Suchergebnisse - coding ((algorithm OR Algorithms) OR (algorithmics OR algorithmssics))
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581
Non-commutative error correcting codes and proper subgroup testing
Veröffentlicht 2024Inhaltsangabe: “… . By property testing we refer to an ensemble of problems, results and algorithms which enable to deduce global …”
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582
Algorithm Support for Graph Databases, Done Right
Veröffentlicht 2026Inhaltsangabe: “… Graph database query languages cannot express algorithms like PageRank, forcing costly data …”
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583
Exploring LLM-Driven Explanations for Quantum Algorithms
Veröffentlicht 2024Inhaltsangabe: “… changes to the design and implementation of algorithms. Understanding quantum algorithms requires …”
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584
STAB: Specification-driven Testing for Algorithmic Bottlenecks
Veröffentlicht 2026Inhaltsangabe: “… Evaluating the efficiency of algorithmic code requires test cases that expose runtime bottlenecks …”
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585
Graph-based Algorithms for Linear Computation Coding
Veröffentlicht 2024Inhaltsangabe: “… We revisit existing linear computation coding (LCC) algorithms, and introduce a new framework …”
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586
Opening the Black Box Inside Grover's Algorithm
Veröffentlicht 2023Inhaltsangabe: “… Grover's algorithm is a primary algorithm offered as evidence that quantum computers can provide …”
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587
Improved Decoding Algorithm of BD-LRPC Codes
Veröffentlicht 2025Inhaltsangabe: “… A Bounded-Degree Low-Rank Parity-Check (BD-LRPC) code is a rank-metric code that admits a parity …”
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588
A topology for Engel expansions: evaluation and digit coding maps
Veröffentlicht 2025Inhaltsangabe: “… with the product topology to study the evaluation map, and we fix a nonterminating digit algorithm to study …”
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589
GEAKG: Generative Executable Algorithm Knowledge Graphs
Veröffentlicht 2026Inhaltsangabe: “… In the context of algorithms for problem solving, procedural knowledge -- the know-how of algorithm …”
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590
Sequential Multi-Agent Dynamic Algorithm Configuration
Veröffentlicht 2025Inhaltsangabe: “… automated algorithm configuration. Our code is available at https://github.com/lamda-bbo/seq-madac. …”
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591
MM Algorithms for Statistical Estimation in Quantile Regression
Veröffentlicht 2024Inhaltsangabe: “… constructs and tests MM algorithms, which are simple to code and have been suggested superior to some other …”
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592
Latent Space Representations of Neural Algorithmic Reasoners
Veröffentlicht 2023Inhaltsangabe: “… Neural Algorithmic Reasoning (NAR) is a research area focused on designing neural architectures …”
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593
MINAR: Mechanistic Interpretability for Neural Algorithmic Reasoning
Veröffentlicht 2026Inhaltsangabe: “… The recent field of neural algorithmic reasoning (NAR) studies the ability of graph neural networks …”
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594
An Efficient Evolutionary Algorithm for Few-for-Many Optimization
Veröffentlicht 2026Inhaltsangabe: “… algorithms, especially on instances involving a large number of objectives. The source code of the proposed …”
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595
QISS: Quantum Industrial Shift Scheduling Algorithm
Veröffentlicht 2024Inhaltsangabe: “… In this paper, we show the design and implementation of a quantum algorithm for industrial shift …”
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596
A blindness property of the Min-Sum decoding for the toric code
Veröffentlicht 2024Inhaltsangabe: “… theoretical analysis of the toric code under min-sum (MS) decoding, a message-passing decoding algorithm known …”
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597
Batched high-rate logical operations for quantum LDPC codes
Veröffentlicht 2025Inhaltsangabe: “… High-rate quantum LDPC (qLDPC) codes reduce memory overhead by densely packing many logical qubits …”
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598
Modified OSD Algorithm with Reduced Gaussian Elimination
Veröffentlicht 2024Inhaltsangabe: “… In this paper, the OSD algorithm is modified to perform a limited GE with $O(N^3 \min\{R, 1-R\}^3 …”
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599
A coding theoretic study of homogeneous Markovian predictive games
Veröffentlicht 2025Inhaltsangabe: “… coding scheme, inspired by the martingale convergence theorem and algorithmic randomness theory, without …”
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600
Graphery: Interactive Tutorials for Biological Network Algorithms
Veröffentlicht 2021Inhaltsangabe: “… commonly-used graph algorithms. Each tutorial describes a graph concept along with executable Python code …”
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