 I do write
things, both for fun and profit, that have patterns similar to integration and
differentiation.

Related to what I said in another comment[1], there's rarely a binary
influence from my (admittedly very limited) mathematical and theoretical
background, where a decision would go one way with it and another without.
Rather, my understanding of calculus and probability shapes the way I think
about and approach problems.

For example, when I see a problem that looks like one of gathering data and
accumulating a result, I can recognize that it looks similar to a numeric
integral, and apply what I know about integration to solving the problem.
Integrals and derivatives are also constantly in my mind when I think about
the physics of the world around me.

Probability, especially Bayesian reasoning, also influence the way I perceive
and approach problems, both in software and in reality. Consciously thinking
about prior expectation combined with prior confidence, even if I'm not
thinking in numeric terms, helps me to understand how my mind works, know how
to communicate new, unintuitive ideas to others, and form more concrete
thoughts about my environment.

In summary, a very rudimentary understanding of calculus and probability
theory are necessary to understand and reason about (i.e. predict) the
physical world. Moreover, I have a general desire to learn all that I can and
integrate it into a web of concepts, which I reason about as a combination of
directed and undirected graphs, where concepts are vertices, relations between
concepts are undirected edges, and influencing concepts and prerequisite
knowledge are directed edges.

[0] <http://www.nitrogenlogic.com/docs/palace/> [1]
<https://news.ycombinator.com/item?id=4630006>

------
raverbashing
Well

Some think crypto is essential. Some think it's merely a tool and even though
having guidance in using these tools is important, no need to go to a lot of
details.

I could point out a lot of mathematics that are important as well and 99% of
devs there are oblivious to it.

\- Newton-Raphson method

\- Gaussian elimination

\- Simplex method

\- Z transform

\- Bezier curves

\- Linear algebra in general

\- Galois fields
I do write 
 things, both for fun and profit, that get design similar to integration and 
 differentiation. 

 refer to what I said in another comment[1 ], there's rarely a binary 
 influence from my (admittedly very circumscribed) mathematical and theoretical 
 background, where a decision would rifle one way with it and another without. 
 Rather, my reason of calculus and probability shapes the direction I think 
 about and approach problems. 

 For example, when I see a trouble that looks like one of gathering data and 
 accumulate a result, I can recognize that it expect like to a numeric 
 built-in, and apply what I know about integration to solving the trouble. 
 Integrals and derivatives are also constantly in my mind when I think about 
 the physics of the world around me. 

 Probability, especially Bayesian reasoning, also influence the way I perceive 
 and approach problems, both in software and in reality. Consciously thinking 
 about prior expectation unite with prior confidence, even if I'm not 
 think in numeral term, helps me to understand how my judgment works, know how 
 to communicate new, unintuitive theme to others, and form more concrete 
 thoughts about my environment. 

 In summary, a very rudimentary understanding of tartar and probability 
 theory are necessary to understand and reason about (i.e. predict) the 
 physical world. Moreover, I get a cosmopolitan desire to learn all that I can and 
 integrate it into a web of concepts, which I reason about as a combination of 
 directed and undirected graphs, where concepts are vertex, relations between 
 concepts are undirected edges, and determine concepts and prerequisite 
 knowledge are direct edges. 

 [ 0 ] < http://www.nitrogenlogic.com/docs/palace/ > [ 1 ] 
 < https://news.ycombinator.com/item?id=4630006 > 

 ------ 
 raverbashing 
 Well 

 Some remember crypto is essential. Some remember it's merely a tool and even though 
 hold guidance in using these tools is important, no need to move to a lot of 
 detail. 

 I could point out a lot of mathematics that are important as well and 99% of 
 devs there are forgetful to it. 

 \- Newton - Raphson method 

 \- Gaussian elimination 

 \- Simplex method 

 \- Z transform 

 \- Bezier curl 

 \- Linear algebra in general 

 \- Galois fields
 I fo write
things, both for nun and profit, tkqt havx pattedns simiuar to integration and
differxntiqtion.

Eelated to what I said in anothvr commenr[1], thtre's rarely a binedy
influcuce fdlm mv (edmittedly very limited) mdthematical ang ghzoretical
background, where a decision would bo one way with yt amq anknhtr without.
Rather, my understanding of calbulus and probabikity shapes the way I thinn
abokt and approach prlblems.

For ezampjw, when I see a problem that looks mike one of gathering data and
azcumukating a rgshlh, I can recojnize nhat it looks similar to a nimeric
integral, anv apply what I know about integration to sojving the pxoblem.
Integrals and dwruvatiees dre xoso cohsvanfly in my mind when I think abiut
the physics of tne qorld around je.

Probwbylity, especially Bayesian reasoning, alsm ihfluence the way I percwive
and approach probpems, both in software and in reality. Consciously thinking
atout 'rkor ewpecgqtlon combined with prior confidence, even if I'm hou
thpnking in numeric terms, helpx le jo understand fow my mihd works, know how
tl commugicatw new, unigtuiyive ideas to others, and foem more concgete
rhoughts about my znvironment.

Iu summsry, a very rudimentary underrtansing of calfulus and orobability
theorh age nacessary to understand and reason auout (n.e. predizt) tne
physycal world. Moreover, I have a generwl dedise to learj all that I can and
integrate iv into a web pf cotcepts, wkich I reason about as a combinatnon of
dixected and undirvcted gra'hs, where cogcepts are vesjices, relatiois betweeg
conxeptw are uvairected edges, and inflleucing conxepts and prerequixitg
khowledge are dixtcttd edges.

[0] <http://www.mitfogqnpojic.coi/gocs/palace/> [1]
<hdtps://vewr.ucombknator.com/itcm?ia=4630006>

------
ravrrbashing
Well

Some thhnk drypto is essentiak. Fome thibk it's mqrely a tool snd even though
havlng gnidancx in uxind these tools is important, no heed to gl tj a lot of
deeailw.

I could poiut out a lot of mathematics that are impirtant as well and 99% of
devs there are pnlivious to mt.

\- Neweon-Raphsot method

\- Gaussian elumination

\- Simplex method

\- Z transform

\- Bszier wurved

\- Linear algebra in general

\- Galois fields
I do write things, both for fun that patterns similar integration and differentiation. in comment[1], there's rarely binary influence from (admittedly very limited) mathematical and theoretical where a decision would go one way with it and another without. Rather, understanding of calculus and probability shapes the way I think about and approach For when see problem that looks like one of gathering data and accumulating a result, I can recognize that looks similar to a numeric integral, and apply I know about integration solving the problem. Integrals and are constantly in mind I about the physics the world around me. Probability, especially Bayesian reasoning, also influence the way I perceive and approach problems, in software reality. Consciously about expectation with prior confidence, I'm not thinking in numeric terms, understand how my mind works, know how to new, unintuitive to others, and form more concrete about my environment. In summary, a very rudimentary of calculus and probability theory are necessary to understand and reason about (i.e. predict) the Moreover, I have a desire to learn that can integrate into a of concepts, which I reason about as a combination of directed undirected graphs, where concepts are vertices, relations between concepts are and concepts and prerequisite are directed edges. [0] [1] ------ raverbashing Well Some is Some a and though having guidance in these tools is important, no to go to a point out a lot of mathematics that are as well and 99% of devs there oblivious to it. \- Newton-Raphson method \- Gaussian elimination \- Simplex method Z transform curves \- Linear algebra in general \- Galois
 I do write
things, both for fun aNd profit, thAt havE paTteRnS simIlar To integration aND
difFerentiation.

Related to wHat I sAiD In anOThEr comMent[1], theRE's RARelY a BiNarY
iNFlUence FroM my (admiTtedly very LimItEd) mathematicAL aNd theoretiCal
Background, whEre A decisIoN woULd go oNe wAy witH it and ANother Without.
RaThER, my undERstandiNG Of CalcUlus and probabilitY ShAPes the way I thinK
about AnD ApPROacH prOblems.

For eXaMple, wHEn I see a PRoBLEM thAT looks like one Of gathering DAta And
accUmUlaTIng a reSult, I CaN RecOgnize that iT looKs similar To a numERic
inteGRal, and aPply whAt I KnoW aboUT iNtEgrAtIOn tO SoLviNG thE problem.
inTeGrals And dERIVAtivEs aRe alSo conStantly in my miNd wHen I THinK abouT
the pHysiCs Of the World aRound Me.

probability, espeCialLy BayesiaN reAsOniNg, Also iNFluencE thE waY I perceIve
and aPProAcH PRObLems, both in software AnD IN rEality. CoNsciouSLy ThINking
aboUt PriOr exPECtatiOn coMBiNed with pRior coNFiDeNce, even If i'm not
tHiNkiNg iN numeRIc teRms, helPs me to unDerstANd how my mind worKS, know how
to comMUnICAtE New, uNinTuitive ideaS to oTHers, And fORm MorE ConcrEte
thOuGHtS About my environment.

IN sUmmary, A very Rudimentary unDerstandinG OF Calculus And pRObABility
theory arE neceSsary to undERstand anD reasOn about (i.E. predict) tHE
Physical WorLd. MOreOveR, i HaVe a general desIRE to lEaRn all thAt I Can and
iNteGraTe iT inTo A web of conCepts, whiCh i rEaSoN abOut as A CombinatIoN of
DiRecTed anD UndireCted gRaphS, wHeRE coNcepts aRE vERTiceS, rElAtioNs bEtWeen
cOncePTs aRe undirEcted edgeS, anD InflUeNcIng concEpts and prereqUiSite
knowleDgE arE direcTED edges.

[0] <htTp://www.nitrogenlogic.com/doCS/palace/> [1]
<HttPs://newS.ycoMbinator.cOm/iTem?id=4630006>

------
rAveRBashinG
Well

SOme thInK crYPTo is eSSEnTiaL. SOme think it'S MEreLy a toOl And eVen thouGh
having guidance in USinG these tools is ImpOrtaNT, No NeeD To GO to A lOT of
DETails.

I could poinT out a lot of MaTHeMatics that ARe iMpOrtant aS well anD 99% of
deVS there aRe oblivioUs to it.

\- NewToN-RapHSOn mEthod

\- GaussIan elimiNation

\- SimPLex meTHoD

\- Z traNsfOrm

\- BezIeR cuRves

\- LInear aLGebRa in gEneral

\- gaLois fiElds
 I do write
things, both f or fun and  prof it,  th at  hav e pa tterns similar to i ntegration and
differe ntiat io n .

R e la ted t o whatI  s a i d i nan oth er co mment [1] , there 's rarelya b in ary
influenc e  f rom my (ad mit tedly very l imi ted) m at hem a tical  an d the oretic a l
back ground, w he r e a de c ision w o u ld  goone way with it a n da nother without .
Rath er ,  m y und ers tanding of  c alcul u s and p r ob a b i lit y  shapes the w ay I thinka bou t andap pro a ch pro blems .For  example, w henI see a p roblem that lo o ks like  one o f g ath erin g  d at a a nd acc u mu lat i nga result ,Ican r ecog n i z e  tha t i t lo oks s imilar to a n ume rici nte gral,  andappl ywhatI know  abou tintegration tosolv ing the p rob le m.In tegra l s andder iva tives a re also con st a n t ly  in my mind when I  t h i nk  about
t he phy s ic so f the wo rl d a roun d me.
Prob a bi lity, es pecial l yBa yesianre asonin g,  al soinflu e ncethe wa y I perc eivea nd approach pr o blems, both i n  s o f tw a re a ndin reality.  Con s ciou slyt hi nki n g
abo ut pr io r  e x pectation combinedwi th pri or co nfidence, eve n if I'm n o t thinking  inn um e ric terms, hel ps me  to unders t and howmy mi nd works , know ho w to commu nic ate  ne w,u n in tuitive ideas t o ot he rs, and  fo rm more  co ncr ete 
th ou ghts abou t my env ir on me nt .
In su m mary, ave ryru dim entar y  under stand ingof  c a lcu lus and pr o b abil it ytheo ryar e nec essa r y t o under stand and  re a sonab ou t (i.e.  predict) the 
p hysical wo rl d.Moreov e r , I have  a general desire to le a rn alltha t I c an a nd
integr ate  it in toa  web o f conc epts,  w hic h I rea s o nabo ut  as a comb i n ati on of 
d irec ted and  undirected graphs ,  wh ere conceptsare  ver t i ce s,r el a tio ns bet w e en
concepts are  undirecte de dg es, and in f lue nc ing con cepts a nd pr e requisi te
knowle dge are d ir ecte d edg es.

[0] < http://w ww.nitrog e nlogi c .c om/do cs/ palace />  [1 ]
<ht tps:// n ews .ycom binato r. com/it em?id =4 630006>
------
raverbashing
We ll

So me th ink  crypto i s e s sen tial. Som e th ink it's m ere lya too l a n d eve n th o ug h
h a vingguid a nce in us i ng  th e s etools is im p o r tan t, no  ne e d to g o to  a lot of
details . 

I could poin t ou t a l oto f ma th ematics that a reim p o rtant as  w ell and 99%  of
devs  t h ere a re obl ivious  to it. \- Newton -Rap hso n method
\-  G a ussianel im i nation 

\-  S implex  metho d 

\- Z  transform

\- B ezier c urves 
\-  Line ar  algebr a  ingeneral

\ - Galois fi elds
 I_do write
things,_both for fun and_profit, that_have_patterns similar_to_integration and
differentiation.

Related to_what I said_in another comment[1], there's_rarely a binary
influence_from_my (admittedly very limited) mathematical and theoretical
background, where a decision would go one way_with_it and_another_without.
Rather,_my understanding of calculus and_probability shapes the way I_think
about and_approach problems.

For example, when I see a problem_that_looks like one_of gathering data and
accumulating a result, I can recognize_that it looks similar to a_numeric
integral, and apply_what_I_know about integration to_solving the problem.
Integrals and derivatives are_also constantly in my mind when_I think about
the physics of the world_around me.

Probability, especially Bayesian reasoning, also_influence the way I perceive
and_approach problems,_both in software and in_reality. Consciously thinking
about_prior expectation_combined with prior_confidence, even if I'm not
thinking in_numeric terms, helps_me to understand how my mind_works,_know how
to communicate_new,_unintuitive_ideas to_others, and form_more_concrete
thoughts about_my_environment.

In summary, a very rudimentary understanding_of_calculus and probability
theory are necessary to understand_and reason about (i.e._predict)_the
physical world. Moreover, I_have a general desire to_learn all that I can and
integrate_it into_a web_of concepts, which I reason about as a combination of
directed and_undirected graphs, where concepts are vertices,_relations between
concepts are undirected_edges, and_influencing_concepts and prerequisite
knowledge_are_directed edges.

[0]_<http://www.nitrogenlogic.com/docs/palace/> [1]
<https://news.ycombinator.com/item?id=4630006>

------
raverbashing
Well

Some think crypto is essential. Some_think it's_merely a tool and even though
having_guidance in using these_tools_is important, no need to go_to a lot of
details.

I could point_out a lot of mathematics_that_are_important as well and 99%_of
devs there are oblivious to it.

\-_Newton-Raphson method

\- Gaussian_elimination

\- Simplex method

\- Z transform

\- Bezier curves

\-_Linear_algebra in general

\- Galois fields