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Miloslav Ciz 2021-12-26 18:53:37 -06:00
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@ -12,7 +12,7 @@ Following are some areas of math one, as a programmer, should be familiar with:
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- **basics** (high-school level math): arithmetic, expression simplification, equations, geometry, trigonometry, systems of linear equations, quadratic equations, [complex numbers](complex_number.md), logarithms, analythical geomtery (many problems generalize to intersecions of N-dimensional shapes), [polynomials](polynomial.md) (used in many areas, e.g. error correction codes in networking), ...
- **basics** (high-school level math): arithmetic, expression simplification, functions, equations, geometry, trigonometry, systems of linear equations, quadratic equations, [complex numbers](complex_number.md), logarithms, analythical geomtery (many problems generalize to intersecions of N-dimensional shapes), [polynomials](polynomial.md) (used in many areas, e.g. error correction codes in networking), ...
- **advanced notation**: ability to understand the notation that's often used in papers etc. (the big sigma for sum etc.)
- **formal [logic](logic.md)**: computers are based on Boolean logic, knowing basic formulas and theorems here is crucial (e.g. the completeness of [NAND](nand.md)), formal logic is also just generally used in formal texts, one should know about predicate vs propositional logic, the notation symbols, etc.
- **[linear algebra](linear_algebra.md)**: aka "vectors and matrices", essential in many fields such as [graphics](graphics.md) and [machine learning](machine_learning.md).