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Heuristics01:21

Heuristics

111
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
111
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

455
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
455
Routh-Hurwitz Criterion I01:15

Routh-Hurwitz Criterion I

289
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
289
Reducing Line Loss01:18

Reducing Line Loss

174
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
174
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

11.3K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
11.3K
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

2.6K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
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Related Experiment Video

Updated: Jul 24, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Variable-to-Variable Huffman Coding: Optimal and Greedy Approaches.

Kun Tu1, Dariusz Puchala2

  • 1School of Mathematical Sciences, Yangzhou University, 88 South Daxue Road, Yangzhou 225002, China.

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|July 8, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces m-gram entropy variable-to-variable coding, extending Huffman coding for symbol sequences. An approximate linear-complexity approach yields results close to optimal and surpasses DEFLATE/PPM for certain data.

Keywords:
Huffman codinglossless data compressionvariable-to-variable m-gram entropy coding

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Area of Science:

  • Information Theory
  • Computer Science
  • Data Compression

Background:

  • Classical Huffman coding is limited to single symbols.
  • Variable-to-variable coding for symbol sequences (m-grams) is an extension.

Purpose of the Study:

  • To extend Huffman coding for m-gram entropy variable-to-variable coding.
  • To develop an optimal algorithm and an efficient approximate approach for m-gram coding.

Main Methods:

  • Developed a procedure for determining m-gram frequencies.
  • Formulated an optimal coding algorithm with O(mn2) complexity.
  • Proposed a greedy heuristic-based approximate approach with linear complexity.

Main Results:

  • The optimal algorithm's complexity is O(mn2).
  • The approximate approach achieves near-optimal results.
  • The approximate approach outperforms DEFLATE and PPM on data with stable statistics.

Conclusions:

  • The proposed approximate method offers a practical solution for m-gram entropy coding.
  • This approach is particularly effective for data with predictable statistical properties.