Earlier quoted context omitted.
Would you be able to elaborate on "algebraical vs geometrical" thinking? I've noticed myself that there are two types of "math" that people tend to be good at: 1) Algorithmic - Following a set of steps to achieve a particular result. Algorithms, discrete math, "compsci" math, and procedural and OO programming. Coders tend to be good at this kind. 2) "Abstract" - "Pure Math", what I would label as the harder kind of m…
I know that I personally am much stronger with algebraic math than geometrical math. For me, that means that integrals, linear algebra, etc are something that I'm strong at, but I'm poor at anything that requires spatial reasoning. That's different from your two types. For example, take your "calculating the intersection of planes." I would approach that by first writing the algebraic equations that define the two pl…
For example, for an intersection of two planes going through origin, the plane equation coefficients are (a multiple of) the of the normal vector coefficients. Now, the intersection vector must be perpendicular to both planes normals, so if you take the cross product of the two vectors, you get the intersection vector.
This in this case I would just look at it and instantly do a cross product of the coefficients, whereas you would eventually do precisely the same, but reasoning algebraically, perhaps just as fast.
In this case, thinking algebraically doesn't seem to yield the intimate relationship with your object of study required for creativity, just because of the geometric nature of it.
But this reasoning wouldn't be much use in -- for instance -- fiddling with discrete mathematics, where you may get more intimate precisely by reasoning algebraically!