Computing for Numerical Methods Using Visual C++ by Shaharuddin Salleh, Visit Amazon's Albert Y. Zomaya Page,

By Shaharuddin Salleh, Visit Amazon's Albert Y. Zomaya Page, search results, Learn about Author Central, Albert Y. Zomaya, , Sakhinah A. Bakar

Urged for all Engineers, very useful booklet on Numerical Computing with Examples in visible C++ utilizing MFC. The hyperlink of the code obtain is damaged, whereas discovering ultimately bought it - here's the single. . get pleasure from :)

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N . The program demonstrates the full implementation of the dynamic memory allocation scheme for two-dimensional arrays. info DYNAMIC MEMORY ALLOCATION 21 cout << endl; } cout << endl << "Matrix C (A multiplied by B):" << endl; for (i=1; i<=M; i++) { for (j=1;j<=N;j++) { c[i][j]=0; for (k=1;k<=P;k++) c[i][j] += a[i][k]*b[k][j]; cout << c[i][j] << " "; } cout << endl; } for (i=1;i<=M;i++) delete a[i]; for (j=1;j<=P;j++) delete b[j]; for (k=1;k<=M;k++) delete c[k]; delete a,b,c; } The declaration and coding for arrays with higher dimensions in dynamic memory allocation follow a similar format as those in the one- and two-dimensional arrays.

An array is suitable for storing quantities such as the color pixel values of an image, the temperature of the points in a rectangular grid, the pressure of particles in the air and the values returned by sensors in an electromagnetic field. An array is considered large if its size is large. One typical example of large arrays is one that represents an image. A fine and crisp rectangular image of size 1 MB produced from a digital camera may have pixels formed from hundreds of rows and columns. Each pixel in the image stores an integer value representing its color in the red, green, and blue scheme.

Opposite to the upper triangular matrix is the lower triangular matrix L = [li j ], where li j = 0 for i < j. 10) L= . * * * 0 * * * * A square matrix A is reduced to U or L through a series of row operations. Row operation is a technique for reducing a row in a matrix into a simpler form by performing an algebraic operation with another row in the matrix. Matrix A, when reduced to U or L, is said to be equivalent to that matrix. In general, a square matrix with N rows requires N − 1 row operations with respect to rows 1, 2, .

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