June 1997
- UNSUBSCRIBE Dan Armstrong
- Resets, langs, and quests ashen
- [RP v. Power Gaming v. Pkilling] Jeff Kesselman
- [RP v. Power Gaming v. Pkilling] Caliban Tiresias Darklock
- RP: TIime to define Jeff Kesselman
- RP: TIime to define Caliban Tiresias Darklock
- Reasonable danger [was Alright... IF your gonan do DESIESE...] Matt Chatterley
- Reasonable danger [was Alright... IF your gonan do DESIESE...] Marian Griffith
- Administrative posting coder@ibm.net
- Administrative posting Jeff Kesselman
- Administrative posting coder@ibm.net
- PKilling (was Life) Brandon Gillespie
- A quick apology... Jeff Kesselman
- The reality of constant combat?? Jeff Kesselman
- The reality of constant combat?? Jon A. Lambert
- The reality of constant combat?? Jeff Kesselman
- The reality of constant combat?? Jon A. Lambert
- The reality of constant combat?? Jeff Kesselman
- The reality of constant combat?? Jon A. Lambert
- The reality of constant combat?? Jeff Kesselman
- The reality of constant combat?? Adam Wiggins
- The reality of constant combat?? Jeff Kesselman
- The reality of constant combat?? Jon A. Lambert
- The reality of constant combat?? Jeff Kesselman
- The reality of constant combat?? Adam Wiggins
- The reality of constant combat?? Caliban Tiresias Darklock
- The reality of constant combat?? Jeff Kesselman
- The reality of constant combat?? Adam Wiggins
- The reality of constant combat?? Jeff Kesselman
- The reality of constant combat?? clawrenc@cup.hp.com
- The reality of constant combat?? Ling
- Room-based vs. coordinate-based Alex Oren
- Room-based vs. coordinate-based Jeff Kesselman
- Room-based vs. coordinate-based Nathan Yospe
- Room-based vs. coordinate-based Alex Oren
- Room-based vs. coordinate-based Jeff Kesselman
- Room-based vs. coordinate-based Alex Oren
- Room-based vs. coordinate-based Huibai
- Room-based vs. coordinate-based Jeff Kesselman
- Room-based vs. coordinate-based Adam Wiggins
- Room-based vs. coordinate-based Chris Gray
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based Jeff Kesselman
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based Jeff Kesselman
- Room-based vs. coordinate-based Jon A. Lambert
- Room-based vs. coordinate-based Shawn Halpenny
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based Shawn Halpenny
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based Shawn Halpenny
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based Shawn Halpenny
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based Shawn Halpenny
- Room-based vs. coordinate-based Alex Oren
- Room-based vs. coordinate-based Nathan Yospe
- Room-based vs. coordinate-based Alex Oren
- Room-based vs. coordinate-based Nathan Yospe
- Room-based vs. coordinate-based Shawn Halpenny
- Room-based vs. coordinate-based Brandon J. Rickman
- Room-based vs. coordinate-based Shawn Halpenny
- Room-based vs. coordinate-based Brandon J. Rickman
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based Alex Oren
- Room-based vs. coordinate-based Shawn Halpenny
- Room-based vs. coordinate-based Brandon J. Rickman
- Room-based vs. coordinate-based coder@ibm.net
- Room-based vs. coordinate-based Brandon J. Rickman
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based Marian Griffith
- Room-based vs. coordinate-based S001GMU@nova.wright.edu
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based S001GMU@nova.wright.edu
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based Brandon J. Rickman
- Room-based vs. coordinate-based clawrenc@cup.hp.com
- Room-based vs. coordinate-based Miroslav Silovic
- Room-based vs. coordinate-based Jeff Kesselman
- Room-based vs. coordinate-based coder@ibm.net
On 12/06/97 at 07:55 PM, Jeff Kesselman <jeffk@tenetwork.com> said:
>At 09:24 AM 6/12/97 PST8PDT, you wrote:
Attributions!
>>I'm working on R-tree based rooms (but I suspect I'll have to move my
>>current R-tree implementation into the driver, since it's both complex
>>and critical).
>Interesting. Care to define an R-Tree, miro? The data structure for
>some reason is pulling up a blank for me.
I posted the following here a whiles back:
- --<cut>--
What is R-Tree
A R-Tree, proposed by Antonin Guttman[1], is an index structure for
point and spatial data at the same time. Insert, delete and search can
be intermixed without periodic reorganization. It uses a tuple to
represent a spatial data in the database. In order to retrieve the
data, each tuple has a unique identifier, tuple-identifier. At the
leaf node of a R-Tree, it has index record that can reference the
spatial data. The index record is (I, tuple-identifier). I is an
n-dimensional rectangle and it is the bounding rectangle of the
spatial data indexed. This rectangle is also known as minimal bounding
rectangle, MBR. and each entry in tuple-identifier is the upper and
lower bounds, [upper, lower], of the rectangle along the dimension.
Non-leaf nodes contain entries (I, childnode-pointer) where I is the
minimal rectangle bounding all the rectangles in the lower nodes'
entries. Childnode-pointer is the pointer to a lower node in the
R-Tree. Let M and m<=M/2 be the maximum and minimum number of entries
can be filled into one node respectively.
Properties of R-Tree
A R-Tree satisfies the following properties:
A R-Tree is a height balance tree and all leaves are on the same
level.
Root node has at least two children unless it is the leaf node.
Every non-leaf node contains between m and M entries unless it is
the root.
For each entries (I, childnode-pointer) in a non-leaf node, I is
the smallest rectangle that spatially contains all rectangles in
its child nodes.
Every leaf node contains between m and M index records unless it
is the root.
For each index record (I, tuple-identifier) in a leaf node, I is
the smallest rectangle that spatially contains the n-dimensional
data object represented by the indicated tuple.
R*-Tree
The R-tree is based on a heuristic optimization. The optimization
criterion is to minimize the area of each enclosing rectangle in the
inner nodes. R*-Tree which incorporates a combined optimization of
area, margin and overlap of each bounding rectangle in the inner nodes
was proposed in [6]. For slightly higher implementation cost, it
outperforms the existing R-Tree variants.
Minimizing the area covered by a bounding rectangle should
minimize the dead space. This will improve performance since
decisions which paths have to be traversed, can be taken on higher
level
Minimizing the overlap between bounding rectangles decreases the
number of paths to be traversed.
Minimizing the margin of a bounding rectangle will make the
rectangle more quadratic. It is because for fixed area, the object
with the smallest margin is the square. Quadratic rectangles can
be packed easily and thus building a smaller rectangle.
VP-Tree
Conventional spatial index structures divide the multi-dimensional
vector space into partitions which have approximately the same number
of data points as each other. It facilitates in finding the nearest
neighbor of a given query point because it is only necessary to touch
a small number of partitions. Most partitioning methods are based on
absolute coordinate values of the vector space. R-Tree and R*-Tree
described before use this type of partitioning method. The structures
partitioned in this way are useful for queries based on absolute
coordinates, like range queries. However, in general, it does not
maintain any distance information, such as distance between points
within a partition and the partition's boundaries. Since this
information is critical in pruning the search space for
nearest-neighbor search, index structures using partitioning methods
based on absolute coordinate are thus not so useful for
multi-dimensional nearest-neighbor search.
Nearest-neighbor search by definition is to find out one point with
minimum point-to-point distance from a given query point, so it is
natural to use partitioning method based on relative distance rather
than absolute coordinate values. Vantage-Point tree, or VP-Tree,
method was proposed by Peter N.Yianilos. It uses the partitioning
method based on relative distance and aims for handling
multi-dimensional nearest neighbor search.
As mentioned before, VP-Tree method bases the partitioning on the
relative distances among the data points, rather than their absolute
coordinate values. It also bases on a particular vantage point.
Actually, vantage point is nothing special but a point selected from a
vector space, or a set of data points. However, the choice of vantage
point plays an important role in the performance of indexing
algorithm.
--<cut>--
--
J C Lawrence Internet: claw@null.net
----------(*) Internet: coder@ibm.net
...Honourary Member of Clan McFud -- Teamer's Avenging Monolith... - Room-based vs. coordinate-based Miroslav Silovic
- Room-based vs. coordinate-based coder@ibm.net
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- Room-based vs. coordinate-based Jeff Kesselman
- Room-based vs. coordinate-based Chris Gray
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- RP/PG examples Caliban Tiresias Darklock
- RP/PG examples Jeff Kesselman
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- RP/PG examples Caliban Tiresias Darklock
- RP/PG examples Jeff Kesselman
- RP=MUSH/PG=MUD Caliban Tiresias Darklock
- RP=MUSH/PG=MUD Adam Wiggins
- RP=MUSH/PG=MUD Caliban Tiresias Darklock
- RP=MUSH/PG=MUD Nathan Yospe
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- RP=MUSH/PG=MUD Caliban Tiresias Darklock
- RP=MUSH/PG=MUD Martin Keegan
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- RP=MUSH/PG=MUD Adam Wiggins
- RP=MUSH/PG=MUD Jon A. Lambert
- RP=MUSH/PG=MUD Marian Griffith
- RP=MUSH/PG=MUD Jon A. Lambert
- RP=MUSH/PG=MUD Marian Griffith
- RP=MUSH/PG=MUD Jeff Kesselman
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- RP=MUSH/PG=MUD Caliban Tiresias Darklock
- RP=MUSH/PG=MUD Nathan Yospe
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- RP=MUSH/PG=MUD clawrenc@cup.hp.com
- RP=MUSH/PG=MUD Nathan Yospe
- RP=MUSH/PG=MUD clawrenc@cup.hp.com
- RP=MUSH/PG=MUD Martin Keegan
- RP=MUSH/PG=MUD clawrenc@cup.hp.com
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- RP=MUSH/PG=MUD Jon A. Lambert
- RP=MUSH/PG=MUD Chris Gray
- RP=MUSH/PG=MUD Caliban Tiresias Darklock
- RP=MUSH/PG=MUD Caliban Tiresias Darklock
- RP=MUSH/PG=MUD Adam Wiggins
- RP=MUSH/PG=MUD Jeff Kesselman
- RP=MUSH/PG=MUD Adam Wiggins
- RP=MUSH/PG=MUD Jeff Kesselman
- RP=MUSH/PG=MUD Adam Wiggins
- RP=MUSH/PG=MUD Jeff Kesselman
- RP=MUSH/PG=MUD Adam Wiggins
- RP=MUSH/PG=MUD Jeff Kesselman
- RP=MUSH/PG=MUD Jon A. Lambert
- RP=MUSH/PG=MUD Caliban Tiresias Darklock
- RP=MUSH/PG=MUD Caliban Tiresias Darklock
- RP=MUSH/PG=MUD clawrenc@cup.hp.com
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- RP=MUSH/PG=MUD clawrenc@cup.hp.com
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- RP=MUSH/PG=MUD clawrenc@cup.hp.com
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- RP=MUSH/PG=MUD clawrenc@cup.hp.com
- RP=MUSH/PG=MUD Caliban Tiresias Darklock
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- RP=MUSH/PG=MUD Caliban Tiresias Darklock
- RP=MUSH/PG=MUD Martin Keegan
- RP=MUSH/PG=MUD clawrenc@cup.hp.com
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- RP=MUSH/PG=MUD Brandon Cline
- RP=MUSH/PG=MUD coder@ibm.net
- RP=MUSH/PG=MUD Jeff Kesselman
- RP=MUSH/PG=MUD clawrenc@cup.hp.com
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- RP=MUSH/PG=MUD Chris Gray
- RP=MUSH/PG=MUD clawrenc@cup.hp.com
- RP=MUSH/PG=MUD clawrenc@cup.hp.com
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- RP=MUSH/PG=MUD Adam Wiggins
- RP=MUSH/PG=MUD Jeff Kesselman
- RP=MUSH/PG=MUD clawrenc@cup.hp.com
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- RP=MUSH/PG=MUD clawrenc@cup.hp.com
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- RP=MUSH/PG=MUD clawrenc@cup.hp.com
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- Computers can't.... Jeff Kesselman
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- I have no words and I must design clawrenc@cup.hp.com
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- The laws of probability clawrenc@cup.hp.com
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- "short" Introductory Message (fwd) clawrenc@cup.hp.com
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- "short" Introductory Message (fwd) clawrenc@cup.hp.com
- "short" Introductory Message (fwd) Nathan Yospe
- "short" Introductory Message (fwd) clawrenc@cup.hp.com
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- "short" Introductory Message (fwd) clawrenc@cup.hp.com
- "short" Introductory Message (fwd) Martin Keegan
- "short" Introductory Message (fwd) clawrenc@cup.hp.com
- "short" Introductory Message (fwd) Matt Chatterley
- "short" Introductory Message (fwd) clawrenc@cup.hp.com
- "short" Introductory Message (fwd) Martin Keegan
- "short" Introductory Message (fwd) clawrenc@cup.hp.com
- "short" Introductory Message (fwd) Martin Keegan
- "short" Introductory Message (fwd) Marian Griffith
- "short" Introductory Message (fwd) clawrenc@cup.hp.com
- "short" Introductory Message (fwd) Jeff Kesselman
- "short" Introductory Message (fwd) clawrenc@cup.hp.com
- "short" Introductory Message (fwd) Jon A. Lambert
- "short" Introductory Message (fwd) Martin Keegan
- "short" Introductory Message (fwd) clawrenc@cup.hp.com
- "short" Introductory Message (fwd) Martin Keegan
- "short" Introductory Message (fwd) clawrenc@cup.hp.com
- "short" Introductory Message (fwd) Martin Keegan
- "short" Introductory Message (fwd) clawrenc@cup.hp.com
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- The Difference between.. Jeff Kesselman
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- The Difference between.. clawrenc@cup.hp.com
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- Mob AI Brandon Cline
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- Hardcore server design clawrenc@cup.hp.com
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- try it out! Chris Gray
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- Level abstractions - Realism vs Game Issues Matt Chatterley
- Level abstractions - Realism vs Game Issues clawrenc@cup.hp.com
- Level abstractions - Realism vs Game Issues Matt Chatterley
- Level abstractions - Realism vs Game Issues clawrenc@cup.hp.com
- Level abstractions - Realism vs Game Issues clawrenc@cup.hp.com
- Level abstractions - Realism vs Game Issues Martin Keegan
- Level abstractions - Realism vs Game Issues Matt Chatterley
- Level abstractions - Realism vs Game Issues Adam Wiggins
- Level abstractions - Realism vs Game Issues Matt Chatterley
- Level abstractions - Realism vs Game Issues Nathan Yospe
- Level abstractions - Realism vs Game Issues Matt Chatterley
- Level abstractions - Realism vs Game Issues clawrenc@cup.hp.com
- Level abstractions - Realism vs Game Issues Nathan Yospe
- Level abstractions - Realism vs Game Issues clawrenc@cup.hp.com
- Level abstractions - Realism vs Game Issues Nathan Yospe
- Level abstractions - Realism vs Game Issues Matt Chatterley
- Level abstractions - Realism vs Game Issues Martin Keegan
- Level abstractions - Realism vs Game Issues Adam Wiggins
- Level abstractions - Realism vs Game Issues Jeff Kesselman
- Level abstractions - Realism vs Game Issues Adam Wiggins
- Level abstractions - Realism vs Game Issues Jon A. Lambert
- Level abstractions - Realism vs Game Issues Nathan Yospe
- Level abstractions - Realism vs Game Issues Matt Chatterley
- Level abstractions - Realism vs Game Issues Nathan Yospe
- Level abstractions - Realism vs Game Issues Matt Chatterley
- Level abstractions - Realism vs Game Issues clawrenc@cup.hp.com
- Flexible, Modular Server Design Brandon Cline
- Flexible, Modular Server Design Jeff Kesselman
- Flexible, Modular Server Design Chris Gray
- Another Approach (was: Integrating PK) Brandon Gillespie
- Another Approach (was: Integrating PK) Jon A. Lambert
- Another Approach (was: Integrating PK) Nathan Yospe
- Another Approach (was: Integrating PK) clawrenc@cup.hp.com
- Level abstractions Huibai
- Alright... IF your gonna do Disease... Jon A. Lambert
- thread splitting Alex Oren
- thread splitting coder@ibm.net
- thread splitting coder@ibm.net
- thread splitting Caliban Tiresias Darklock
- Senses & geographical events Wout Mertens
- Senses & geographical events Chris Gray
- Senses & geographical events clawrenc@cup.hp.com
- Additions to sensory planes Wout Mertens
- Nation of shopkeepers Martin Keegan
- Nation of shopkeepers Huibai
- Nation of shopkeepers Jeff Kesselman
- Nation of shopkeepers Adam Wiggins
- Nation of shopkeepers Matt Chatterley
- Nation of shopkeepers Jeff Kesselman
- Nation of shopkeepers Matt Chatterley
- Nation of shopkeepers Marian Griffith
- Nation of shopkeepers Jeff Kesselman
- Nation of shopkeepers Matt Chatterley
- Nation of shopkeepers Marian Griffith
- Nation of shopkeepers clawrenc@cup.hp.com
- Nation of shopkeepers Marian Griffith
- Nation of shopkeepers Brandon Van Every
- Nation of shopkeepers Jon A. Lambert
- Nation of shopkeepers Marian Griffith
- Nation of shopkeepers Matt Chatterley
- Nation of shopkeepers Marian Griffith
- Nation of shopkeepers Jeff Kesselman
- Nation of shopkeepers Matt Chatterley
- Nation of shopkeepers Adam Wiggins
- Nation of shopkeepers clawrenc@cup.hp.com
- Nation of shopkeepers Matt Chatterley
- Nation of shopkeepers Adam Wiggins
- Nation of shopkeepers Adam Wiggins
- Nation of shopkeepers Alex Oren
- Nation of shopkeepers Matt Chatterley
- Nation of shopkeepers Chris Gray