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Matrix Algebra

In mathematics, a matrix (plural matrices, or less commonly matrixes) is a rectangular array of numbers, as shown at the right. One use of matrices is to keep track of the coefficients in a system of linear equations. Matrices can also represent linear transformations, which are higher-dimensional analogs of linear functions of the form f(x) = cx, where c is a constant. They can be added and subtracted entry-wise, and multiplied according to a rule corresponding to composition of linear transformations. These operations satisfy the usual identities, except that matrix multiplication is not commutative: the identity AB=BA can fail. For a square matrix, the determinant and inverse matrix (when it exists) govern the behavior of solutions to the corresponding system of linear equations, and eigenvalues and eigenvectors provide insight into the geometry of the associated linear transformation. - Wikipedia




Addition & Subtraction Multiplication by a Scalar Constant
Matrix Algebra Addition & Subtraction - RF Cafe    RF Cafe: Matrix Algebra Matrix Algebra kA = [kaij] - RF Cafe
Multiplication Inverse
RF Cafe: Matrix Algebra Matrix Algebra Multiplication - RF Cafe Matrix Algebra Dot Product - RF Cafe Matrix Algebra Inverse - RF Cafe RF Cafe: Matrix Algebra RF Cafe: Matrix Algebra RF Cafe: Matrix Algebra RF Cafe: Matrix Algebra


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RF Cafe Software

RF Cascade Workbook
RF Cascade Workbook is a very extensive system cascaded component Excel workbook that includes the standard Gain, NF, IP2, IP3, Psat calculations, input & output VSWR, noise BW, min/max tolerance, DC power cauculations, graphing of all RF parameters, and has a graphical block diagram tool. An extensive User's Guide is also included. - Only $35.
RF system analysis including
frequency conversion & filters

RF & EE Symbols Word
RF Stencils for Visio

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RF Cafe Software

Calculator Workbook
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Smith Chart™ for Visio
Smith Chart™ for Excel