External Memory Value Iteration
... Guided exploration in deterministic state spaces is very effective in domain-dependent [KF07] and domain-independent search [BG01, Hof03]. There have been various attempts trying to integrate the success of heuristic search to more general search models. AO*, for example, extends A* over acyclic AND ...
... Guided exploration in deterministic state spaces is very effective in domain-dependent [KF07] and domain-independent search [BG01, Hof03]. There have been various attempts trying to integrate the success of heuristic search to more general search models. AO*, for example, extends A* over acyclic AND ...
A Quick Overview of Computational Complexity
... •MST •Shortest path O(N log N ) •Search for similar case O(N ) (assuming constant similarity) O(log N) •Binary search ordered array • all the other sorts: O(1) •Simple instruction ...
... •MST •Shortest path O(N log N ) •Search for similar case O(N ) (assuming constant similarity) O(log N) •Binary search ordered array • all the other sorts: O(1) •Simple instruction ...
NP Complexity
... compute the square, thus this type of reduction is Turing reduction – Further note that knowing squaring we can compute multiplication thus multiplication and squaring are equally hard! ...
... compute the square, thus this type of reduction is Turing reduction – Further note that knowing squaring we can compute multiplication thus multiplication and squaring are equally hard! ...
Programming and Problem Solving with Java: Chapter 1
... A set of rules, symbols and special words used to construct a computer program Statements Specific combinations of symbols and special words that are defined by a programming language to be complete units within a program; analogous to sentences in a human language Code Instructions for a computer t ...
... A set of rules, symbols and special words used to construct a computer program Statements Specific combinations of symbols and special words that are defined by a programming language to be complete units within a program; analogous to sentences in a human language Code Instructions for a computer t ...
The IsoRankN Algorithm The score integrates sequence similarity
... between metabolic neighbors of i and j. If the enzyme relations ( ...
... between metabolic neighbors of i and j. If the enzyme relations ( ...
Logic Agents and Propositional Logic
... Satisfiability is connected to entailment via the following: KB ╞ α if and only if (KB α) is unsatisfiable There is no model for which KB=true and a is false. Aka proof by contradiction: assume a to be false and this leads to contradictions with KB. ...
... Satisfiability is connected to entailment via the following: KB ╞ α if and only if (KB α) is unsatisfiable There is no model for which KB=true and a is false. Aka proof by contradiction: assume a to be false and this leads to contradictions with KB. ...
Slide 1
... If agglomeration replicates data, have you verified that this does not compromise the scalability of your algorithm by restricting the range of problem sizes or processor counts that it can address? Has agglomeration yielded tasks with similar computation and communication costs? Does the number of ...
... If agglomeration replicates data, have you verified that this does not compromise the scalability of your algorithm by restricting the range of problem sizes or processor counts that it can address? Has agglomeration yielded tasks with similar computation and communication costs? Does the number of ...
Machine/Assembly Language
... Pseudo code is a way of expressing algorithms that uses a mixture of English phrases and indention to make the steps in the solution explicit. – There are no grammar rules in pseudocode. – Pseudocode is not case sensitive. ...
... Pseudo code is a way of expressing algorithms that uses a mixture of English phrases and indention to make the steps in the solution explicit. – There are no grammar rules in pseudocode. – Pseudocode is not case sensitive. ...
Algorithm
In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ AL-gə-ri-dhəm) is a self-contained step-by-step set of operations to be performed. Algorithms exist that perform calculation, data processing, and automated reasoning.An algorithm is an effective method that can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing ""output"" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.The concept of algorithm has existed for centuries, however a partial formalization of what would become the modern algorithm began with attempts to solve the Entscheidungsproblem (the ""decision problem"") posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define ""effective calculability"" or ""effective method""; those formalizations included the Gödel–Herbrand–Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's ""Formulation 1"" of 1936, and Alan Turing's Turing machines of 1936–7 and 1939. Giving a formal definition of algorithms, corresponding to the intuitive notion, remains a challenging problem.