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OVERVIEW
Linear Algebra...


Linear algebra concerns itself with the manipulation of vector and matrices. The concepts of linear algebra are not difficult, and linear algebra is usually taught in high school.

The concise notation introduced in linear algebra for vector and matrix operations can be directly adapted to object-oriented programming. Science and engineering often encounter many physical quantities that are vectors, including velocity, acceleration, force and momentum as well as solving linear equations with multiple variables. At KMP we have developed linear algebra algorithms and offer a quick glance of operations defined for vectors and matrices introduced under (see menu)  "Vectors and Matrices in Smalltalk",   "Math Operations on Vectors" and   "Number Matrix Manipulation".

These basic techniques have been applied to a wide variety of fields, from operations research to mineral engineering.

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EIGENVALUE SOLUTIONS...
Eigen Inverse Iteration
Rayleigh-Quotient Method

INTERPOLATION APPLICATIONS...
Cubic Spline Method
Newton Divided Difference

 

Applied Mathematical Algorithms

     Home Complex Functions
A complex number z = x + iy, where...

Complex Functions
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Non-linear system methods...

Non Linear Systems
     Home Differentiation
Construction of differentiation...

Differentiation
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Consider the function where...

Integration
 
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