Guozhen AIGlobal AI field notes and model intelligence

English series

Programming

English editions of Guozhen AI articles. The text is localized for global readers while the original diagrams, screenshots, and code examples remain aligned with the Chinese source.

Use this series as the technical reading layer, then continue into AI software buyer guides, tool comparisons, benchmarks, API platform decisions, coding agents, and LLM security research.

From Series Reading to Tool Decisions

Turn this AI series into practical software, model, API, and security choices.

English Series FAQ

Use this series as evidence before choosing AI tools.

How should I use the Programming English series?

Use the series as the learning layer for concepts, screenshots, prompts, and implementation details, then continue into buyer guides, tool comparisons, benchmarks, API decisions, and security checks.

Is the Programming series enough to choose an AI tool?

No. The series gives context and practical examples, but production choices still need pricing review, privacy checks, integration testing, benchmark evidence, and fallback planning.

What should I read after this 15-lesson series?

Open AI Software Buyer Guides, AI Tools Workbench, Best AI Coding Agents, AI Model Benchmarks, OpenAI vs Anthropic API, or LLM Security Tools depending on your next decision.

Why keep the original diagrams and screenshots?

The visuals preserve source evidence from the Chinese articles, so global readers can inspect interfaces, outputs, and workflows instead of relying only on a translated summary.

Lesson 15

Optimizing lookup with a hash table

In the previous article, we conducted an in depth analysis of space complexity. This article focuses on common strategies for optimizing algorithms—particularly how...

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Lesson 14

Analyzing Space Complexity

In algorithm analysis, space complexity is a crucial concept. It describes the amount of memory space required by an algorithm during its execution—typically as a fu...

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Lesson 13

Advanced Algorithm Series: How to Calculate Time Complexity

In the previous article, we explored classic examples of greedy algorithms and understood how greedy algorithms construct globally optimal solutions by selecting loc...

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Lesson 12

Classic Greedy Algorithm Examples and Applications

In the previous article, we explored the differences between greedy algorithms and dynamic programming, highlighting their respective suitability for different types...

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Lesson 11

Difference Between Greedy Algorithms and Dynamic Programming

In the previous article, we introduced the fundamentals of greedy algorithms, covering their basic principles and common application scenarios. This article delves d...

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Lesson 10

Greedy Algorithms: Fundamentals

In the study of algorithms, the greedy algorithm serves as an important strategy frequently employed to solve a specific class of problems. Similar to dynamic progra...

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Lesson 9

Example input

In the previous article, we discussed classic dynamic programming problems and their solutions, mastering how to apply dynamic programming to solve common optimizati...

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Lesson 8

Advanced Dynamic Programming: Classic Problem-Solving Techniques

In the previous article, we explored the fundamental concepts and applications of dynamic programming. Today, we’ll delve deeper into classic dynamic programming pro...

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Lesson 7

Example usage

In the previous article, we delved deeply into the fundamentals of network flow algorithms and learned how to solve complex problems by modeling them as networks. To...

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Lesson 6

Example usage

In the previous article of the graph algorithms series, we thoroughly explored minimum spanning trees (MSTs), including the widely used Kruskal’s and Prim’s algorith...

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Lesson 5

Example data

In the previous article, we explored Dijkstra’s algorithm and the A algorithm—two widely used pathfinding algorithms that solve the shortest path problem. In graph t...

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Lesson 4

Example graph

In the world of algorithms, graph algorithms have broad applications—especially in pathfinding and optimization problems. In the previous tutorial, we compared advan...

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Lesson 3

Comparing Advanced Sorting Algorithms

In the previous article, we explored two advanced sorting algorithms— bucket sort and radix sort —examining how each works and their respective use cases. In this ar...

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Lesson 2

Example usage

In the previous article, we explored optimizations for merge sort and quicksort—algorithms that perform exceptionally well in most scenarios. However, under certain...

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Lesson 1

Test

In advanced study of sorting algorithms, merge sort and quicksort stand out as two classic algorithms with exceptional practical value. In real world applications, b...

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