Linear Algebra with Mathematica

This website provides two things: One is comprised of equations and proofs which together constitute the bedrock of mathematics. The other is Wolfram software code which automates processing and reduces the tedium of solving many mathematical problems. The second, and the use of computers in general, must be viewed as a "black box" which may be specifically and completely understood only in terms of the equations and proofs contained therein.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the appendix entitled GNU Free Documentation License.
Mathematica is a great computer algebra system to use, especially if you are in applied areas where it is necessary to solve differential equations and other complicated problems. It was created by a brilliant entrepreneur, who inspired by Maxima, the first computer algebra system in the world, produced an elegant, coherent, and extremely general approach to computing. Mathematica provides friendly tools to solve and plot solutions to differential equations, but it is certainly not a panacea of all problems. This computer algebra system has tremendous plotting capabilities. There is a free version of Mathematica featuring its syntax and functions---Mathics that was developed by a team led by Jan Pöschko. It is backed by highly extensible Python code, relying on SymPy for most mathematical tasks. Mathics is released under the GNU General Public License (GPL).
A solution of a realistic problem is often hampered because the algebra is too complex for anyone but the dedicated researcher. Just as the calculator eliminated laborious numerical computations, symbolic software programs eliminate arduous algebraic computations. While computer power is no substitute for thinking, it spares the scientist from performing mundane mathematical steps, and thereby frees time for creative thinking. This tutorial can be used to introduce students who are taking the first course in Linear Algebra to a symbolic mathematical computation program Mathematica that was conceived by a theoretical physicist Stephen Wolfram (born in 1959 in London, England) in late 1980's.
Вместе с этим читают:
- APMA 2550: Finite Difference SchemesThe course intended for students who desire a rigorous development of the mathematical foundations of the methods used. This course provides further techniques of ordinary and partial differential equations, which are not covered by APMA 0330 and are of great importance in practice. Here are the main topics to be covered (syllabus): Topics from matrix algebra. Systems of linear ordinary differenti...
- APMA 1180: Numerical Solution of DifferentialThe course intended for students who desire a rigorous development of the mathematical foundations of the methods used. This course provides further techniques of ordinary and partial differential equations, which are not covered by APMA 0330 and are of great importance in practice. Here are the main topics to be covered (syllabus): Basic concepts. Root finding. Solutions of nonlinear systems of e...
- APMA 0360: Partial Differential EquationsThe course APMA0360 intended for students who desire a rigorous development of the mathematical foundations of the methods used. This course provides further techniques of partial differential equations, which are not covered by APMA 0340 and are of great importance in practice. Here are the main topics to be covered: Basic partial differential equations. Sturm--Liuville problems and orthogonal ex...
- APMA 0340: Methods of Applied Mathematics - IIThe course intended for students who desire a rigorous development of the mathematical foundations of the methods used. This course provides further techniques of ordinary and partial differential equations, which are not covered by APMA 0330 and are of great importance in practice. Here are the main topics to be covered (syllabus): Topics from matrix algebra. Systems of linear ordinary differenti...
- Computing InformationThe following links will lead you to applications of differential equations using particular software It should be pointed out from the very beginning that any software is only a tool. As a very important tool, it is more useful if its user has thought through the details of the task for which the tool is designed. Once you have learned the concepts behind the differential equations (which is the ...
- APMA 0330: Methods of Applied Mathematics - IMathematical techniques involving differential equations used in the analysis of physical, biological and economic phenomena. Emphasis is placed on the use of established methods, rather than rigorous foundations. First and second order differential equations. Variable coefficient second order linear differential equations. The Laplace transform. Numerical methods. Software as a Learning Resource ...
- Computational Linear AlgebraThe cybernetic revolution that occured on the eve of twenty-one century effected our life in all demeanors. The collection, organization, transformation, and interpretation of information are the cornerstones of science, inductry, business, and goverment. Each of these aspects of information management uses mathematics as a tool. Linear algebra has undergone a real metamorphosis during this centur...