It takes the average reader 8 hours and 33 minutes to read Hierarchical Matrices: Algorithms and Analysis by Wolfgang Hackbusch
Assuming a reading speed of 250 words per minute. Learn more
This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the approximation of matrix functions, e.g., the matrix exponential. Other applications include the solution of matrix equations, e.g., the Lyapunov or Riccati equation. The required mathematical background can be found in the appendix. The numerical treatment of fully populated large-scale matrices is usually rather costly. However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion and LU decomposition. Since large-scale linear algebra problems are standard in scientific computing, the subject of hierarchical matrices is of interest to scientists in computational mathematics, physics, chemistry and engineering.
Hierarchical Matrices: Algorithms and Analysis by Wolfgang Hackbusch is 511 pages long, and a total of 128,261 words.
This makes it 172% the length of the average book. It also has 157% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 11 hours and 40 minutes to read Hierarchical Matrices: Algorithms and Analysis aloud.
Hierarchical Matrices: Algorithms and Analysis is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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