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Maths - Matrix algebra - Further Reading

cover us uk de jp fr ca Matrix Computations

cover us uk de jp fr ca Schaum's Outline of Theory and Problems of Tensor Calculus - I'm finding this hard going, it starts off with as review of linear algebra, matrix notation, etc. It redefines a lot of conventions which are hard to relearn, such as superscrips instead of subscripts to identify elements, and a summation convention, then it goes into coordinate transformations. I cant find any definition of what a tensor is. I think this book is aimed at people who already have some knowledge of the subject.

cover us uk de jp fr ca Tensor Calculus and Analytical Dynamics

cover Tensor Analysis on Manifolds.


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Book Shop - Further reading.

Where I can, I have put links to Amazon for books that are relevant to the subject, click on the appropriate country flag to get more details of the book or to buy it from them.

 

cover us uk de jp fr ca Matrix Computations

Other Math Books

Commercial Software Shop

Where I can, I have put links to Amazon for commercial software, not directly related to the software project, but related to the subject being discussed, click on the appropriate country flag to get more details of the software or to buy it from them.

 

cover Dark Basic Professional Edition - It is better to get this professional edition

cover This is a version of basic designed for building games, for example to rotate a cube you might do the following:
make object cube 1,100
for x=1 to 360
rotate object 1,x,x,0
next x

cover Game Programming with Darkbasic - book for above software

Can you help?

Please send me any improvements to here. I would appreciate ideas to make the pages more useful including error correction, ideas for new pages, improvements to wording. It helps if you quote the full URL of the page.

I need to expand to cover the following topics:

  • Unit matrix
  • Symmetric and skew-symmetric
  • Adjoint and Reciprocol
  • Orthogonal and unitary
  • Scale
  • Translation
  • Orthogonal
  • Rigid
  • Congruent
  • Affine
  • multiply by scalar
  • multiply by vector

if [I][a] = [a] does [a][I] = [a] ?

if [b][b]-1=[I] does [b]-1[b] =[I] ?

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