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L-system

L-system trees form realistic models of natural patterns Origins[edit] 'Weeds', generated using an L-system in 3D. As a biologist, Lindenmayer worked with yeast and filamentous fungi and studied the growth patterns of various types of algae, such as the blue/green bacteria Anabaena catenula. Originally the L-systems were devised to provide a formal description of the development of such simple multicellular organisms, and to illustrate the neighbourhood relationships between plant cells. L-system structure[edit] The recursive nature of the L-system rules leads to self-similarity and thereby, fractal-like forms are easy to describe with an L-system. L-system grammars are very similar to the semi-Thue grammar (see Chomsky hierarchy). G = (V, ω, P), where The rules of the L-system grammar are applied iteratively starting from the initial state. An L-system is context-free if each production rule refers only to an individual symbol and not to its neighbours. Examples of L-systems[edit] start : A Related:  Notions

Patterns in nature Natural patterns form as wind blows sand in the dunes of the Namib Desert. The crescent shaped dunes and the ripples on their surfaces repeat wherever there are suitable conditions. Patterns in nature are visible regularities of form found in the natural world. These patterns recur in different contexts and can sometimes be modelled mathematically. Natural patterns include symmetries, trees, spirals, meanders, waves, foams, arrays, cracks and stripes.[1] Early Greek philosophers studied pattern, with Plato, Pythagoras and Empedocles attempting to explain order in nature. The modern understanding of visible patterns developed gradually over time. In the 19th century, Belgian physicist Joseph Plateau examined soap films, leading him to formulate the concept of a minimal surface. Mathematics, physics and chemistry can explain patterns in nature at different levels. History[edit] The American photographer Wilson Bentley (1865–1931) took the first micrograph of a snowflake in 1885.[10]

Trace theory From Wikipedia, the free encyclopedia Theory of trace monoids In mathematics and computer science, trace theory aims to provide a concrete mathematical underpinning for the study of concurrent computation and process calculi. The underpinning is provided by an algebraic definition of the free partially commutative monoid or trace monoid, or equivalently, the history monoid, which provides a concrete algebraic foundation, analogous to the way that the free monoid provides the underpinning for formal languages. The power of trace theory stems from the fact that the algebra of dependency graphs (such as Petri nets) is isomorphic to that of trace monoids, and thus, one can apply both algebraic formal language tools, as well as tools from graph theory.

Constructal Theory and the Asynsis Principle | ASYNSIS It’s with a sense of relief and vindication that work that I’ve previously termed Dynamical Symmetries or more recently, Asynsis (asymptotic synthesis), regarding optimal information, mass and energy flows in nature has also occurred in parallel, over a similar timeframe of 20-odd years. It’s called Constructal Law or Theory, if you prefer. The author of this research (which comes to similar conclusions), is the renowned Professor Adrian Bejan of the Pratt School of Mechanical Engineering at Duke University, NC, USA. He describes himself as an engineer and thermodynamicist as elaborated on here: The substantial and diverse academic work in the constructal field is to be found here: I also feel that our work is highly complementary in that he approached it as an engineer while I did as an architect. “Both positive and negative feedback loops effect a system.

Lehrstuhl Grafische Systeme - Projekte - Virtuelle Pflanzen Relationale Wachstumsgrammatiken als Basis für ein mehrskaliges metabolisches Strukturmodell der Gerste: Neue Techniken der Informatik für Functional-Structural Plant Models (FSPM) Im Rahmen des Vorläuferprojekts wurde die formale Modellspezifikations-Sprache der Relationalen Wachstumsgrammatiken (Relational Growth Grammars, RGG) entwickelt, mit der interaktiven Software GroIMP (Growth Grammar Related Interactive Modelling Platform) operabel gemacht und an ersten Beispielen demonstriert. Da Formalismus und Software zunächst schrittweise ausgebaut und getestet werden mussten, waren diese Beispiele bisher auf sehr ausschnitthafte Modelle beschränkt. Kooperationspartner: Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) Gatersleben, Dr. Abschlussbericht andere Projekte am Lehrstuhl zurück zur Homepage des Lehrstuhls

Essential Math for Games Programmers As the quality of games has improved, more attention has been given to all aspects of a game to increase the feeling of reality during gameplay and distinguish it from its competitors. Mathematics provides much of the groundwork for this improvement in realism. And a large part of this improvement is due to the addition of physical simulation. Creating such a simulation may appear to be a daunting task, but given the right background it is not too difficult, and can add a great deal of realism to animation systems, and interactions between avatars and the world. This tutorial deepens the approach of the previous years' Essential Math for Games Programmers, by spending one day on general math topics, and one day focusing in on the topic of physical simulation. It, like the previous tutorials, provides a toolbox of techniques for programmers, with references and links for those looking for more information. Topics for the various incarnations of this tutorial can be found below. Slides

Rewriting Replacing subterm in a formula with another term In mathematics, computer science, and logic, rewriting covers a wide range of methods of replacing subterms of a formula with other terms. Such methods may be achieved by rewriting systems (also known as rewrite systems, rewrite engines,[1][2] or reduction systems). In their most basic form, they consist of a set of objects, plus relations on how to transform those objects. Rewriting can be non-deterministic. One rule to rewrite a term could be applied in many different ways to that term, or more than one rule could be applicable. Example cases[edit] Logic[edit] In logic, the procedure for obtaining the conjunctive normal form (CNF) of a formula can be implemented as a rewriting system.[6] The rules of an example of such a system would be: (double negation elimination) (De Morgan's laws) (distributivity) [note 1] where the symbol ( Arithmetic[edit] For example, the computation of 2+2 to result in 4 can be duplicated by term rewriting as follows: .

Emergence In philosophy, systems theory, science, and art, emergence is a process whereby larger entities, patterns, and regularities arise through interactions among smaller or simpler entities that themselves do not exhibit such properties. Emergence is central in theories of integrative levels and of complex systems. For instance, the phenomenon life as studied in biology is commonly perceived as an emergent property of interacting molecules as studied in chemistry, whose phenomena reflect interactions among elementary particles, modeled in particle physics, that at such higher mass—via substantial conglomeration—exhibit motion as modeled in gravitational physics. In philosophy, emergence typically refers to emergentism. In philosophy[edit] Main article: Emergentism In philosophy, emergence is often understood to be a claim about the etiology of a system's properties. Definitions[edit] This idea of emergence has been around since at least the time of Aristotle. Strong and weak emergence[edit]

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