hash function
... it is imperative to keep the load factor below 0.75 if the table becomes three-quarters full, then must resize create new table at least twice as big just copy over table entries to same locations??? NO! when you resize, you have to rehash existing entries new table size new hash function (+ ...
... it is imperative to keep the load factor below 0.75 if the table becomes three-quarters full, then must resize create new table at least twice as big just copy over table entries to same locations??? NO! when you resize, you have to rehash existing entries new table size new hash function (+ ...
The NDN Forwarding Plane
... Decides what to do for each incoming packet. Can be divided into multiple layers based on the functions: 1. The strategy layer Selects forwarding strategies and impacts the forwarding decisions. 2. The data forwarding layer Packet forwarding, pending Interest management and temporary content sto ...
... Decides what to do for each incoming packet. Can be divided into multiple layers based on the functions: 1. The strategy layer Selects forwarding strategies and impacts the forwarding decisions. 2. The data forwarding layer Packet forwarding, pending Interest management and temporary content sto ...
hash function
... Analysis of chaining in practice, chaining is generally faster than probing cost of insertion is O(1) – simply map to index and add to list cost of search is proportional to number of items already mapped to same index e.g., using naïve "first letter" hash function, searching for "APPLE" might ...
... Analysis of chaining in practice, chaining is generally faster than probing cost of insertion is O(1) – simply map to index and add to list cost of search is proportional to number of items already mapped to same index e.g., using naïve "first letter" hash function, searching for "APPLE" might ...
Midterm Solutions
... (b) To determine whether the ith line is involved in an intersection with 3 (or more) lines: • Create a symbol table with key = point, value = list (say, a queue) of lines. • For each line j 6= i in order: – Compute the intersection point p between line i and line j. – If they don’t intersect, conti ...
... (b) To determine whether the ith line is involved in an intersection with 3 (or more) lines: • Create a symbol table with key = point, value = list (say, a queue) of lines. • For each line j 6= i in order: – Compute the intersection point p between line i and line j. – If they don’t intersect, conti ...
Midterm Solutions
... (b) To determine whether the ith line is involved in an intersection with 3 (or more) lines: • Create a symbol table with key = point, value = list (say, a queue) of lines. • For each line j 6= i in order: – Compute the intersection point p between line i and line j. – If they don’t intersect, conti ...
... (b) To determine whether the ith line is involved in an intersection with 3 (or more) lines: • Create a symbol table with key = point, value = list (say, a queue) of lines. • For each line j 6= i in order: – Compute the intersection point p between line i and line j. – If they don’t intersect, conti ...
Princeton University COS 217: Introduction to Programming Systems
... • History of modularity: non-modular, structured, abstract object, abstract data type programming • Module qualities: encapsulates data, is consistent, has a minimal interface, detects and handles/reports errors, establishes contracts, has strong cohesion, has weak coupling Performance Improvement • ...
... • History of modularity: non-modular, structured, abstract object, abstract data type programming • Module qualities: encapsulates data, is consistent, has a minimal interface, detects and handles/reports errors, establishes contracts, has strong cohesion, has weak coupling Performance Improvement • ...
Trees
... Better. Use something like insertion sort. Could build custom structure which similarly sorts as it's built. Search using binary search, for example. Search is good, but obvious problems with insertion and deletion, e.g. insert at beginning of array. Requires moving all of the other items along if u ...
... Better. Use something like insertion sort. Could build custom structure which similarly sorts as it's built. Search using binary search, for example. Search is good, but obvious problems with insertion and deletion, e.g. insert at beginning of array. Requires moving all of the other items along if u ...
Lecture 9. Semantic Analysis – Scoping and Symbol Table
... Generally, symbol table is only needed to answer those two questions, i.e., once all declarations have been processed to build the symbol table, and all uses have been processed to link each ID node in the abstract-syntax tree with the corresponding symbol-table entry, then the symbol table itself i ...
... Generally, symbol table is only needed to answer those two questions, i.e., once all declarations have been processed to build the symbol table, and all uses have been processed to link each ID node in the abstract-syntax tree with the corresponding symbol-table entry, then the symbol table itself i ...
DB Support for SW - Department of Computer Engineering
... Drawbacks: Long query time Some queries are difficult No database column type suitable for all literal values. So the value will be stored as string. ...
... Drawbacks: Long query time Some queries are difficult No database column type suitable for all literal values. So the value will be stored as string. ...
In-Memory Columnstore Indexes-
... • Data in clustered index is only stored on disk once (it’s the data from the tables) • Table without a clustered index is called a heap—no order at all ...
... • Data in clustered index is only stored on disk once (it’s the data from the tables) • Table without a clustered index is called a heap—no order at all ...
Data Structures for Midterm 2
... • Uses (key, value) with elements sorted by key – For set: key = value ...
... • Uses (key, value) with elements sorted by key – For set: key = value ...
Course Name
... In an unnormalized data structure, a table can contain information about two or more entities. It can also contain repeating columns, columns with repeating values, and data that’s repeated in two or more rows. In a normalized data structure, each table contains information about a single entity, an ...
... In an unnormalized data structure, a table can contain information about two or more entities. It can also contain repeating columns, columns with repeating values, and data that’s repeated in two or more rows. In a normalized data structure, each table contains information about a single entity, an ...
Data Structures Efficiency
... allows fast retrieval of all articles in given price range [x…y]. Hint: use OrderedMultiDictionary
from Wintellect's Power Collections for .NET.
...
... allows fast retrieval of all articles in given price range [x…y]. Hint: use OrderedMultiDictionary
Data Structures (810:052) Lab 11 - Hashing Name:_________________
... Hashing tries to achieve average constant time (i.e., O(1)) searching by using the target’s value to calculate where in the list/array (called the hash table) to should be located, i.e., each target value gets its own search pattern. The translation of the target value to an list/array index (called ...
... Hashing tries to achieve average constant time (i.e., O(1)) searching by using the target’s value to calculate where in the list/array (called the hash table) to should be located, i.e., each target value gets its own search pattern. The translation of the target value to an list/array index (called ...
Notes 33 Royden
... •Index functions are not always simple functions that compute an integer value from integer inputs. ...
... •Index functions are not always simple functions that compute an integer value from integer inputs. ...
ppt - OoCities
... The need for structured programming: • The basic unit of imperative programming are actions, which can change the values of variables. • A typical action is an assignment. • The following assignment changes the value of variable a: • a = 2+3; or a := 2+3 • The assignment symbol := or = appears betw ...
... The need for structured programming: • The basic unit of imperative programming are actions, which can change the values of variables. • A typical action is an assignment. • The following assignment changes the value of variable a: • a = 2+3; or a := 2+3 • The assignment symbol := or = appears betw ...
Hash Table - Touque.ca
... If the set of key-value pairs is fixed and known ahead of time (no insertions and deletions), average lookup cost can be reduced by a careful choice of the hash function, bucket table size, and internal data structures. ...
... If the set of key-value pairs is fixed and known ahead of time (no insertions and deletions), average lookup cost can be reduced by a careful choice of the hash function, bucket table size, and internal data structures. ...
Table Lookup
... provide that table with an efficient indexing scheme. The table index will allow us to rapidly look up a key value and immediately find the location of the corresponding record in the table. The table will support random access, or at least approximate that, so given a location we can then find the ...
... provide that table with an efficient indexing scheme. The table index will allow us to rapidly look up a key value and immediately find the location of the corresponding record in the table. The table will support random access, or at least approximate that, so given a location we can then find the ...
Hill, Thomas M
... provide that table with an efficient indexing scheme. The table index will allow us to rapidly look up a key value and immediately find the location of the corresponding record in the table. The table will support random access, or at least approximate that, so given a location we can then find the ...
... provide that table with an efficient indexing scheme. The table index will allow us to rapidly look up a key value and immediately find the location of the corresponding record in the table. The table will support random access, or at least approximate that, so given a location we can then find the ...
DDL : Tables
... Objects are defined using the CREATE statement Some objects can be modified using the ALTER statement Objects are removed using the DROP statement Oracle’s data dictionary views such as USER_OBJECTS, USER_TABLES, USER_CONSTRAINTS, USER_COLUMNS, USER_SEQUENCES, USER_INDEXES can be queried using SELEC ...
... Objects are defined using the CREATE statement Some objects can be modified using the ALTER statement Objects are removed using the DROP statement Oracle’s data dictionary views such as USER_OBJECTS, USER_TABLES, USER_CONSTRAINTS, USER_COLUMNS, USER_SEQUENCES, USER_INDEXES can be queried using SELEC ...
Control table
Control tables are tables that control the control flow or play a major part in program control. There are no rigid rules about the structure or content of a control table—its qualifying attribute is its ability to direct control flow in some way through ""execution"" by a processor or interpreter. The design of such tables is sometimes referred to as table-driven design (although this typically refers to generating code automatically from external tables rather than direct run-time tables). In some cases, control tables can be specific implementations of finite-state-machine-based automata-based programming. If there are several hierarchical levels of control table they may behave in a manner equivalent to UML state machinesControl tables often have the equivalent of conditional expressions or function references embedded in them, usually implied by their relative column position in the association list. Control tables reduce the need for programming similar structures or program statements over and over again. The two-dimensional nature of most tables makes them easier to view and update than the one-dimensional nature of program code. In some cases, non-programmers can be assigned to maintain the control tables.