Computational algebra applications in reliability theory

Computational Noncommutative Algebra and

Computational Noncommutative Algebra and Applications

✍ Byrnes B. (Ed) 📂 Library 📅 2004 🏛 Kluwer Academic Publishers 🌐 English ⚖ 6 MB

The fusion of algebra, analysis and geometry, and their application to real world problems, have been dominant themes underlying mathematics for over a century. Geometric algebras, introduced and classified by Clifford in the late 19th century, have played a prominent role in this effort, as seen in

Matrix Algebra: Theory, computations, an

Matrix Algebra: Theory, computations, and applications in statistics

✍ James E. Gentle 📂 Library 📅 2007 🏛 Springer 🌐 English ⚖ 2 MB

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vecto

Matrix Algebra. Theory, Computations and

Matrix Algebra. Theory, Computations and Applications in Statistics

✍ Gentle 📂 Library 📅 2007 🏛 Springer 🌐 English ⚖ 4 MB

Matrix Algebra: Theory, Computations, an

Matrix Algebra: Theory, Computations, and Applications in Statistics

✍ James E. Gentle 📂 Library 📅 2007 🏛 Springer 🌐 English ⚖ 4 MB

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vecto

Applications of Graph Theory in Linear A

Applications of Graph Theory in Linear Algebra

✍ Michael Doob 📂 Article 📅 1984 🏛 Mathematical Association of America 🌐 English ⚖ 1010 KB

J.E. Gentle: Matrix Algebra—Theory, Comp

J.E. Gentle: Matrix Algebra—Theory, Computations, and Applications in Statistics

✍ Götz Uebe 📂 Article 📅 2008 🏛 Springer-Verlag 🌐 English ⚖ 87 KB