HiUntil very recently, I have what can be called a marginal

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In summary, the conversation discusses the speaker's interest in computers and math, and their search for reading material related to the topics. They also discuss the relationship between programming and math, and how modern software systems are made up of multiple autonomous programs. The conversation also touches on the use of '=' in programming and the concept of concurrent programming.
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thespiritroom
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Hi..

Until very recently, I have what can be called a marginal interest in computers and even more so in math (mostly because any math I can do is limited to AS Level and despite being able to deal with abstractions in other disciplines, I seem not to have caught on the math front..I was also aversed to the notations < very stupid in retrospect)

I stumbled across a blogpost below incidentally and was wondering if anybody can suggest reading material that I can work through related to topics the post below encapsulates? Or at least a starting point? With language I can reasonably understand or maybe written in a way that uses a lot examples to illustrate a point?

AS Level Math = http://tinyurl.com/6jj97c (i remember struggling the most with mechanics and the decision maths. less so on pure maths.. but this was a good 2-3 years ago)

(disclaimer:) I find that I mostly gain momentum/interest through stumbling across connections made across subject areas.. maybe my brain works kind of weird this way but there have been plenty more instances in the past where I go from 0 interest to desire to understand the relations/overlaps between X & Y & etc


"Well, I was thinking of something quite a bit more different than a tricked out C processor. I know that great work was done to create the OS(s), etc. And that some tangible, lasting innovation happened in that group. However, my point is that C and friends are designed specifically to control a monolithic, serial instruction pipeline. All else is second-order fluff.

Math (not Lisp) has less relation to time. We force computation into the time dimension, which is very much against the Truth represented in our statements. The number of cycles it takes to get an answer should not be a function of the algorithm. Your brain does massive “computation” in a single cycle. That’s what I’m getting at.

We can define a bitmap representation of a cube mathematically, taking positional inputs and maybe some lighting specs. Once the inputs are specified, the answer is simultaneously defined. Reality is defined in less than one cycle. Until our hardware can be configured to do our mathematical dirty work in a single cycle, we are stuck with telling idiotic circuitry to do simplistic things.

Of course, processing lists is another matter. Counting cycles may be as difficult as count list items. Maybe processor power will be measured in terms of both algorithmic complexity and list length (handled in a single time slice, of course).

The original premise, that Math is the one true programming language, will only bear fruit when our hardware can handle the truth.

BTW, even my 8-yr-old daughter scratches her head when I write x=x+1. I resolve to belittle any language that supports such blasphemy."


Thanks very much in advance
 
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thespiritroom said:
BTW, even my 8-yr-old daughter scratches her head when I write x=x+1. I resolve to belittle any language that supports such blasphemy."

Can't disagree with you there, but that ship has sailed. In many computer languages, '=' is the assignment operator and '==' stands for equality. Been this way for a really long time. C dates from the early 1970's. Just the way it is.

But also note that equality in a programming language is not the same as equality in math. In math we say two things are equal as a statement. In programming, setting two things equal tests for equality and results in a value of true or false. So you really can't mix apples and oranges here. I do agree with you that using '=' as the assignment operator was an unfortunate choice. But I've long since gotten used to it.

I don't think it makes sense to ask our hardware to "handle the truth." My car doesn't know where I want to go. It's a machine. I'm the human. Computers are just machines. They do what they're programmed to do.

It sounds like you might be interested in checking out the subject of concurrent programming.

http://en.wikipedia.org/wiki/Concurrent_computing

In some ways the Internet is already working this way. Your browser talks to the Physics Forum's web server. The web server talks to the database. The database comes up with some data, the middleware formats it, the web server returns it to your browser, and your browser renders it.

It's true that programing languages control a single execution pipeline. But our modern software systems are made up of cooperating autonomous programs. Collectively they implement social networking sites, music sites, operating systems, and all the other aspects of the modern software ecosystem. The collective effect is much more than just programming a serial pipeline, even if each individual program is written that way.
 
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What is a marginal?

A marginal is a term used in economics to describe something that is on the edge or at the limit of something else. It can also refer to something that is considered to be of lesser importance or significance.

What is the importance of understanding marginals?

Understanding marginals is important in economics because it allows us to analyze the relationship between two variables and how changes in one may affect the other. It also helps us make predictions and decisions based on these relationships.

Can a marginal ever become significant?

Yes, a marginal can become significant. This can happen when there is a change in the conditions or factors that were previously limiting it, causing it to shift from being on the edge to being a more important factor.

How can we calculate marginals?

Marginals can be calculated using calculus, specifically by taking the derivative of a function. This will give us the marginal change or slope of the function at a specific point.

Can marginals be negative?

Yes, marginals can be negative. This means that as one variable increases, the other variable decreases. It is important to consider both positive and negative marginals when analyzing relationships between variables.

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