COMPUTING & SOFTWARE SYSTEMS - UW Homepage

How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results. Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems, setting the foundation for further experiments in generative design. Subjects covered include forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms. The book’s examples are written in Processing, an open-source language and development environment built on top of the Java programming language. On the book’s website , the examples run in the browser via Processing’s JavaScript mode.

How can we capture the unpredictable evolutionary and emergent properties of nature in software

The key difference between Logo and our proposal lies in our visionthat millions of (amateur) programmers will be developing open sourcesoftware together-Logo appears content with teaching limitedprogramming skills to younger children, for whom computer programmingis mostly a way to train their mind in abstract thinking.


The Linear Programming FAQ - SourceForge

This essay touches both on the topic of programming languages and on the nature of ..

Dear Mr. Wolfram,Good day. I dont have Wolfram, but I have read it thru and thru; I wish you had something like a Yahoo Directory for choosing the succeeding sentences — it would reduce the guesswork and the learning curve quite quickly. You could have a code guesser (something like the Google word senser) —- typing in natural language is quite taxing due to ambiguosness —- a word senser and an instant search to the right code ( algorithm + defined objective of code) would quickly make it much faster.I am an avid fan of your software and I wish it had a subscription only service. Especially for entrepreneurial intellectuals like me in the Philippines, who cant seem to convince their dads to invest in a Mathematica, since its not in their field of Industry.


of a programming language and its ..

A program called a is used to transform the high-level source codedirectly into machine code. This requires the compiler to hardwarememory locations to each of the abstract variables being referenced. Forexample, the first time the compiler encounters the variable in Table 4-5 (line100), it understands that the programmer is using this symbol to mean a singleprecision floating point variable. Correspondingly, the compiler designates fourbytes of memory that will be used for nothing but to hold the value of thisvariable. Each subsequent time that an appears in the program, the computerknows to update the value of the four bytes as needed. The compiler also breakscomplicated mathematical expressions, such as: , into morebasic arithmetic. Microprocessors only know how to add, subtract, multiply anddivide. Anything more complicated must be done as a series of theseelementary operations.

that you need to learn various programming languages ..

Comparing the execution speed of hardware or software is a thankless task; nomatter what the result, the loser will cry that the match was unfair! Programmerswho like high-level languages (such as traditional computer scientists), willargue that assembly is only 50% faster than compiled code, but five times moretrouble. Those who like assembly (typically, scientists and hardware engineers)will claim the reverse: assembly is five times faster, but only 50% more difficultto use. As in most controversies, both sides can provide selective data tosupport their claims.

This is due to the querying nature of the software.

Most professional programmers are rather offended at the idea of usingassembly, and gag if you suggest BASIC. Their rational is quite simple:assembly and BASIC discourage the use of good software practices. Good codeshould be (able to move from one type of computer to another), (broken into a well defined subroutine structure), and (lots of comments and descriptive variable names). The weakstructure of assembly and BASIC makes it difficult to achieve these standards. This is compounded by the fact that the people who are attracted to assemblyand BASIC often have little formal training in proper software structure anddocumentation.