Data Structures and Algorithm Analysis in C

... orientation) for the presence of the word. This amounts to lots of nested for loops but is basically straightforward. Alternatively, for each ordered quadruple (row, column, orientation, number of characters) that doesn't run off an end of the puzzle, we can test whether the word indicated is in the ...

... orientation) for the presence of the word. This amounts to lots of nested for loops but is basically straightforward. Alternatively, for each ordered quadruple (row, column, orientation, number of characters) that doesn't run off an end of the puzzle, we can test whether the word indicated is in the ...

Page 264, Exercise 1

... a subrange of the integers starting at (INT_MIN) and ending at the maximum integer (INT_MAX) on the computer functions: for all x, y ∈ Set; TRUE, FALSE ∈ Boolean and the Boolean operations defined in Problem 4 are available (not, and, or,...) and where ==, Ø, +, head(s), tail(s) are the usual set op ...

... a subrange of the integers starting at (INT_MIN) and ending at the maximum integer (INT_MAX) on the computer functions: for all x, y ∈ Set; TRUE, FALSE ∈ Boolean and the Boolean operations defined in Problem 4 are available (not, and, or,...) and where ==, Ø, +, head(s), tail(s) are the usual set op ...

Java Structures: Data Structures for the Principled Programmer

... This book focuses on data structures implemented in the Python language. Python is a scripting language. This means that it can be used to solve a wide variety of problems and its programs are presented as scripts that are directly interpreted. In traditional programming languages, like C or Java, p ...

... This book focuses on data structures implemented in the Python language. Python is a scripting language. This means that it can be used to solve a wide variety of problems and its programs are presented as scripts that are directly interpreted. In traditional programming languages, like C or Java, p ...

Practical Parallel Data Structures

... concept in this thesis. We start by designing the first wait-free linked-list with practical performance. We then generalize the technique, and offer an automatic transformation that allows even a non-expert to design efficient wait-free data structures. We use the proposed transformation to obtain ...

... concept in this thesis. We start by designing the first wait-free linked-list with practical performance. We then generalize the technique, and offer an automatic transformation that allows even a non-expert to design efficient wait-free data structures. We use the proposed transformation to obtain ...

Data Structures and Algorithms: Table of Contents

... expensive for large graphs, no matter how efficient we try to make the program. A second approach would be to look for additional information about the problem at hand. It may turn out that the graph has some special properties, which make it unnecessary to try all possibilities in finding an optima ...

... expensive for large graphs, no matter how efficient we try to make the program. A second approach would be to look for additional information about the problem at hand. It may turn out that the graph has some special properties, which make it unnecessary to try all possibilities in finding an optima ...

Dynamic Data Structures for Document Collections and Graphs

... as listing or counting all labels related to an object, listing or counting all objects related to a label, and telling whether a label and an object are related. Their method reduces queries on a binary relation R to rank, select, and access queries on SR and BR . Another data structure that stores ...

... as listing or counting all labels related to an object, listing or counting all objects related to a label, and telling whether a label and an object are related. Their method reduces queries on a binary relation R to rank, select, and access queries on SR and BR . Another data structure that stores ...

Algorithms and Data Structures for Games Programming

... (STL)) provides very efficient implementations of the most common data structures and algorithms. When I’m using Standard Library (STL) features on something I’m not too sure about, I have (Josuttis 1999), (Reese 2007), (Meyers 2001) and (Stroustrup 1997) by my right hand. For both STL and C++, (Str ...

... (STL)) provides very efficient implementations of the most common data structures and algorithms. When I’m using Standard Library (STL) features on something I’m not too sure about, I have (Josuttis 1999), (Reese 2007), (Meyers 2001) and (Stroustrup 1997) by my right hand. For both STL and C++, (Str ...

Towards Constant Bandwidth Overhead E.

... logarithmic number of hashes must be read each time the data is accessed. One proposed use of a hash tree is in a single-chip secure processor [5, 10, 19], where it is used to check the integrity of external memory. A secure processor can be used to help license software programs, where it seeks to ...

... logarithmic number of hashes must be read each time the data is accessed. One proposed use of a hash tree is in a single-chip secure processor [5, 10, 19], where it is used to check the integrity of external memory. A secure processor can be used to help license software programs, where it seeks to ...

Algorithms and Compressed Data Structures for Information Retrieval

... In this thesis we address the problem of the eﬃciency in Information Retrieval by presenting new compressed data structures and algorithms that can be used in diﬀerent application domains and achieve interesting space/time properties. We propose (i) a new variable-length encoding scheme for sequence ...

... In this thesis we address the problem of the eﬃciency in Information Retrieval by presenting new compressed data structures and algorithms that can be used in diﬀerent application domains and achieve interesting space/time properties. We propose (i) a new variable-length encoding scheme for sequence ...

Compressed Data Structures for Dynamic Sequences

... number of elements that are marked as deleted is bounded by O(n/r). If a subsequence Si contains many elements marked as deleted, it is re-built: we create a new instance of Si that does not contain deleted symbols. If a symbol sequence S0 contains too many elements, we insert the elements of S0 int ...

... number of elements that are marked as deleted is bounded by O(n/r). If a subsequence Si contains many elements marked as deleted, it is re-built: we create a new instance of Si that does not contain deleted symbols. If a symbol sequence S0 contains too many elements, we insert the elements of S0 int ...

New data structures and algorithms for the efficient management of

... Our data structures can be used in several application domains. We propose specific variants and combinations of our generic proposals to represent temporal graphs, RDF databases, OLAP databases, binary or general raster data, and temporal raster data. We also propose a new algorithm to jointly quer ...

... Our data structures can be used in several application domains. We propose specific variants and combinations of our generic proposals to represent temporal graphs, RDF databases, OLAP databases, binary or general raster data, and temporal raster data. We also propose a new algorithm to jointly quer ...

I n - Computer Science at Virginia Tech

... Some Questions to Ask • Are all data inserted into the data structure at the beginning, or are insertions interspersed with other operations? • Can data be deleted? • Are all data processed in some welldefined order, or is random access allowed? ...

... Some Questions to Ask • Are all data inserted into the data structure at the beginning, or are insertions interspersed with other operations? • Can data be deleted? • Are all data processed in some welldefined order, or is random access allowed? ...