. - This is not a coincidence, as we will see in the next section.• Как мы увидим дальше... - As we shall see later,...• Как мы увидим из дальнейшего, данная теорема является основой для... - This theorem, as we shall see, is the basis of...• Как мы увидим позднее,... - As will be seen later,...• Можно легко увидеть причину такой зависимости. - One can easily see the reason for this dependence.• Мы немедленно увидим, что... - It will be seen at once that...• Мы увидим позже, что... - It will be seen later that...• Мы увидим, что возможно (преобразовать и т. п.)... - We shall find it possible to...• Мы увидим, что данное исследование применимо также в случае... - It will be observed that this investigation applies also to the case of...• Мы увидим, что данные вопросы тесно взаимосвязаны. - We shall see that these questions are closely related.• Мы увидим, что эти методы могут использоваться лишь тогда, когда... - It will be observed that these methods are only applicable when...• Мы увидим, что эти условия могут быть выполнены при использовании... - We shall see that these conditions can be met using...• Мы увидим, что это пример (чего-л). - We shall see that this is an example of...• Не требуется много усилий для того, чтобы увидеть, что... - It does not require much reflection to see that...• Однако мы увидим, что... - However, we shall discover that...• Однако, как мы сейчас увидим, это другая ситуация. - But here the situation is different, as we shall now see.• Оказывается, Смит [1] был первым, кто увидел, что... - It appears that Smith [1] was the first to recognize that...; Smith [1] appears to be the first to have recognized that...• Справедливость того же результата можно увидеть геометрически. - The same result can be seen geometrically.• Теперь мы могли бы легко увидеть, что... - Now we may easily see that...• Трудно увидеть, как эти различия могли бы возникнуть из (чего-л). - It is difficult to see how these differences could arise from...• Умелый исследователь быстро увидит, что... - The skilled investigator will quickly see that...• Читатель с хорошей подготовкой немедленно увидит, что... - The knowledgeable reader will see at once that...• Читатель увидит, как можно использовать высшую математику в... - The reader will see how ordinary calculus can be applied to...• Чтобы доказать эту теорему, недостаточно увидеть, что... - То prove this theorem it is not enough to observe that...• Чтобы понять это, достаточно рассмотреть... - То see this, it suffices to consider...• Чтобы увидеть это более детально, отметим, что... - То see this in greater detail, let us note that... -
15 piedra
f.1 stone (material, roca).una casa/un muro de piedra a stone house/wallponer la primera piedra to lay the foundation stone; (inaugurar) to lay the foundations (figurative)dejar a alguien de piedra to stun somebodyno dejar piedra sobre piedra to leave no stone standingquedarse de piedra to be thunderstruckpiedra pómez/preciosa pumice/precious stone2 flint.3 stone.una piedra en la vesícula a gallstone4 calculus, stone.5 crack, rock cocaine.6 crib, hidden notes used to cheat on exams, pony.7 lapis.* * *1 stone2 (granizo) hailstone3 (en el riñón) stone4 (de un encendedor) flint5 (de afilar) grindstone\no ser de piedra familiar to be human, not be made of stonepasar a alguien por la piedra tabú to lay somebodyquedarse de piedra familiar to be stunnedpiedra angular cornerstonepiedra filosofal philosopher's stonepiedra pómez pumice stonepiedra preciosa gem, precious stone* * *noun f.1) stone2) flint* * *1. SF1) (=material) stone; (=trozo) stone, rock (EEUU)¿quién se atreve a lanzar la primera piedra? — which of you shall cast the first stone?
no ser de piedra —
no soy de piedra — I'm not made of stone, I do have feelings
piedra de afilar, piedra de amolar — grindstone
tiro 1)piedra fundamental — (lit) foundation stone; (fig) basis, cornerstone
2) [de mechero] flint3) (Med) stone4) (Meteo) hailstone5)2.SMF Caribe (=pesado) bore* * *ablandar hasta las piedras — (fam) to melt a heart of stone
caer como (una) piedra — (AmL fam) to go out like a light, crash out (colloq)
darse con una piedra en el pecho — (Chi fam) to think o count oneself lucky, to be thankful
dejar a alguien de piedra — (fam) to stun
tiene el corazón duro como una piedra — he has a heart of stone
menos da una piedra — (Esp fam) it's better than nothing
no dejar piedra por mover — to leave no stone unturned
no dejar piedra sobre piedra — ejército/enemigo to raze the town (o village etc) to the ground; terremoto to leave nothing standing
no soy/no es de piedra — I'm not/he's not made of stone
quedarse de piedra — (fam) to be flabbergasted o stunned (colloq)
tirar la primera piedra — to cast the first stone
2)a) ( de mechero) flintb) ( cálculo) stonetiene piedras en el riñón/la vesícula — she has kidney stones/gallstones
c) (Meteo) large hailstone* * *= stone, rock.Ex. A manuscript is a writing made by hand (including musical scores), typescripts, and inscriptions on clay tablets, stone, etc.Ex. The Museum's scientific research draws on unique fossil, rock and mineral collections.----* algo grabado en piedra = tablet of stone.* a un tiro de piedra = just a shot away, within a stone's throw (away/from).* banco de piedra = stone bench.* bloque de piedra = stone block.* cartón piedra = papier mâché.* con corazón de piedra = stony-hearted.* corazón de piedra = stony heart, heart of stone.* de piedra = stone, flinty [flintier -comp., flintiest -sup.].* de tirar la piedra y esconder la mano = hit-and-run.* duro como una piedra = rock-hard.* Edad de Piedra, la = Stone Age, the.* en la edad de la piedra = in the dark ages.* grabado en piedra = carved in a tablet of stone.* grabar en piedra = engrave in + stone.* más duro que una piedra = as tough as nuts, as tough as nails, as tough as leather, as tough as old boots, as tough as shoe leather.* muro de piedra = stone wall, masonry wall.* piedra angular = cornerstone [corner-stone], keystone, linchpin.* piedra arenisca = sandstone.* piedra caliza = limestone.* piedra + charca + formar + ondas = stone + pond + cast + ripples.* piedra de afilar = sharpening stone.* piedra de amolar = sharpening stone.* piedra de encendedor = lighter flint.* piedra de mechero = lighter flint.* piedra de toque = touchstone.* piedra fisosofal, la = philosopher's stone, the.* piedra litográfica = press stone, litho stone, lithographic stone, limestone.* piedra litográfica de color = colour stone.* piedra pómez = pumice, pumice stone.* piedra preciosa = gem, cameo, precious stone, gemstone.* piedra renal = kidney stone.* piedra rojiza = brownstone.* piedra Roseta = Rosetta stone.* piedra semipreciosa = semi-precious stone.* piedra volcánica = lava rock.* quedarse de piedra = You could have pushed + Nombre + over with a feather.* sólido como una piedra = rock solid.* tablilla de piedra = stone tablet.* tan duro como la piedra = as hard as nails.* tan duro como una piedra = as hard as nails, as tough as nuts, as tough as nails, as tough as leather, as tough as old boots, as tough as shoe leather.* tirar piedras contra tu propio tejado = cut + the branch + you sit on, cut off + Posesivo + nose to spite + Posesivo + face.* tirarse piedras contra el propio tejado = shoot + Reflexivo + in the foot.* * *ablandar hasta las piedras — (fam) to melt a heart of stone
caer como (una) piedra — (AmL fam) to go out like a light, crash out (colloq)
darse con una piedra en el pecho — (Chi fam) to think o count oneself lucky, to be thankful
dejar a alguien de piedra — (fam) to stun
tiene el corazón duro como una piedra — he has a heart of stone
menos da una piedra — (Esp fam) it's better than nothing
no dejar piedra por mover — to leave no stone unturned
no dejar piedra sobre piedra — ejército/enemigo to raze the town (o village etc) to the ground; terremoto to leave nothing standing
no soy/no es de piedra — I'm not/he's not made of stone
quedarse de piedra — (fam) to be flabbergasted o stunned (colloq)
tirar la primera piedra — to cast the first stone
2)a) ( de mechero) flintb) ( cálculo) stonetiene piedras en el riñón/la vesícula — she has kidney stones/gallstones
c) (Meteo) large hailstone* * *= stone, rock.Ex: A manuscript is a writing made by hand (including musical scores), typescripts, and inscriptions on clay tablets, stone, etc.
Ex: The Museum's scientific research draws on unique fossil, rock and mineral collections.* algo grabado en piedra = tablet of stone.* a un tiro de piedra = just a shot away, within a stone's throw (away/from).* banco de piedra = stone bench.* bloque de piedra = stone block.* cartón piedra = papier mâché.* con corazón de piedra = stony-hearted.* corazón de piedra = stony heart, heart of stone.* de piedra = stone, flinty [flintier -comp., flintiest -sup.].* de tirar la piedra y esconder la mano = hit-and-run.* duro como una piedra = rock-hard.* Edad de Piedra, la = Stone Age, the.* en la edad de la piedra = in the dark ages.* grabado en piedra = carved in a tablet of stone.* grabar en piedra = engrave in + stone.* más duro que una piedra = as tough as nuts, as tough as nails, as tough as leather, as tough as old boots, as tough as shoe leather.* muro de piedra = stone wall, masonry wall.* piedra angular = cornerstone [corner-stone], keystone, linchpin.* piedra arenisca = sandstone.* piedra caliza = limestone.* piedra + charca + formar + ondas = stone + pond + cast + ripples.* piedra de afilar = sharpening stone.* piedra de amolar = sharpening stone.* piedra de encendedor = lighter flint.* piedra de mechero = lighter flint.* piedra de toque = touchstone.* piedra fisosofal, la = philosopher's stone, the.* piedra litográfica = press stone, litho stone, lithographic stone, limestone.* piedra litográfica de color = colour stone.* piedra pómez = pumice, pumice stone.* piedra preciosa = gem, cameo, precious stone, gemstone.* piedra renal = kidney stone.* piedra rojiza = brownstone.* piedra Roseta = Rosetta stone.* piedra semipreciosa = semi-precious stone.* piedra volcánica = lava rock.* quedarse de piedra = You could have pushed + Nombre + over with a feather.* sólido como una piedra = rock solid.* tablilla de piedra = stone tablet.* tan duro como la piedra = as hard as nails.* tan duro como una piedra = as hard as nails, as tough as nuts, as tough as nails, as tough as leather, as tough as old boots, as tough as shoe leather.* tirar piedras contra tu propio tejado = cut + the branch + you sit on, cut off + Posesivo + nose to spite + Posesivo + face.* tirarse piedras contra el propio tejado = shoot + Reflexivo + in the foot.* * *está muy piedra con ella he's really mad at o livid with her ( colloq)casas de piedra stone housestiraba piedritas or ( Esp) piedrecitas al agua he was throwing stones into the waterpantalones lavados a la piedra stonewashed jeansablandar hasta las piedras ( fam); to melt a heart of stonecerrado a piedra y lodo all shut up ( colloq), firmly lockeddejar a algn de piedra ( fam); to stun sb ( colloq), to knock sb for a loop ( AmE colloq), to knock sb for six ( BrE colloq)(duro) como una piedra rock hardeste pan está como (una) piedra this bread's rock hardtiene el corazón duro como una piedra he has a heart of stone, he's very hardheartedlo saben hasta las piedras it's common knowledge o everybody knowsmenos da una piedra ( Esp fam); it's better than nothing, it's better than a poke in the eye with a sharp stick ( colloq hum), things could be worse ( colloq)no dejar piedra por mover to leave no stone unturnedno dejar piedra sobre piedra to raze to the groundlos rebeldes arrasaron la villa, no dejando piedra sobre piedra the rebels razed the town to the groundel terremoto no dejó piedra sobre piedra nothing o not a stone was left standing after the earthquakecuando los niños nos visitan no dejan piedra sobre piedra when the children come to visit us they wreak havoc o leave a trail of destructionno soy/no es de piedra I'm/he's only human, I'm not/he's not made of stonetirar la piedra y esconder la mano to play sneaky trickstirar la primera piedra to cast the first stonetirar piedras a su propio tejado to foul one's own nestCompuestos:( Arquit) cornerstone; (fundamento, base) cornerstonesandstonegranite● piedra caliza or de callimestonewhetstonesource of gossipmillstone(en joyería) touchstone, standard; (muestra, punto de referencia) touchstonephilosopher's stonefoundation stonelodestone● piedra miliar or millarmilestone( Méx) pumice stonepumice stoneprecious stonesemiprecious stoneB1 (de un mechero) flint2 (cálculo) stonetiene piedras en el riñón/la vesícula she has kidney stones/gallstones3 ( Meteo) large hailstoneC¡qué piedra! dejé el libro en casa damn o what a drag! I've left the book at home ( colloq)* * *
piedra sustantivo femenino
1 ( material) stone;
( trozo) stone, rock (esp AmE);
me tiró una piedra he threw a stone o rock at me;
piedra caliza or de cal limestone;
piedra de molino millstone;
piedra pómez pumice stone;
piedra preciosa precious stone;
dejar a algn de piedra (fam) to stun sb;
(duro) como una piedra ‹pan/asado› rock hard;
tiene el corazón duro como una piedra he has a heart of stone
2
◊ tiene piedras en el riñón/la vesícula she has kidney stones/gallstones
piedra sustantivo femenino
1 stone
2 (de mechero) flint
♦ Locuciones: menos da una piedra, it's better than nothing
dejar o quedarse de piedra, to be stunned
' piedra' also found in these entries:
Spanish:
angular
- cantera
- cartón
- convidada
- convidado
- crucero
- dócil
- esconder
- faceta
- grava
- inscripción
- labrada
- labrado
- picar
- pómez
- sillar
- tejo
- Tiro
- adoquín
- ámbar
- ara
- astillarse
- aventar
- bloque
- calizo
- cerca
- cercado
- china
- cincelar
- corazón
- diamante
- edad
- encima
- engarzar
- grano
- incrustar
- jaspe
- labrar
- machacar
- montar
- partir
- pulir
- rebotar
- tropezar
- vena
English:
age
- carve
- cast
- chalk
- chisel
- cornerstone
- cut
- flint
- gem
- gouge out
- jewel
- limestone
- millstone
- missile
- moss
- mottled
- polish
- polished
- precious stone
- pumice (stone)
- rhinestone
- set
- slab
- spitting distance
- split
- stone
- Stone Age
- stonewashed
- tablet
- wear away
- change
- corner
- grind
- hail
- lime
- meteoric
- precious
- rock
- scrape
* * *piedra nf1. [material, roca] stone;una casa/un muro de piedra a stone house/wall;lavado a la piedra stonewashed;dejar a alguien de piedra to stun sb;estar más duro que una piedra to be rock hard;Fammenos da una piedra it's better than nothing;no dejar piedra sobre piedra to leave no stone standing;Esp muy Fampasarse por la piedra a alguien [sexualmente] to have it off with sb;poner la primera piedra [inaugurar] to lay the foundation stone;[sentar las bases] to lay the foundations;no quedar piedra sobre piedra: tras el terremoto no quedaba piedra sobre piedra there wasn't a stone left standing after the earthquake;quedarse de piedra to be stunned;tirar la piedra y esconder la mano to play the innocent;tirar la primera piedra to cast the first stone;están tirando piedras contra su propio tejado they're just harming themselvespiedra de afilar whetstone, grindstone; también Fig piedra angular cornerstone;piedra arenisca sandstone;piedra caliza limestone;piedra filosofal philosopher's stone;piedra fina precious stone;RP piedra laja slate paving stone;piedra de molino millstone;Méx piedra poma pumice stone;piedra pómez pumice stone;piedra preciosa precious stone;Hist la piedra de Roseta the Rosetta stone;piedra semipreciosa semi-precious stone;piedra de toque touchstone;Figfue la piedra de toque del equipo it was a chance to see how good the team was2. [de mechero] flint;3. [en vejiga, riñón, vesícula] stone;tiene una piedra en el riñón/en la vesícula she has a kidney stone/gallstone4. [granizo] hailstone;RP Famcayó piedra sin llover oh no, look who's here5. [de molino] millstone, grindstonetener una piedra con alguien to be hacked off with sb;sacarle la piedra a alguien to hack sb off* * *f tb MED stone;quedarse de piedra fig fam be stunned;el ejército invasor no dejó piedra sobre piedra de la ciudad fig the invading army razed the city to the ground odid not leave a stone standing in the city;tirar piedras a su propio tejado fig fam shoot o.s. in the foot fam ;tirar la piedra y esconder la mano do things on the sly;poner ocolocar la primera piedra lay the foundation stone;* * *piedra nf1) : stone2) : flint (of a lighter)3) : hailstone4)piedra de afilar : whetstone, grindstone5)piedra angular : cornerstone6)piedra arenisca : sandstone7)piedra caliza : limestone8)piedra imán : lodestone9)piedra de molino : millstonepiedra de toque : touchstone* * *piedra n stonepiedra preciosa gem / precious stone -
16 F81.2
рус Специфическое расстройство арифметических навыковeng Specific disorder of arithmetical skills. Involves a specific impairment in arithmetical skills that is not solely explicable on the basis of general mental retardation or of inadequate schooling. The deficit concerns mastery of basic computational skills of addition, subtraction, multiplication, and division rather than of the more abstract mathematical skills involved in algebra, trigonometry, geometry, or calculus. Developmental: acalculia, arithmetical disorder, Gerstmann's syndrome. (Excludes: ) acalculia NOS ( R48.8), arithmetical difficulties: associated with a reading or spelling disorder ( F81.3), due to inadequate teaching ( Z55.8)
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