Description

Book Synopsis

Domination in Diameter Two Graphs and the 2 Club Cluster Vertex Deletion Parameter.- $k$-Universality of Regular Languages Revisited.- Comparing the Hardness of Online Minimization and Maximization Problems with Predictions.- Complexity Classes for Online Problems with and without Predictions.- Scheduling with Testing: Competitive Algorithms for Minimizing the Total Weighted Completion Time in the Adversarial Model.- Mixed Graph Covering with Target Constraints.- Multiplication of 0-1 matrices via clustering.- From MAXCUT to MAXNAESAT: Elegant Proofs and Algorithmic Advances.- Exact Algorithms for the Maximum $k$-Balanced Weighted Biclique Problem.- Approximation Algorithms for Individual Preference Facility Location.- The online power cover problem on a line.- The Subinterval Cover Problem.- Oblivious Robots Under Round Robin: Gathering on Rings.- Finding a Set of Long Common Substrings with Repeats from m Input Strings.- A LP-rounding based algorithm for soft capacitated facility location problem with submodular penalties.- Less-excludable Mechanism for DAOs in Public Good Auctions.- TBDS: Transaction-Based Data Sharing.- Pure Nash Equilibria of Weighted Picking Sequence Protocol is WEF1 for Two Agents.- A Comparative Study of Waitlist Mechanisms: Deferral Versus Pay-Per-Offer.- Optimal Repurchasing Contract Design for Efficient Utilization of Computing Resources.- Characterizing Strategyproofness Through Score Functions in Voting Mechanisms.- Minimizing Blocking Agents for Stable Matching with Partial Approval Information.- The Capacity-Constrained Facility Location Problem with Ordinal Preferences: Algorithmic and Mechanism Design Perspectives.- Regularized Minimax-V Learning for Solving Randomly Terminating Two-player Zero-sum Markov Games.- Improved Approximation of Maximin Share Fair Allocation under Generalized Assignment Constraints.- Optimal Hiring Strategy in Auction-Based Crowdsourcing Systems.- Large-Scale Contextual Market Equilibrium Computation through Deep Learning.- Fair Value Distribution in Cooperative Committee Election.- A Payoff-Based Policy Gradient Method in Stochastic Games with Long-Run Average Payoffs.- Mechanism Design for Auctions with Externalities on Budgets.

Frontiers of Algorithmics

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    A Paperback by Vincent Chau

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      Publisher: Springer
      Publication Date: 30/07/2025
      ISBN13: 9789819683116, 978-9819683116
      ISBN10:

      Description

      Book Synopsis

      Domination in Diameter Two Graphs and the 2 Club Cluster Vertex Deletion Parameter.- $k$-Universality of Regular Languages Revisited.- Comparing the Hardness of Online Minimization and Maximization Problems with Predictions.- Complexity Classes for Online Problems with and without Predictions.- Scheduling with Testing: Competitive Algorithms for Minimizing the Total Weighted Completion Time in the Adversarial Model.- Mixed Graph Covering with Target Constraints.- Multiplication of 0-1 matrices via clustering.- From MAXCUT to MAXNAESAT: Elegant Proofs and Algorithmic Advances.- Exact Algorithms for the Maximum $k$-Balanced Weighted Biclique Problem.- Approximation Algorithms for Individual Preference Facility Location.- The online power cover problem on a line.- The Subinterval Cover Problem.- Oblivious Robots Under Round Robin: Gathering on Rings.- Finding a Set of Long Common Substrings with Repeats from m Input Strings.- A LP-rounding based algorithm for soft capacitated facility location problem with submodular penalties.- Less-excludable Mechanism for DAOs in Public Good Auctions.- TBDS: Transaction-Based Data Sharing.- Pure Nash Equilibria of Weighted Picking Sequence Protocol is WEF1 for Two Agents.- A Comparative Study of Waitlist Mechanisms: Deferral Versus Pay-Per-Offer.- Optimal Repurchasing Contract Design for Efficient Utilization of Computing Resources.- Characterizing Strategyproofness Through Score Functions in Voting Mechanisms.- Minimizing Blocking Agents for Stable Matching with Partial Approval Information.- The Capacity-Constrained Facility Location Problem with Ordinal Preferences: Algorithmic and Mechanism Design Perspectives.- Regularized Minimax-V Learning for Solving Randomly Terminating Two-player Zero-sum Markov Games.- Improved Approximation of Maximin Share Fair Allocation under Generalized Assignment Constraints.- Optimal Hiring Strategy in Auction-Based Crowdsourcing Systems.- Large-Scale Contextual Market Equilibrium Computation through Deep Learning.- Fair Value Distribution in Cooperative Committee Election.- A Payoff-Based Policy Gradient Method in Stochastic Games with Long-Run Average Payoffs.- Mechanism Design for Auctions with Externalities on Budgets.

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