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ol ol ol ol ol ol {list-style-type:lower-roman;}
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/***
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This StyleSheet can be used directly by languages such as Chinese, Japanese and Korean which need larger font sizes.
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}
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<div class='header' macro='gradient vert [[ColorPalette::PrimaryLight]] [[ColorPalette::PrimaryMid]]'>
<div class='headerShadow'>
<span class='siteTitle' refresh='content' tiddler='SiteTitle'></span>&nbsp;
<span class='siteSubtitle' refresh='content' tiddler='SiteSubtitle'></span>
</div>
<div class='headerForeground'>
<span class='siteTitle' refresh='content' tiddler='SiteTitle'></span>&nbsp;
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<div id='mainMenu' refresh='content' tiddler='MainMenu'></div>
<div id='sidebar'>
<div id='sidebarOptions' refresh='content' tiddler='SideBarOptions'></div>
<div id='sidebarTabs' refresh='content' force='true' tiddler='SideBarTabs'></div>
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<div id='messageArea'></div>
<div id='tiddlerDisplay'></div>
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<div class='toolbar' macro='toolbar [[ToolbarCommands::ViewToolbar]]'></div>
<div class='title' macro='view title'></div>
<div class='subtitle'><span macro='view modifier link'></span>, <span macro='view modified date'></span> (<span macro='message views.wikified.createdPrompt'></span> <span macro='view created date'></span>)</div>
<div class='tagging' macro='tagging'></div>
<div class='tagged' macro='tags'></div>
<div class='viewer' macro='view text wikified'></div>
<div class='tagClear'></div>
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<div class='toolbar' macro='toolbar [[ToolbarCommands::EditToolbar]]'></div>
<div class='title' macro='view title'></div>
<div class='editor' macro='edit title'></div>
<div macro='annotations'></div>
<div class='editor' macro='edit text'></div>
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To get started with this blank [[TiddlyWiki]], you'll need to modify the following tiddlers:
* [[SiteTitle]] & [[SiteSubtitle]]: The title and subtitle of the site, as shown above (after saving, they will also appear in the browser title bar)
* [[MainMenu]]: The menu (usually on the left)
* [[DefaultTiddlers]]: Contains the names of the tiddlers that you want to appear when the TiddlyWiki is opened
You'll also need to enter your username for signing your edits: <<option txtUserName>>
These [[InterfaceOptions]] for customising [[TiddlyWiki]] are saved in your browser

Your username for signing your edits. Write it as a [[WikiWord]] (eg [[JoeBloggs]])

<<option txtUserName>>
<<option chkSaveBackups>> [[SaveBackups]]
<<option chkAutoSave>> [[AutoSave]]
<<option chkRegExpSearch>> [[RegExpSearch]]
<<option chkCaseSensitiveSearch>> [[CaseSensitiveSearch]]
<<option chkAnimate>> [[EnableAnimations]]

----
Also see [[AdvancedOptions]]
<<importTiddlers>>
Bienvenue sur mon Wiki à propos de mes activités de [[Recherche]] et d'[[Enseignement]]
Binary search trees are datastructures and algorithmes generally used to implement set-like structures for efficient search (or sort).

A very nice applet explain the behavior of the main algorithms:
http://people.ksp.sk/~kuko/bak/index.html

A very good (C programming-oriented) tutorial :
http://eternallyconfuzzled.com/jsw_home.aspx

I have the following problem : I need a datastructure to store a set of element that can
be indexed by an integer (e.g. 32bit java integers). In general there will be at most one
hundred elements in the set... I need an efficient implementation of membership but
the structure will also evolve over time (add/remove).
One particular aspect is that most element will in general be close in terms of indexing
(e.g. index 0, 1 and 3, etc.) even if over time this may somewhat changes.
This datastructure plays a critical part (in terms of performance) in a virtual machine for a compiler I am working on.
 
For the moment I decided to start with AA trees but I could use red-black trees also. 
I will also experiment an approach similar to radix sort but for indexing/searching only.
Since the index are close to each other I will probably discriminate the least significant
bits first...  But don't hesitate to contact me if you have another idea...
10 February 2010 : about BinarySearchTree algorithms
[[Welcome]]
[[Bienvenue]]
My name if Frédéric Peschanski.  I am an assistant professor at the UPMC University in Paris.
I am a researcher in the computer science laboratory ([[LIP6]])
To get started with this blank TiddlyWiki, you'll need to modify the following tiddlers:
* SiteTitle & SiteSubtitle: The title and subtitle of the site, as shown above (after saving, they will also appear in the browser title bar)
* MainMenu: The menu (usually on the left)
* DefaultTiddlers: Contains the names of the tiddlers that you want to appear when the TiddlyWiki is opened
You'll also need to enter your username for signing your edits: <<option txtUserName>>
I give here a list of programming languages.
Each entry is as follows:
* Name
* Contexts of use
* Specificities
* Things I like
* Things I hate

The following list has no specific order.

* Name: Java
* Contexts of use
** Teaching
** Research work
* Specificities
** Popular
** Object-oriented
** Byte-compiled
** C-like syntax
** Reference-based
** Garbage collected
** JIT
* Things I like
** more than the language itself its surrounding development environment (jdk, eclipse, etc.)
** the interface construct
** the multithreading layer
** the generics (even if they could be simpler)
* Things I hate
** really too verbose, too many keywords
** the implicit traits
** compile-time overloading
** memory consumption
** the feeling that all applications written in java are prototypes (slow, anesthetics)
** the complexity of some libraries: e.g. swing
[[Welcome]]
[[Bienvenue]]
There are many variations in the understand of the concept of ''mobility'' in computer science.
Indeed, this depends on what is moving, and in which space it is moving

There are classical ones:
* [[Mobile users]] : the users move in the physical real-world space
* [[Mobile devices]] : the devices move in the physical network space
* [[Mobile agents]] : the agents (software) move in the physical computational space

There are also more original movements:
* [[Mobile pointers]] : the pointers move in the physical memory space
* etc.  (?)

In these examples, the ''things'' are moving in some ''physical'' space.
A common approach to these various examples can be found if we adopt
 a more logical notion in which things move.
Each user, device, agent, pointer, etc can be seen as a ''process'' related to
its environment using ''links''. The movement of a process makes its environment
 change, which can be seen as a perturbation of its links.

The mobility of links in the virtual space of processes is the object of study of
the [[Pi Calculus]] theory.
The Pi Calculus is a [[Process Algebra]] that is used to model and reason about concurrent systems.
The main feature of the calculus is the possibility to communicate links (or channels) and not just data
among processes. This models a virtual form of [[Mobility]].

The Pi Calculus is a model of computation, and as such a parallel can be made with the [[Lambda calculus]]
There is a minimal syntax (though the Pi Calculus has more constructors) and an underlying [[Operational Semantics]].
In the lambda-calculus there is a unique reduction rule (beta-reduction) while in the Pi Calculus there are more rules.
In some sense, the Pi-Calculus is of a lower level of abstraction. For example, it is possible to model the lambda-calculus
as well as its various reduction strategies in the common framework of the Pi-Calculus.

A very important difference is that while the lambda-calculus gives a computational interpretation of the mathematical
notion of function, the Pi calculus models a notion of mobility that has probably not much to do with mathematics.
This explains maybe why there are so few works about the denotational semantics for the Pi-calculus (but there are some,
cf. below)

The issues I have investigated are both theoretical and practical:
* is it possible to solve the [[Compositionality]] issue of the Pi-Calculus ? see the [[Pi-Graphs]]
* can we provide a sound [[Denotation of the Pi-calculus]] ?  see [[A denotational semantics of the Pi-calculus]]
* how to reason about [[Distributed Asynchronous Systems]] ? see [[The Interaction Spaces]]
* can we use the Pi-calculus as the computational model of a ProgrammingLanguage ? see [[Implementations of the Pi-calculus]]
I find the study of programming languages particularly interesting because it involves many different topics of ComputerScience. For example you need to deal with AutomataTheory because this is the abstract model of computation. You also need to study some aspects of linguistics most notably RegularLanguages, ContextFreeGrammars, etc. Type systems and related features (type checking, type inference) are related to MathematicalLogic. The SoftwareEngineering aspects, sometimes more social than technical, must also be taken into account. Ultimately a good language must be supported by efficient implementations. This is where the CompilationIssues arise.

I mostly teach programming languages. For first year students I teach one of my favorite language : the SchemeProgrammingLanguage. Our course involve about 700 students each year and many of them enjoy the concision and simplicity of the language to discover many of the important issues of ComputerScience. Starting from this year, I am preparing an extension of this course towards interpretation, compilation and VirtualMachines using Scheme and C. It is always impressive to see that scheme can be fully described based on 5 minimal constructs. For third year students (about 200 of them each year) I am responsible of the ObjectOrientedProgramming course using the JavaProgrammingLanguage. Although I am not a big fan of the language, I must confess this course forced me to learn it seriously and use it in my own research projects. For the 1st year master students I teach the DesignByContrat approach to programming. This is interesting because it links my research work (mostly based on FormalMethods) and my teaching activities. Finally, I have a course about ConcurrencyTheory for the second year master research students.

I like to discover various programming languages and use them in small projects so that I can get a feel of the language and its construct. I maintain a ListOfProgrammingLanguages with the ones I used, the ones I still use and the ones I would like to use.
Many of my research works revolve around the notion of [[Mobility]].
In general I am interested in [[Programming Languages]], especially abstraction of programming languages such
as [[Process Algebra]]s. In the family of process algebras, I mostly investigated the [[Pi Calculus]] from both a
theoretical and a practical point of view.

I am also interested in the integration of [[Formal Methods]], as well as the practice and teaching of [[Lightweight formal methods]].

Very recently, I discovered [[Graph Rewriting]] (or graph transformation) and got quite interested in this research topic.

Some details of my research works about [[Mobility]] are given in the invited talk [[Wanderings (and wonderings) about Mobility]]
Research and Teaching
Fred Peschanski's Wiki
Concerning teaching, my main area of expertise is the topic of ProgrammingLanguages as well as FormalMethods.
I have an associate professor teaching position at the University Pierre et Marie Curie (UPMC).

Since 2006 I am supervising the ObjectOriented ProgrammingLanguage course (using the JavaLanguage) for third year undergraduate students in computer science (Licence 3 in Europe). The course has about 200 students each years. During the course I go a little bit deeper in the basic OO concepts : classes, inheritance, etc. The second part is about advanced concepts: design by contract and unit-testing, generic programming and design patterns.

I also teach the SchemeLanguage to first years students. Together with a team of teachers we teach scheme to more than 600 hundred students. We managed to resist to the "Java-isation" of the curriculum and I personally think it is a good thing : Scheme is far better to teach fundamental issues such as basic datastructures (lists/trees) and the algorithmic manipulation of these structures (using recursion as the principal mean).

For (first year) master students I supervise a course about TrustableComponentSoftware where I teach both important concepts such as design by contract (and abstract datatypes and Hoare logic) as well as more practical things.

Finally, I teach a short advanced course on ConcurrencyTheory where I present CCS. Beyond the usual theory and software modeling topics, I put the highlight on the algorithms used in verfication tools: equivalence and model checking (of mu-calculus formulas).
This is the outline of my invited talk for [[Logic]], [[Agent]] and [[Mobility]] (LAM'09), a sattelite workshop of LICS'09.

!Abstract

In this talk, I present my own personal itinerary in the research field of [[Mobility]] in computer science. Perhaps reflecting my personal history (moving between France, the US and Japan), this itinerary is somewhat difficult to characterize properly. First, it is evolving in a very dynamic way, sometimes very difficult to plan in advance. It is also an itinerary full of branching paths, some of them clearly leading to dead ends (locks ?)... some others leading to infinity or at least too big things (and gloom...). In fact, it is often the case that I forget (or resign not) to backtrack: state explosion problem ! There is a lot of redundancy too ... many things that were done two, three, ... , too many times ! Indeed, perhaps the best characterization of this itinerary is non-determinism, dynamism and history-dependence... something the [[Pi Calculus]] - the main invariant in my research work -could be used to reason about.

!Outline

* About [[myself|FredPeschanski]] and my ResearchWork
* About [[Mobility]] in general
* Theory and Practice of the [[Pi Calculus]] (things I did)
** In Practice: The Pi-calculus as a Virtual execution environment (VEE'06)
** In Theory: A denotational characterization
** In Theory: A variant for distributed mobile agents
** In Theory and in Practice: a visual modeling language and verification environment
* and what about [[Logics]] ? (fight!)
* and what about [[Agents]] ? (fight!)
* Things I do and things I would like to do
Welcome to my Wiki about my ResearchWork and TeachingWork

Most of the research content is written in english while most of the teaching part
is in french... but I try as much as possible to provide summaries written in english.

Some blog entries for 2010: [[Blog2010]]

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