linear list - перевод на Английский
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linear list - перевод на Английский

PARK IN AN URBAN OR SUBURBAN SETTING THAT IS SUBSTANTIALLY LONGER THAN IT IS WIDE
Linear Park; Cap park; List of linear parks
  • View of the walkway([[Avenue of Stars, Hong Kong]])
  • Unique art found in [[BeltLine]], [[Atlanta]].
  • Part of one of Milton Keynes's linear parks, showing cyclists crossing a [[cattle grid]] on [[National Cycle Route 51]]
  • Picture of [[Rail Corridor]], Singapore
  • Willowgrove]] neighbourhood of [[Saskatoon]], [[Saskatchewan]], Canada
Найдено результатов: 7231
linear list      

общая лексика

линейный список

список элементов данных, имеющий начало и конец

антоним

circular list

Смотрите также

double-linked list; empty list; linked list

linear transformation         
  • The function f:\R^2 \to \R^2 with f(x, y) = (2x, y) is a linear map. This function scales the x component of a vector by the factor 2.
  • The function f(x, y) = (2x, y) is additive: It doesn't matter whether vectors are first added and then mapped or whether they are mapped and finally added: f(\mathbf a + \mathbf b) = f(\mathbf a) + f(\mathbf b)
  • The function f(x, y) = (2x, y) is homogeneous: It doesn't matter whether a vector is first scaled and then mapped or first mapped and then scaled: f(\lambda \mathbf a) = \lambda f(\mathbf a)
MAPPING THAT PRESERVES THE OPERATIONS OF ADDITION AND SCALAR MULTIPLICATION
Linear operator; Linear mapping; Linear transformations; Linear operators; Linear transform; Linear maps; Linear isomorphism; Linear isomorphic; Linear Transformation; Linear Transformations; Linear Operator; Homogeneous linear transformation; User:The Uber Ninja/X3; Linear transformation; Bijective linear map; Nonlinear operator; Linear Schrödinger Operator; Vector space homomorphism; Vector space isomorphism; Linear extension of a function; Linear extension (linear algebra); Extend by linearity; Linear endomorphism

['liniətrænsfə'meiʃ(ə)n]

общая лексика

линейное преобразование

linear mapping         
  • The function f:\R^2 \to \R^2 with f(x, y) = (2x, y) is a linear map. This function scales the x component of a vector by the factor 2.
  • The function f(x, y) = (2x, y) is additive: It doesn't matter whether vectors are first added and then mapped or whether they are mapped and finally added: f(\mathbf a + \mathbf b) = f(\mathbf a) + f(\mathbf b)
  • The function f(x, y) = (2x, y) is homogeneous: It doesn't matter whether a vector is first scaled and then mapped or first mapped and then scaled: f(\lambda \mathbf a) = \lambda f(\mathbf a)
MAPPING THAT PRESERVES THE OPERATIONS OF ADDITION AND SCALAR MULTIPLICATION
Linear operator; Linear mapping; Linear transformations; Linear operators; Linear transform; Linear maps; Linear isomorphism; Linear isomorphic; Linear Transformation; Linear Transformations; Linear Operator; Homogeneous linear transformation; User:The Uber Ninja/X3; Linear transformation; Bijective linear map; Nonlinear operator; Linear Schrödinger Operator; Vector space homomorphism; Vector space isomorphism; Linear extension of a function; Linear extension (linear algebra); Extend by linearity; Linear endomorphism

математика

линейное отображение

linear operator         
  • The function f:\R^2 \to \R^2 with f(x, y) = (2x, y) is a linear map. This function scales the x component of a vector by the factor 2.
  • The function f(x, y) = (2x, y) is additive: It doesn't matter whether vectors are first added and then mapped or whether they are mapped and finally added: f(\mathbf a + \mathbf b) = f(\mathbf a) + f(\mathbf b)
  • The function f(x, y) = (2x, y) is homogeneous: It doesn't matter whether a vector is first scaled and then mapped or first mapped and then scaled: f(\lambda \mathbf a) = \lambda f(\mathbf a)
MAPPING THAT PRESERVES THE OPERATIONS OF ADDITION AND SCALAR MULTIPLICATION
Linear operator; Linear mapping; Linear transformations; Linear operators; Linear transform; Linear maps; Linear isomorphism; Linear isomorphic; Linear Transformation; Linear Transformations; Linear Operator; Homogeneous linear transformation; User:The Uber Ninja/X3; Linear transformation; Bijective linear map; Nonlinear operator; Linear Schrödinger Operator; Vector space homomorphism; Vector space isomorphism; Linear extension of a function; Linear extension (linear algebra); Extend by linearity; Linear endomorphism

математика

линейный оператор

nonlinear operator         
  • The function f:\R^2 \to \R^2 with f(x, y) = (2x, y) is a linear map. This function scales the x component of a vector by the factor 2.
  • The function f(x, y) = (2x, y) is additive: It doesn't matter whether vectors are first added and then mapped or whether they are mapped and finally added: f(\mathbf a + \mathbf b) = f(\mathbf a) + f(\mathbf b)
  • The function f(x, y) = (2x, y) is homogeneous: It doesn't matter whether a vector is first scaled and then mapped or first mapped and then scaled: f(\lambda \mathbf a) = \lambda f(\mathbf a)
MAPPING THAT PRESERVES THE OPERATIONS OF ADDITION AND SCALAR MULTIPLICATION
Linear operator; Linear mapping; Linear transformations; Linear operators; Linear transform; Linear maps; Linear isomorphism; Linear isomorphic; Linear Transformation; Linear Transformations; Linear Operator; Homogeneous linear transformation; User:The Uber Ninja/X3; Linear transformation; Bijective linear map; Nonlinear operator; Linear Schrödinger Operator; Vector space homomorphism; Vector space isomorphism; Linear extension of a function; Linear extension (linear algebra); Extend by linearity; Linear endomorphism

математика

нелинейный оператор

linear endomorphism         
  • The function f:\R^2 \to \R^2 with f(x, y) = (2x, y) is a linear map. This function scales the x component of a vector by the factor 2.
  • The function f(x, y) = (2x, y) is additive: It doesn't matter whether vectors are first added and then mapped or whether they are mapped and finally added: f(\mathbf a + \mathbf b) = f(\mathbf a) + f(\mathbf b)
  • The function f(x, y) = (2x, y) is homogeneous: It doesn't matter whether a vector is first scaled and then mapped or first mapped and then scaled: f(\lambda \mathbf a) = \lambda f(\mathbf a)
MAPPING THAT PRESERVES THE OPERATIONS OF ADDITION AND SCALAR MULTIPLICATION
Linear operator; Linear mapping; Linear transformations; Linear operators; Linear transform; Linear maps; Linear isomorphism; Linear isomorphic; Linear Transformation; Linear Transformations; Linear Operator; Homogeneous linear transformation; User:The Uber Ninja/X3; Linear transformation; Bijective linear map; Nonlinear operator; Linear Schrödinger Operator; Vector space homomorphism; Vector space isomorphism; Linear extension of a function; Linear extension (linear algebra); Extend by linearity; Linear endomorphism

математика

линейный эндоморфизм

linear mapping         
  • The function f:\R^2 \to \R^2 with f(x, y) = (2x, y) is a linear map. This function scales the x component of a vector by the factor 2.
  • The function f(x, y) = (2x, y) is additive: It doesn't matter whether vectors are first added and then mapped or whether they are mapped and finally added: f(\mathbf a + \mathbf b) = f(\mathbf a) + f(\mathbf b)
  • The function f(x, y) = (2x, y) is homogeneous: It doesn't matter whether a vector is first scaled and then mapped or first mapped and then scaled: f(\lambda \mathbf a) = \lambda f(\mathbf a)
MAPPING THAT PRESERVES THE OPERATIONS OF ADDITION AND SCALAR MULTIPLICATION
Linear operator; Linear mapping; Linear transformations; Linear operators; Linear transform; Linear maps; Linear isomorphism; Linear isomorphic; Linear Transformation; Linear Transformations; Linear Operator; Homogeneous linear transformation; User:The Uber Ninja/X3; Linear transformation; Bijective linear map; Nonlinear operator; Linear Schrödinger Operator; Vector space homomorphism; Vector space isomorphism; Linear extension of a function; Linear extension (linear algebra); Extend by linearity; Linear endomorphism
линейное отображение
linear programming         
  • planes]] (not shown). The linear programming problem is to find a point on the polyhedron that is on the plane with the highest possible value.
  • [[John von Neumann]]
  • [[Leonid Kantorovich]]
  • convex]] [[feasible region]] of possible values for those variables. In the two-variable case this region is in the shape of a convex [[simple polygon]].
PROGRAMMING METHOD TO ACHIEVE THE BEST OUTCOME IN A MATHEMATICAL MODEL
Linear program; Linear programme; 0-1 integer programming; Linear Programming; Linear optimization; Mixed integer programming; Lp solve; LP problem; 0–1 integer program; 0-1 linear programming; 0-1 integer program; Linear programmer; Linear programmers; Linear programs; Binary integer programming; Integer programs; Integer linear programs; 0-1 integer programs; Binary integer program; Binary integer programs; Mixed integer program; Mixed integer programs; Linear programming problem; Mixed integer linear programming; 1-0 linear programming; Integral linear program; Linear programming formulation; Linear optimisation; Linear programming Formulation; Integral polyhedron; Linear problem; LP duality; Complementary slackness; Algorithms for linear programming; Linear programming algorithms; Applications of linear programming; List of solvers for linear programming; List of linear programming solvers; History of linear programming; MILP
линейное программирование
complementary slackness         
  • planes]] (not shown). The linear programming problem is to find a point on the polyhedron that is on the plane with the highest possible value.
  • [[John von Neumann]]
  • [[Leonid Kantorovich]]
  • convex]] [[feasible region]] of possible values for those variables. In the two-variable case this region is in the shape of a convex [[simple polygon]].
PROGRAMMING METHOD TO ACHIEVE THE BEST OUTCOME IN A MATHEMATICAL MODEL
Linear program; Linear programme; 0-1 integer programming; Linear Programming; Linear optimization; Mixed integer programming; Lp solve; LP problem; 0–1 integer program; 0-1 linear programming; 0-1 integer program; Linear programmer; Linear programmers; Linear programs; Binary integer programming; Integer programs; Integer linear programs; 0-1 integer programs; Binary integer program; Binary integer programs; Mixed integer program; Mixed integer programs; Linear programming problem; Mixed integer linear programming; 1-0 linear programming; Integral linear program; Linear programming formulation; Linear optimisation; Linear programming Formulation; Integral polyhedron; Linear problem; LP duality; Complementary slackness; Algorithms for linear programming; Linear programming algorithms; Applications of linear programming; List of solvers for linear programming; List of linear programming solvers; History of linear programming; MILP

теория графов

дополняющая нежёсткость

linear programming         
  • planes]] (not shown). The linear programming problem is to find a point on the polyhedron that is on the plane with the highest possible value.
  • [[John von Neumann]]
  • [[Leonid Kantorovich]]
  • convex]] [[feasible region]] of possible values for those variables. In the two-variable case this region is in the shape of a convex [[simple polygon]].
PROGRAMMING METHOD TO ACHIEVE THE BEST OUTCOME IN A MATHEMATICAL MODEL
Linear program; Linear programme; 0-1 integer programming; Linear Programming; Linear optimization; Mixed integer programming; Lp solve; LP problem; 0–1 integer program; 0-1 linear programming; 0-1 integer program; Linear programmer; Linear programmers; Linear programs; Binary integer programming; Integer programs; Integer linear programs; 0-1 integer programs; Binary integer program; Binary integer programs; Mixed integer program; Mixed integer programs; Linear programming problem; Mixed integer linear programming; 1-0 linear programming; Integral linear program; Linear programming formulation; Linear optimisation; Linear programming Formulation; Integral polyhedron; Linear problem; LP duality; Complementary slackness; Algorithms for linear programming; Linear programming algorithms; Applications of linear programming; List of solvers for linear programming; List of linear programming solvers; History of linear programming; MILP
линейное программирование

Определение

ВИРУСЫ
(от лат. virus - яд), мельчайшие неклеточные частицы, состоящие из нуклеиновой кислоты (ДНК или РНК) и белковой оболочки (капсида). Форма палочковидная, сферическая и др. Размер 15 - 350 нм и более. Открыты (вирусы табачной мозаики) Д. И. Ивановским в 1892. Вирусы - внутриклеточные паразиты: размножаясь только в живых клетках, они используют их ферментативный аппарат и переключают клетку на синтез зрелых вирусных частиц - вирионов. Распространены повсеместно. Вызывают болезни растений, животных и человека. Резко отличаясь от всех других форм жизни, вирусы, подобно другим организмам, способны к эволюции. Иногда их выделяют в особое царство живой природы. Вирусы широко применяются в работах по генетической инженерии, канцерогенезу. Вирусы бактерий (бактериофаги) - классический объект молекулярной биологии.

Википедия

Linear park

A linear park is a type of park that is significantly longer than it is wide. These linear parks are strips of public land running along canals, rivers, streams, defensive walls, electrical lines, or highways and shorelines. Examples of linear parks include everything from wildlife corridors to riverways to trails, capturing the broadest sense of the word. Other examples include rail trails ("rails to trails"), which are disused railroad beds converted for recreational use by removing existing structures. Commonly, these linear parks result from the public and private sectors acting on the dense urban need for open green space. Linear parks stretch through urban areas, coming through as a solution for the lack of space and need for urban greenery. They also effectively connect different neighborhoods in dense urban areas as a result, and create places that are ideal for activities such as jogging or walking. Linear parks may also be categorized as greenways. In Australia, a linear park along the coast is known as a foreshoreway. When being designed, linear parks appear unique as they are planned around the public's opinion of how the space will affect them.

Как переводится linear list на Русский язык