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词汇 example_english_linear-equation
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Examples of linear equation


These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
The resulting linearequation was solved for using a banded solver.
The threshold value c = 4 is the speed of propagation for solutions of the linearequation with spatially localized initial conditions.
The linearequation that best expressed this relationship across all vessels in the sample was then solved for using regression analysis.
The simplest model is that of a perturbed linearequation with parameters (the perturbation is nonlinear).
We therefore use a linearequation of state for surface tension.
Unknown to them, the parameters of the system are governed by a linearequation.
There are two reasons why $, determined from the linearequation (?), takes non-zero values below this line.
Perturbation methods are applied to the basic equations of flow to obtain a linearequation governing the stream function of the perturbation.
Beyond its theoretical value, the relation is a simple linearequation and can be used to facilitate computations.
The day of incubation was calculated with the linearequation and was accurate within + 1.64 days for 2002 and + 1.03 days for 2003 nests.
This inhomogeneous linearequation may be solved by standard methods.
This linear system can be reduced to a full rank linearequation system, where only the base parameters of the model independently determining the dynamic behavior of the system appear.
The functions u, v are determined as solutions of the second initial boundary value problem for the linearequation of heat conduction (the details are omitted).
Next we make a linearequation on the force as unknown variables using dynamics equations of separated serial manipulators, and solve the equations to get the force.
So, if care is taken to reflect properly the properties of the differential equations in their discretization, attention can often be concentrated on the solution of the linearequation systems.
Rather than solving this full matrix equation, one notes that, of all the in the linearequation, only one, namely, is not small.
From
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To solve a linearequation with two variables (unknowns), requires two related equations.
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Typically, solutions of linearequation have slightly less complexity.
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The linearequation had a confidence interval of 58 bpm and the nonlinear equation had a tighter range of 25 bpm.
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In general, a linearequation in variables describes a hyperplane, and a system of linear equations describes the intersection of those hyperplanes.
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Starting with a linearequation, one can create linear functions, but this is a more subtle operation and must be done with care.
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To have an algorithmic solution of linear systems, a solution for a single linearequation in two unknowns is clearly required.
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This approximation yields a straightforward linearequation describing the phenomenon.
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For three variables, each linearequation determines a plane in three-dimensional space, and the solution set is the intersection of these planes.
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For a description of linear and nonlinear equations, see "linearequation".
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Despite being nonlinear, the model can be solved explicitly, since it is in fact an inhomogeneous linearequation in 1/ "n".
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In an ideal cipher, any linearequation relating plaintext, ciphertext and key bits would hold with probability 1/2.
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The two subtleties in the above analysis are that the resulting point is a quadratic equation (not a linearequation), and that the constraints are independent.
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The model is a set of simultaneous linear equations.
We would like to point out to the reader the similarity of the argument below to one used for linear equations.
Linear equations in variables which lie in a multiplicative group.
Mixing and linear equations over groups in positive characteristic.
The third issue concerns the system of linear equations.
The mesh was also generated to minimize the time required to solve the set of linear equations created by the finite element code.
Algebraically, this means it is given by four linear equations.
Unfortunately, unlike many linear equations, these nonlinear equations are generally not solvable in closed functional mathematical form.
The model was based on the solution of a number of linear equations, which produce a smooth potential and have no singularities.
This procedure leads to an infinite system of linear equations that must be closed by neglecting the moments up to a given order.
The resulting linear equations would be easily solvable using the specific tridiagonal structure.
These proofs require no detailed asymptotics for solution of the linear equations.
These proofs do not require detailed asymptotics for the parabolic cylinder functions which solve the relevant linear equations.
It is based on the fact that with our choice of the metric the geodesics are governed by linear equations.
Nonlinear effects are not significant here and some general properties of the linear equations are relevant.
The coefficients of subsequent terms in the series (14) are given by the solution of systems of linear equations written in general form at (17).
It thus seems of interest to consider other conditions under which the general and linear equations of an incompressible fluid possess similar exact solutions.
The roughness produces a three-dimensional modification of the flow field which, in the limit of small roughness amplitude, is described by linear equations.
The model data typically consist of material parameters, linearequation solver parameters, nodes coordinates, points coordinates, elements connectivity data, columns definition, cells definition and internal points coordinates.
From
Wikipedia

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We instead assume uncertainty about the values of coefficients of the linear equations of the structural model.
In fact, the commentators qualify in this way only one among the other procedures: the algorithm for solving systems of simultaneous linear equations, mentioned above.
Other problems like proportions and linear equations employed different methods appropriate to the problems.
Equation 13 is actually a set of linear equations, the unknowns of which are the flows in the resistance chords of the graph.
With a little ingenuity, instability can be avoided, at least for linear equations.
This theorem is remarkable since it says that one can solve underdetermined systems of linear equations by linear programming.
Note that, once is known, the transport equations are linear equations with variable coefficients.
This equation can also be found directly from the linear equations.
In the fir st-order approximation, we obtain a system of linear equations for the variables, denoted with super script '(1)'.
In the fir st-order approximation, we obtain a system of homogeneous linear equations for the variables with the super script (1).
If these manipulations are carried out, we obtain a set of homogeneous linear equations in the expansion coefficients of the trial functions.
Simple matrix inverting procedures are applied for the linear equations to get solutions that actually correspond to boundary points of allowable taskvelocity space.
By contrast, linear equations should suffice for the modelling of the hull, because it is not expected to undergo large displacements.
We also introduce linear equations to extend the results to certain quotient monads.
One reason might be that electromagnetism is described by a generically linear theory, in the sense that linear equations arise from basic physical principles.
These limit state equations are again replaced by equivalent linear equations.
To illustrate the approach, the solution of a set of linear equations is considered.
Another explanation is that when segregated approaches are used, standard sparse linear equations packages are often sufficient to solve the reduced linear systems.
That is, call a set of integers 'large' if it contains solutions to all partition regular systems of homogeneous linear equations.
The linear equations governing the subsequent coefficients of the series solution and detailed results for the leading axisymmetric and rotational effects are then given ($4).
It is also shown that, without neglecting the displacement current, there exist solutions of the linear equations which are also solutions of the exact equations.
In particular, it will be shown how to solve (homogeneous or non-homogeneous) linear equations, possibly with non-constant coefficients.
This algorithm involves solving large sparse systems of linear equations.
The algebraic solution of 304 coupled linear equations in 274 variables is a tedious task, even with the aid of computer algebra packages.
This also suggests that the linear equations (2.23) and (2.24), which relate the flux of fluid through the contact line to the difference in chemical potential, should be nonlinear.
Bounded solutions of scalar, almost periodic linear equations.
The correction involved the solution of a cell problem in the analytic case and the solution of a system of linear equations for the wavelet-based methodology.
Equations (6.12) represent a set of linear equations in factored form.
Some of the algorithms to be presented later are aimed at the general equation (2.25), while others are aimed at exploiting the special structure of linear equations.
Since the switching rules consist of a system of linear equations with integer coefficients, the set of rational solutions (rational coordinates) is dense in the set of solutions.
If the displacement current is neglected the exact equations are identical with the linearized ones and thus exact solutions of the linear equations are also solutions of the complete equations.
Some explicit solutions of the linear equations are obtained for plane flows and for axi-symmetric flows in which the velocity vector lies in a vertical, meridional plane.
In the area of differential equations, linear equations simply assume that rates of change follow generalized straight line functions of the variables rather than curved line functions.
Future studies may include a mathematical analysis of the relation between the proposed method and the previous methods for the minimum infinity-norm solution of a class of linear equations.
In contrast to the rule of three, the procedure for solving systems of simultaneous linear equations is described within the context of a problem dealing with the production of millets.
On diagonability and reducibility of linear equations.
Simple linear equations are taught from key stage 3.
From the
Hansard archive

Example from the Hansard archive. Contains Parliamentary information licensed under the Open Parliament Licence v3.0
Clerks in a clearing-house will not want to waste time solving linear equations; but there is a moving forward in the world of complicated analysing and calculating machines.
From the
Hansard archive

Example from the Hansard archive. Contains Parliamentary information licensed under the Open Parliament Licence v3.0
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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