Table of contents:
Basic Linear Algebra. Basic Numerical Linear Algebra. Computer Algebra Systems for Linear Algebra. Applications of Basic Linear Algebra. Advanced Linear Algebra. Advanced Numeral Linear Algebra. Packages of Fortran Subroutines for Linear Algebra. Applications of Advanced Linear Algebra. Combinatorial Matrix Theory and Graphs.
Handbook of Linear Algebra covers all aspects of linear algebra, including fundamentals, numerical linear algebra, software packages for computation in linear algebra, and various applications, such as quantum computing, control theory, image compression, and computational biology. The author addresses combinatorial Matrix theory and features Matrix notation throughout the text. The book includes a chapter on software that provides extensive coverage of MATLAB, Maple, and Mathematica and contains details of Fortran subroutines available for linear algebra such as LAPACK and ARPACK. Rather than presenting long mathematical proofs, the text provides numerous references for additional information.
Handbook of Linear Algebra covers all aspects of linear algebra, including fundamentals, numerical linear algebra, software packages for computation in linear algebra, and various applications, such as quantum computing, control theory, image compression, and computational biology. The author addresses combinatorial Matrix theory and features Matrix notation throughout the text. The book includes a chapter on software that provides extensive coverage of MATLAB, Maple, and Mathematica and contains details of Fortran subroutines available for linear algebra such as LAPACK and ARPACK. Rather than presenting long mathematical proofs, the text provides numerous references for additional information.
Basic Linear Algebra. Basic Numerical Linear Algebra. Computer Algebra Systems for Linear Algebra. Applications of Basic Linear Algebra. Advanced Linear Algebra. Advanced Numeral Linear Algebra. Packages of Fortran Subroutines for Linear Algebra. Applications of Advanced Linear Algebra. Combinatorial Matrix Theory and Graphs.
Handbook of Linear Algebra covers all aspects of linear algebra, including fundamentals, numerical linear algebra, software packages for computation in linear algebra, and various applications, such as quantum computing, control theory, image compression, and computational biology. The author addresses combinatorial Matrix theory and features Matrix notation throughout the text. The book includes a chapter on software that provides extensive coverage of MATLAB, Maple, and Mathematica and contains details of Fortran subroutines available for linear algebra such as LAPACK and ARPACK. Rather than presenting long mathematical proofs, the text provides numerous references for additional information.
Handbook of Linear Algebra covers all aspects of linear algebra, including fundamentals, numerical linear algebra, software packages for computation in linear algebra, and various applications, such as quantum computing, control theory, image compression, and computational biology. The author addresses combinatorial Matrix theory and features Matrix notation throughout the text. The book includes a chapter on software that provides extensive coverage of MATLAB, Maple, and Mathematica and contains details of Fortran subroutines available for linear algebra such as LAPACK and ARPACK. Rather than presenting long mathematical proofs, the text provides numerous references for additional information.