data structures and algorithms using python and c pdf download
Tài liệu DATA STRUCTURES AND ALGORITHMS USING C# pdf
Ngày tải lên :
22/12/2013, 10:16
... subcategories.
Linear collections can be either direct access collections or sequential access
collections, whereas nonlinear collections can be either hierarchical or
grouped. This section describes each of ... GENERICS, AND TIMING CLASS
C
OLLECTIONS
D
EFINED
A collection is a structured data type that stores data and provides operations
for adding data to the collection, removing data from the collection, ... a Collection class
using an abstract class from the .NET Framework, the CollectionBase class.
T
HE
C
OLLECTION
B
ASE
C
LASS
The .NET Framework library does not include a generic Collection class
for...
- 366
- 686
- 4
data structures and algorithms using visual basic.net - michael mcmillan
Ngày tải lên :
17/04/2014, 09:15
... into the collection at the specified index.
r
Remove: Removes the first occurrence of a speci c object from the collec-
tion.
r
Contains: Determines whether the collection contains a speci c element.
r
IndexOf: ... collection class. Examining
P1: KsF
052154765 2c0 1 CB820-McMillan-v1 April 21, 2005 16:38
CHAPTER
1
Collections
This book discusses the development and implementation of data structures
and algorithms ... own collection class (using the array as the basis of our implementation)
and then by covering the collection classes in the .NET Framework.
COLLECTIONS DEFINED
A collection is a structured data...
- 412
- 488
- 0
data structures and algorithms in python
Ngày tải lên :
24/04/2014, 15:03
... language, such as C, C+ +, Python, or Java, and that he or she understands the
main constructs from such a high-level language, including:
ã Variables and expressions.
ã Decision structures (such as ... Data Structures and
Algorithms in Python
Michael T. Goodrich
Department of Computer Science
University of California, Irvine
Roberto Tamassia
Department of Computer Science
Brown University
Michael ... most fundamental control structures: condi-
tional statements and loops. Common to all control structures is the syntax used
in Python for defining blocks of code. The colon character is used to...
- 770
- 6.1K
- 0
Data Structures and Algorithms - Chapter 3 -Stack Applications pdf
Ngày tải lên :
06/03/2014, 17:20
... bracket-matched checking:
(1) Unmatched closing bracket detected.
(2) Unmatched opening bracket detected.
(3) Bad match symbol.
(4) Stack is overflow.
Return failed or success.
Uses Stack ADT, function ... stackObj in
application’s
algorithm)
stackObj.Clear()
Parsing
<ErrorCode> BracketParse()
Check the brackets are correctly matched or not.
Pre None.
Post Print the results of bracket-matched ... (format for nodes and
branches, with or without cost), directed or undirected, cyclic or
acyclic graph.
Determine main goal.
Specify input and output.
Necessary function for all goal seeking...
- 37
- 621
- 0
Algorithms and data structures with applications to graphics and geometry
Ngày tải lên :
08/05/2014, 18:16
...
introduction
to
a
novel
and
increasingly important discipline
in
computer
science:
efficient and
robust
geometric computation.
This
broad
collection
of
fundamental computer
science ...
and
metric
data
structures
that
partition
space
according
to
predefined
grids.
Part
VI,
"Interaction Between Algorithms
and
Data
Structures: Case
Studies
in
Geometric Computation" ...
functional
specification.
In
contrast
to
many books
on
data
structures
which emphasize
lists
and
comparative
search
techniques,
we
attach
equal
importance
to
address
computation
and
metric...
- 365
- 446
- 0
Tài liệu Báo cáo khoa học: "Learning with Unlabeled Data for Text Categorization Using Bootstrapping and Feature Projection Techniques" doc
Ngày tải lên :
20/02/2014, 16:20
...
=
∈∈
j
CCS
i
Cc
SXsimavercXsim
i
cji
(9)
In formula 9, i) X is a remaining context, ii)
{
}
m
cccC , ,,
21
= is a category set, and iii)
{
}
nc
SS
i
, ,
1
=CC
is
a controid-contexts set of category ...
(talk.politics.misc, talk.religion.misc, and
comp.os.ms-windows.misc) and one duplicate
meaning
category (comp.sys. ibm.pc.hardware).
The second data set comes from the
WebKB
project at CMU (Craven ... finally
construct context-cluster of each category as the
combination of centroid-contexts and contexts
selected by the similarity measure. Using the
context-clusters as labeled training data, ...
- 8
- 443
- 0
Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
Ngày tải lên :
15/03/2014, 09:20
...
Rules
Low
Confidence
Rule
© Tan,Steinbach, Kumar Introduction to Data Mining 8
Frequent Itemset Generation
null
AB AC AD AE BC BD BE CD CE DE
A B C D E
ABC ABD ABE ACD ACE ADE BCD BCE BDE CDE
ABCD ... Lattice
–
General-to-specific vs Specific-to-general
Data Mining
Association Analysis: Basic Concepts
and Algorithms
Lecture Notes for Chapter 6
Introduction to Data Mining
by
Tan, Steinbach, ... Comparisons
Candidate counting:
–
Scan the database of transactions to determine the support of each candidate itemset
–
To reduce the number of comparisons, store the candidates in a hash structure
ã
...
- 82
- 3.9K
- 0
Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
Ngày tải lên :
15/03/2014, 09:20
...
generate candidate sequences that contain k items
Candidate Pruning:
ã
Prune candidate k-sequences that contain infrequent (k-1)-
subsequences
Support Counting:
ã
Make a new pass over the sequence ... Sequence
Web sequence:
< {Homepage} {Electronics} {Digital Cameras} {Canon Digital
Camera} {Shopping Cart} {Order Confirmation} {Return to
Shopping} >
Sequence of initiating events causing ... Tan,Steinbach, Kumar Introduction to Data Mining 3
Handling Categorical Attributes
Transform categorical attribute into asymmetric
binary variables
Introduce a new “item” for each distinct attribute-
value...
- 67
- 3.4K
- 1
Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
Ngày tải lên :
15/03/2014, 09:20
...
(clusters) such that each data object is in exactly
one subset
Hierarchical clustering
–
A set of nested clusters organized as a hierarchical
tree
© Tan,Steinbach, Kumar Introduction to Data ...
represent a particular concept.
.
2 Overlapping Circles
© Tan,Steinbach, Kumar Introduction to Data Mining 10
Types of Clusters
Well-separated clusters
Center-based clusters
Contiguous clusters
... shapes, and densities
© Tan,Steinbach, Kumar Introduction to Data Mining 15
Types of Clusters: Conceptual Clusters
Shared Property or Conceptual Clusters
–
Finds clusters that share some common...
- 104
- 2.2K
- 0
Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot
Ngày tải lên :
15/03/2014, 09:20
... Merging Schemes
Closeness schemes
will merge (a) and (b)
(a)
(b)
(c)
(d)
Average connectivity schemes
will merge (c) and (d)
© Tan,Steinbach, Kumar Introduction to Data Mining 9
Graph-Based Clustering: ... clusters of well-connected
vertices
–
Each cluster should contain mostly points from one
“true” cluster, i.e., is a sub-cluster of a “real” cluster
© Tan,Steinbach, Kumar Introduction to Data ... Densities
Original Points
CURE
© Tan,Steinbach, Kumar Introduction to Data Mining 14
Chameleon: Clustering Using Dynamic Modeling
Adapt to the characteristics of the data set to find the
natural clusters
Use...
- 37
- 703
- 0
Building Software for Simulation: Theory and Algorithms, with Applications in C++ doc
Ngày tải lên :
29/03/2014, 22:20
... next11
while d
c
> 0 and cents ≥ 10 do12
d
c
← d
c
−1, cents ← cents −1013
C ← C ∪{dime}14
end15
Pick nickels last16
while n
c
> 0 and cents ≥ 5 do17
n
c
← n
c
−1, cents ← cents −518
C ← C ∪{nickel}19
end20
return ... yy C 3 1
xx C4 1 0 yy C 4 1
xx C5 1 0 yy C 5 0
xx C6 1 0 yy C 6 0
xx C7 1 0 yy C 7 0
xx C8 1 0 yy C 8 1
xx C9 0 0 yy C 9 1
xx C1 0 0 0 yy C 10 1
xx C1 1 0 0 yy C 11 1
xx C1 2 0 0 yy C 12 1
xx C1 3 ... coins2
C ←∅3
Copy the inventory of the machine4
q
c
← q, d
c
← d, n
c
← n5
Pick quarters first6
while q
c
> 0 and cents ≥ 25 do7
q
c
← q
c
−1, cents ← cents −258
C ← C ∪{quarter}9
end10
Pick dimes...
- 359
- 1.1K
- 0