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Frontiers in Algorithmics

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Cover of 'Frontiers in Algorithmics'

Table of Contents

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    Book Overview
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    Chapter 1 On the Complexity of Minimizing the Total Calibration Cost
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    Chapter 2 On the Fixed-Parameter Tractability of Some Matching Problems Under the Color-Spanning Model
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    Chapter 3 The Complexity of Finding (Approximate Sized) Distance- d Dominating Set in Tournaments
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    Chapter 4 On Computational Aspects of Greedy Partitioning of Graphs
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    Chapter 5 Maximum Edge Bicliques in Tree Convex Bipartite Graphs
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    Chapter 6 Complete Submodularity Characterization in the Comparative Independent Cascade Model
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    Chapter 7 A Risk–Reward Model for On-line Financial Leasing Problem with an Interest Rate
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    Chapter 8 Designing and Implementing Algorithms for the Closest String Problem
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    Chapter 9 The Broken-Triangle Property with Adjoint Values
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    Chapter 10 Online Knapsack Problem Under Concave Functions
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    Chapter 11 Fluctuated Fitting Under the $$\ell _1$$ -metric
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    Chapter 12 Optimal Partitioning Which Maximizes the Weighted Sum of Products
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    Chapter 13 Modular-Width: An Auxiliary Parameter for Parameterized Parallel Complexity
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    Chapter 14 Online Strategies for Evacuating from a Convex Region in the Plane
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    Chapter 15 A Further Analysis of the Dynamic Dominant Resource Fairness Mechanism
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    Chapter 16 A 42 k Kernel for the Complementary Maximal Strip Recovery Problem
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    Chapter 17 On-line Scheduling with a Monotonous Subsequence Constraint
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    Chapter 18 A 1.4-Approximation Algorithm for Two-Sided Scaffold Filling
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    Chapter 19 FPT Algorithms for FVS Parameterized by Split and Cluster Vertex Deletion Sets and Other Parameters
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    Chapter 20 A Constant Amortized Time Algorithm for Generating Left-Child Sequences in Lexicographic Order
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    Chapter 21 Geodetic Contraction Games on Trees
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    Chapter 22 On Approximation Algorithms for Two-Stage Scheduling Problems
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    Chapter 23 A New Lower Bound for Positive Zero Forcing
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    Chapter 24 Phase Transition for Maximum Not-All-Equal Satisfiability
Attention for Chapter 12: Optimal Partitioning Which Maximizes the Weighted Sum of Products
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