# subdiagonal

## subdiagonal

In a truss, an intermediate diagonal of a web, 1 joining a chord with a main diagonal.
McGraw-Hill Dictionary of Architecture and Construction. Copyright © 2003 by McGraw-Hill Companies, Inc.
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A subdiagonal representa a proporcao das arvores que se movem para o proximo estado, como exemplo, a classe 17,5 e 22,5 cm, respectivamente, proporcoes de 0,099 e 0,094.
However, the stability condition for the case that G [not equal to] [??] becomes complex, since the subdiagonal delays exist in C, and this will be a subject of ongoing research.
Note that the infinite-dimensional Jacobi matrix corresponding to the discrete Schrodinger operator has the super- and subdiagonal matrix elements [a.sub.j] = -1 for all j [member of] N.
The main diagonal regions I and III of the two-dimensional histogram denote, respectively, the target and background; the subdiagonal regions II and IV present severally the edge and noise, as shown in Figure 1.
cdiv(k) divides the subdiagonal elements of column k by the square root of the diagonal element in that column, and cmod(k, i) modifies column k by subtracting a multiple of column i.
Tiene una vetilla subdiagonal de color grisaceo que atraviesa diagonalmente la cara anterior cercana a la base y por el borde derecho (Figura 13).
in which [V.sub.*] is a block diagonal matrix with M blocks and [V.sub.*i] are i x i matrices with entries of 1 on the diagonal and -1 on the first subdiagonal.
Obviously, the reservoir matrix W has the property that nonzero values are located on the lower subdiagonal of W; that is, [W.sub.i+1,i] = r for i = 1, ..., N - 1, where r is the weight of all the feedforward connections.
At last the replaced part is transformed into triangular form keeping the reflection normals in the subdiagonal part of R.
An (upper) Hessenberg matrix is a square matrix having zero entries below the first subdiagonal. Hessenberg matrices prove their usefulness especially in numerical analysis and computer programming, being a sort of normal form to which any square matrix can be reduced in a finite number of steps.
All matrices have the same main diagonal but in the subdiagonal values differing in sign.

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