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1 design alternatives space
English-Russian electronics dictionary > design alternatives space
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2 design alternatives space
The New English-Russian Dictionary of Radio-electronics > design alternatives space
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3 design alternatives space
Макаров: пространство проектных решений (в САПР)Универсальный англо-русский словарь > design alternatives space
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4 design space
= design alternatives space пространство проектных решений -
5 design space
= design alternatives space пространство проектных решенийThe New English-Russian Dictionary of Radio-electronics > design space
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6 space
1) пространство; область; зона; объём || распределять в пространстве; разбивать на области или зоны; размещать в объёме || пространственный; относящийся к области или зоне; объёмный2) космическое пространство, космос || космический3) тлг бестоковая посылка, пауза4) пробел || разделять (напр. буквы или слова) пробелами5) зазор (напр. между элементами ИС) || использовать зазор; оставлять зазор; разделять зазором6) вчт шпация8) интервал (напр. между строками матрицы); промежуток || располагать с интервалом (напр. строки матрицы) или с промежутком9) проф. интерлиньяж (межстрочный пробел, междустрочие)10) (условная) единица измерения интерлиньяжа, проф. интервал11) разнос (напр. каналов) || разносить (напр. каналы)•- space of basic elementsto space out — набирать ( текст) в разрядку
- space of events
- space of finite dimension
- space of functions
- space of ideals
- space of kernels
- space of mappings
- space of random variables
- space of solutions
- space of strategies
- space of values
- Abelian space
- absolutely convergent series space
- acceleration space
- active space
- address space
- adjacency space
- advertising space
- affine space
- air space
- allocated space
- anode dark space
- Aston dark space
- aural space
- Banach space
- basic line space
- blank space
- Boolean space
- brightness-color space
- buncher space
- catcher space
- cathode dark space
- cellular space
- checkpoint space
- cislunar space
- classification space
- classifying space
- closed space
- cointegration space
- color space
- conceptual space
- configuration space
- connected space
- control space
- CPU address space
- criteria space
- Crookes dark space
- dead space
- decision space
- deep space
- design space
- design alternatives space
- disk space
- display space
- distribution space
- domain space
- double space
- drift space
- electron drift space
- em space
- en space
- end spaces
- error space
- estimation space
- Euclidean space
- Faraday dark space
- feature space
- finite-dimensional space
- fixed space
- flat address space
- Frechet space
- free space
- free Web space
- fuzzy space
- goal space
- guard space
- half-space space
- hard space
- Hausdorff space
- heap space
- hereditary space
- Hilbert space
- Hilbertian space
- Hittorf dark space
- hole drift space
- image space
- infinite-dimensional space
- input space
- input/output space
- integrable function space
- interaction space
- inter-block space
- interelectrode space
- interplanar space
- inter-record space
- interstitial space
- inter-track space
- invariant space
- Langmuir dark space
- lexicographic space
- line space
- logic space
- marker space
- medium space
- memory space
- mixed space
- model space
- momentum space
- multidimensional space
- multiple space
- N-space
- name space
- N-dimensional Euclidean space
- negative thin space
- nonbreaking space
- number space
- object space
- observation space
- one-dimensional space
- open space
- operating space
- ordered space
- organism's phase space
- orthonormal space
- outcome space
- outer space
- output space
- parameter space
- patch space
- pattern space
- perception space
- phase space
- policy space
- probability space
- problem space
- problem address space
- provider aggregable address space
- provider independent address space
- proximity space
- Radon space
- range space
- reference space
- reflector space
- required space
- reticulated space
- routing space
- sample space
- search space
- segmented address space
- semantic space
- semi-infinite space
- sequence space
- shared space
- single space
- solution space
- spin space
- state space
- strategy space
- structural space
- task space
- test space
- tesselated space
- thick space
- thin space
- three-dimensional space
- topological space
- trajectory space
- trailing space
- triangulable space
- triple space
- tuple space
- two-dimensional space
- uniconvergence space
- uniform color space
- vector space
- virtual space
- visible space
- wave-vector space
- white space
- Whitney space
- word space
- working space -
7 space
1) пространство; область; зона; объём || распределять в пространстве; разбивать на области или зоны; размещать в объёме || пространственный; относящийся к области или зоне; объёмный2) космическое пространство, космос || космический3) тлг. бестоковая посылка, пауза4) пробел || разделять (напр. буквы или слова) пробелами5) зазор (напр. между элементами ИС) || использовать зазор; оставлять зазор; разделять зазором6) вчт. шпация8) интервал (напр. между строками матрицы); промежуток || располагать с интервалом (напр. строки матрицы) или с промежутком9) проф. интерлиньяж (межстрочный пробел, междустрочие)10) (условная) единица измерения интерлиньяжа, проф. интервал11) разнос (напр. каналов) || разносить (напр. каналы)•- absolutely convergent series spaceto space out — набирать ( текст) в разрядку
- acceleration space
- active space
- address space
- adjacency space
- advertising space
- affine space
- air space
- allocated space
- anode dark space
- Aston dark space
- aural space
- Banach space
- basic line space
- blank space
- Boolean space
- brightness-color space
- buncher space
- catcher space
- cathode dark space
- cellular space
- checkpoint space
- cislunar space
- classification space
- classifying space
- closed space
- cointegration space
- color space
- conceptual space
- configuration space
- connected space
- control space
- CPU address space
- criteria space
- Crookes dark space
- dead space
- decision space
- deep space
- design alternatives space
- design space
- disk space
- display space
- distribution space
- domain space
- double space
- drift space
- electron drift space
- em space
- en space
- end spaces
- error space
- estimation space
- Euclidean space
- Faraday dark space
- feature space
- finite-dimensional space
- fixed space
- flat address space
- Frechet space
- free space
- free Web space
- fuzzy space
- goal space
- guard space
- half-space
- hard space
- Hausdorff space
- heap space
- hereditary space
- Hilbert space
- Hilbertian space
- Hittorf dark space
- hole drift space
- image space
- infinite-dimensional space
- input space
- input/output space
- integrable function space
- interaction space
- inter-block space
- interelectrode space
- interplanar space
- inter-record space
- interstitial space
- inter-track space
- invariant space
- Langmuir dark space
- lexicographic space
- line space
- logic space
- marker space
- medium space
- memory space
- mixed space
- model space
- momentum space
- multidimensional space
- multiple space
- name space
- N-dimensional Euclidean space
- negative thin space
- nonbreaking space
- N-space
- number space
- object space
- observation space
- one-dimensional space
- open space
- operating space
- ordered space
- organism's phase space
- orthonormal space
- outcome space
- outer space
- output space
- parameter space
- patch space
- pattern space
- perception space
- phase space
- policy space
- probability space
- problem address space
- problem space
- provider aggregable address space
- provider independent address space
- proximity space
- Radon space
- range space
- reference space
- reflector space
- required space
- reticulated space
- routing space
- sample space
- search space
- segmented address space
- semantic space
- semi-infinite space
- sequence space
- shared space
- single space
- solution space
- space of attributes
- space of basic elements
- space of events
- space of finite dimension
- space of functions
- space of ideals
- space of kernels
- space of mappings
- space of random variables
- space of solutions
- space of strategies
- space of values
- spin space
- state space
- strategy space
- structural space
- task space
- tesselated space
- test space
- thick space
- thin space
- three-dimensional space
- topological space
- trailing space
- trajectory space
- triangulable space
- triple space
- tuple space
- two-dimensional space
- uniconvergence space
- uniform color space
- vector space
- virtual space
- visible space
- wave-vector space
- white space
- Whitney space
- word space
- working spaceThe New English-Russian Dictionary of Radio-electronics > space
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8 Language
Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)[A list of language games, not meant to be exhaustive:]Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling itSolving a problem in practical arithmeticTranslating from one language into anotherLANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)We dissect nature along the lines laid down by our native languages.The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own LanguageThe forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)[It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)23) Language Is Inevitably Influenced by Specific Contexts of Human InteractionLanguage cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)Historical dictionary of quotations in cognitive science > Language
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