Algorithm complexity is very often used for comparison of different algorithms in order to assess theirs properties. Nevertheless there are some other factors like actual speed for the expected applications, memory needed and others that might influence the final behaviour of the proposed algorithm. The aim of this contribution is to demonstrate some thoughts and connection between algorithm complexity, speed and discuss the influence of possible pre-processing to the final algorithm complexity. It will be also shown how some precise formulations could lead to better and faster algorithms to decrease algorithm complexity. The influence of pre-processing will be analysed according to the algorithm complexity change
Design and Analysis of Algorithms is a field of computer science that focuses on the study of algori...
An algorithm is first defined by an example of making pancakes and then through discussion of how co...
In the comparative analysis of dierent algorithm, O- and o-notions are fre-quently used. While their...
In this paper, we apply different software complexity measures to a set of shortest-path algorithms....
An algorithm is a sequence of computational steps performed on a data input to generate a required r...
Proof complexity can be a tool for studying the efficiency of algorithms. By proving a single lower ...
This paper approaches computational complexity as the determination of the intrinsic difficulty of m...
A short elementary description of the problems of computing complexity for nonspecialists. On simple...
This work is a study of an information theoretic model which is used to develop a complexity measure...
Metaheuristics are a family of algorithmic techniques that are useful for solving difficult problems...
Basic definition of algorithm in mathematics is step by step procedure to solve a problem. Algorithm...
An algorithm complexity, or its efficiency, meaning its time of evaluation is the focus of primary c...
A fundamental problem in computer science is, stated informally: Given a problem, how hard is it?. W...
A preordering ⩽1 for comparing the computational complexity is introduced on the class of iterative ...
What does it mean to say that some computational problem is intrinsically more difficult than some o...
Design and Analysis of Algorithms is a field of computer science that focuses on the study of algori...
An algorithm is first defined by an example of making pancakes and then through discussion of how co...
In the comparative analysis of dierent algorithm, O- and o-notions are fre-quently used. While their...
In this paper, we apply different software complexity measures to a set of shortest-path algorithms....
An algorithm is a sequence of computational steps performed on a data input to generate a required r...
Proof complexity can be a tool for studying the efficiency of algorithms. By proving a single lower ...
This paper approaches computational complexity as the determination of the intrinsic difficulty of m...
A short elementary description of the problems of computing complexity for nonspecialists. On simple...
This work is a study of an information theoretic model which is used to develop a complexity measure...
Metaheuristics are a family of algorithmic techniques that are useful for solving difficult problems...
Basic definition of algorithm in mathematics is step by step procedure to solve a problem. Algorithm...
An algorithm complexity, or its efficiency, meaning its time of evaluation is the focus of primary c...
A fundamental problem in computer science is, stated informally: Given a problem, how hard is it?. W...
A preordering ⩽1 for comparing the computational complexity is introduced on the class of iterative ...
What does it mean to say that some computational problem is intrinsically more difficult than some o...
Design and Analysis of Algorithms is a field of computer science that focuses on the study of algori...
An algorithm is first defined by an example of making pancakes and then through discussion of how co...
In the comparative analysis of dierent algorithm, O- and o-notions are fre-quently used. While their...